{"id":1392,"date":"2024-11-13T15:22:08","date_gmt":"2024-11-13T15:22:08","guid":{"rendered":"https:\/\/crp.trb.org\/acrpwebresource18\/dublin-airport-daa\/"},"modified":"2024-11-13T17:28:20","modified_gmt":"2024-11-13T17:28:20","slug":"dublin-airport-daa","status":"publish","type":"page","link":"https:\/\/crp.trb.org\/acrpwebresource18\/dublin-airport-daa\/","title":{"rendered":"Dublin Airport (DAA)"},"content":{"rendered":"<div data-elementor-type=\"wp-page\" data-elementor-id=\"1392\" class=\"elementor elementor-1392\" data-elementor-post-type=\"page\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-26cd7be5 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"26cd7be5\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-fbf17be\" data-id=\"fbf17be\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1943b4a elementor-widget elementor-widget-heading\" data-id=\"1943b4a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-xl\">Dublin Airport<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3f617878 sub-title-custom elementor-widget elementor-widget-heading\" data-id=\"3f617878\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h5 class=\"elementor-heading-title elementor-size-medium\"><i>Optimizing Staff Rostering with Prediction Models<\/i><\/h5>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-209307d7 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"209307d7\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-50b1695d\" data-id=\"50b1695d\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-41361655 elementor-widget elementor-widget-text-editor\" data-id=\"41361655\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span class=\"NormalTextRun SCXW140598287 BCX0\">Dublin Airport (DUB)<\/span><span class=\"NormalTextRun SCXW140598287 BCX0\"> is state-owned<\/span> <span class=\"NormalTextRun SCXW140598287 BCX0\">and <\/span><span class=\"NormalTextRun SCXW140598287 BCX0\">operated by <\/span><span class=\"NormalTextRun SCXW140598287 BCX0\">DAA<\/span><span class=\"NormalTextRun SCXW140598287 BCX0\"> (formerly Dublin Airport Authority<\/span><span class=\"NormalTextRun SCXW140598287 BCX0\">)<\/span><span class=\"NormalTextRun SCXW140598287 BCX0\">. <\/span><span class=\"NormalTextRun SCXW140598287 BCX0\">I<\/span><span class=\"NormalTextRun SCXW140598287 BCX0\">n 2022<\/span><span class=\"NormalTextRun SCXW140598287 BCX0\">, Dublin Airport<\/span><span class=\"NormalTextRun SCXW140598287 BCX0\">&nbsp;served <\/span><span class=\"NormalTextRun AdvancedProofingIssueV2Themed SCXW140598287 BCX0\">28 million passengers<\/span><span class=\"NormalTextRun SCXW140598287 BCX0\">, surpassing expectations for international travel compared to pre-pandemic levels (231% increase over 2021; 85% recovery of 2019 levels), and<\/span><span class=\"NormalTextRun SCXW140598287 BCX0\"> w<\/span><span class=\"NormalTextRun SCXW140598287 BCX0\">orking with over 43 airline partners,<\/span><span class=\"NormalTextRun SCXW140598287 BCX0\"> Dublin Airport provides service to 180 destinations. <\/span><span class=\"NormalTextRun SCXW140598287 BCX0\">The DAA data and <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> team, housed under the chief information officer, works directly with IT staff to operate and update business systems.<\/span><span class=\"NormalTextRun SCXW140598287 BCX0\"> DAA uses <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Advanced Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span data-contrast=&amp;quot;auto&amp;quot;&amp;gt;Automated (or semi-automated) statistical techniques or logic-based methods for analyzing data to discover underlying patterns, make predictions, or generate recommendations (e.g., sentiment analysis, graph analysis, multivariate statistics, machine learning, neural networks).&amp;lt;\/span&amp;gt;&amp;lt;span data-ccp-props=&amp;quot;{&amp;amp;quot;134233279&amp;amp;quot;:false,&amp;amp;quot;201341983&amp;amp;quot;:0,&amp;amp;quot;335559739&amp;amp;quot;:60,&amp;amp;quot;335559740&amp;amp;quot;:259}&amp;quot;&amp;gt;&nbsp;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/advanced-analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>advanced analytics<\/a> to forecast passenger volumes based on arrival patterns, flight schedules, and seasonal information to predict the number of passengers every day and provide recommendations for the number of security screening lanes to open and staff required<\/span><span class=\"NormalTextRun SCXW140598287 BCX0\">. <\/span><span class=\"NormalTextRun SCXW140598287 BCX0\">The <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Data Science&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW205483891 BCX0&amp;quot;&amp;gt;A rapidly evolving field that uses a combination of methods and principles from statistics and computer science to work with and draw insights from data (e.g., statistics and machine learning&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW205483891 BCX0&amp;quot;&amp;gt;,&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW205483891 BCX0&amp;quot;&amp;gt; unsupervised and supervised models&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW205483891 BCX0&amp;quot;&amp;gt;,&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW205483891 BCX0&amp;quot;&amp;gt; clustering, classification, regression).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/data-science\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>data science<\/a>\/engineering team <\/span><span class=\"NormalTextRun SCXW140598287 BCX0\">is successfully<\/span> integrating&nbsp;<span class=\"NormalTextRun SCXW140598287 BCX0\">the<\/span><span class=\"NormalTextRun SCXW140598287 BCX0\"> outputs from <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Prediction Models&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;TextRun SCXW261411142 BCX0&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW261411142 BCX0&amp;quot;&amp;gt;Statistical models for predicting target variable outcomes based on a set of independent predictor variables (e.g., linear regression).&amp;lt;\/span&amp;gt;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/prediction-models\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>prediction models<\/a> directly into <\/span><span class=\"NormalTextRun SCXW140598287 BCX0\">the <\/span><span class=\"NormalTextRun SCXW140598287 BCX0\">staff <\/span><span class=\"NormalTextRun SCXW140598287 BCX0\">rostering<\/span><span class=\"NormalTextRun SCXW140598287 BCX0\"> system<\/span><span class=\"NormalTextRun SCXW140598287 BCX0\">, which<\/span> <span class=\"NormalTextRun SCXW140598287 BCX0\">helps plan<\/span><span class=\"NormalTextRun SCXW140598287 BCX0\"> employee<\/span> <span class=\"NormalTextRun SCXW140598287 BCX0\">schedules and <\/span><span class=\"NormalTextRun SCXW140598287 BCX0\">rosters to <\/span><span class=\"NormalTextRun SCXW140598287 BCX0\">meet demand and <\/span><span class=\"NormalTextRun SCXW140598287 BCX0\">operate the airport <\/span><span class=\"NormalTextRun SCXW140598287 BCX0\">more <\/span><span class=\"NormalTextRun SCXW140598287 BCX0\">efficientl<\/span><span class=\"NormalTextRun SCXW140598287 BCX0\">y<\/span><span class=\"NormalTextRun SCXW140598287 BCX0\">.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-2c94d93c\" data-id=\"2c94d93c\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1c74949a elementor-widget elementor-widget-image\" data-id=\"1c74949a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\/\/crp.trb.org\/acrpwebresource18\/wp-content\/uploads\/sites\/34\/2024\/11\/case_study_thumb_5_v2.png\" class=\"attachment-large size-large wp-image-1248\" alt=\"\" srcset=\"https:\/\/crp.trb.org\/acrpwebresource18\/wp-content\/uploads\/sites\/34\/2024\/11\/case_study_thumb_5_v2.png 768w, https:\/\/crp.trb.org\/acrpwebresource18\/wp-content\/uploads\/sites\/34\/2024\/11\/case_study_thumb_5_v2-300x169.png 300w\" sizes=\"(max-width: 768px) 85vw, 768px\"\/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\">Image credit: Colin M. Thompson\/Shutterstock.com<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<div class=\"elementor-element elementor-element-3e24612f elementor-widget elementor-widget-spacer\" data-id=\"3e24612f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-40c7504d elementor-widget elementor-widget-heading\" data-id=\"40c7504d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-large\">Airport Demographics<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-1c78466e elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"1c78466e\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-56bf119a\" data-id=\"56bf119a\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-13e5d7ad elementor-view-default elementor-position-block-start elementor-mobile-position-block-start elementor-widget elementor-widget-icon-box\" data-id=\"13e5d7ad\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span class=\"elementor-icon\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-map-marked-alt\"><\/i>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h3 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span>\n\t\t\t\t\t\t\tWestern Europe\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-65da4627\" data-id=\"65da4627\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-2e288e21 elementor-view-default elementor-position-block-start elementor-mobile-position-block-start elementor-widget elementor-widget-icon-box\" data-id=\"2e288e21\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span class=\"elementor-icon\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-sitemap\"><\/i>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h3 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span>\n\t\t\t\t\t\t\tDAA\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-2385abf9\" data-id=\"2385abf9\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-739bf593 elementor-view-default elementor-position-block-start elementor-mobile-position-block-start elementor-widget elementor-widget-icon-box\" data-id=\"739bf593\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span class=\"elementor-icon\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-users\"><\/i>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h3 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span>\n\t\t\t\t\t\t\t19,000 Employees\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-24ce9a16 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"24ce9a16\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-d3df3ba\" data-id=\"d3df3ba\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-2687959d elementor-widget elementor-widget-spacer\" data-id=\"2687959d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3395ffab elementor-widget elementor-widget-heading\" data-id=\"3395ffab\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-large\">Data Analytics Capabilities at DAA<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-ab1a0d4 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"ab1a0d4\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-10fc1d85\" data-id=\"10fc1d85\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5b764e23 elementor-widget elementor-widget-image\" data-id=\"5b764e23\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"415\" height=\"265\" src=\"https:\/\/crp.trb.org\/acrpwebresource18\/wp-content\/uploads\/sites\/34\/2024\/11\/square1.png\" class=\"attachment-medium_large size-medium_large wp-image-1272\" alt=\"\" srcset=\"https:\/\/crp.trb.org\/acrpwebresource18\/wp-content\/uploads\/sites\/34\/2024\/11\/square1.png 415w, https:\/\/crp.trb.org\/acrpwebresource18\/wp-content\/uploads\/sites\/34\/2024\/11\/square1-300x192.png 300w\" sizes=\"(max-width: 415px) 85vw, 415px\"\/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-1d30afe4\" data-id=\"1d30afe4\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-4122eefa elementor-widget elementor-widget-text-editor\" data-id=\"4122eefa\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul><li style=\"list-style-type: none;\"><ul style=\"font-weight: 400;\"><li data-leveltext=\"&#61656;\" data-font=\"Wingdings\" data-listid=\"5\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":720,\"335559991\":360,\"469769226\":\"Wingdings\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61656;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Dublin Airport set out specific milestones for continuous improvements related to the passenger experience. <\/span><span data-ccp-props='{\"201341983\":0,\"335559739\":0,\"335559740\":240}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61656;\" data-font=\"Wingdings\" data-listid=\"5\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":720,\"335559991\":360,\"469769226\":\"Wingdings\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61656;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">The airport experienced passenger congestion that led to increased wait times at security screening checkpoints.<\/span><span data-ccp-props='{\"201341983\":0,\"335559739\":0,\"335559740\":240}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61656;\" data-font=\"Wingdings\" data-listid=\"5\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":720,\"335559991\":360,\"469769226\":\"Wingdings\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61656;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"3\" data-aria-level=\"1\"><span data-contrast=\"auto\">Government imposed regulatory penalties for security screening that exceeded 30-minute wait times. <\/span><span data-ccp-props='{\"201341983\":0,\"335559739\":0,\"335559740\":240}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61656;\" data-font=\"Wingdings\" data-listid=\"5\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":720,\"335559991\":360,\"469769226\":\"Wingdings\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61656;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"4\" data-aria-level=\"1\"><span data-contrast=\"auto\">Airport needed to determine the number of security lanes to open and staff required to meet passenger demand.&nbsp;<\/span><span data-ccp-props='{\"201341983\":0,\"335559739\":0,\"335559740\":240}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61656;\" data-font=\"Wingdings\" data-listid=\"5\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":720,\"335559991\":360,\"469769226\":\"Wingdings\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61656;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"5\" data-aria-level=\"1\"><span data-contrast=\"auto\">Airport needed to plan staff rosters (schedules) to operate the airport efficiently according to the level of passenger demand.<\/span><span data-ccp-props='{\"201341983\":0,\"335559739\":0,\"335559740\":240}'>&nbsp;<\/span><\/li><\/ul><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-89c06f6 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"89c06f6\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-19565021 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"19565021\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-474f06cc\" data-id=\"474f06cc\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-54ef33a elementor-widget elementor-widget-image\" data-id=\"54ef33a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"415\" height=\"265\" src=\"https:\/\/crp.trb.org\/acrpwebresource18\/wp-content\/uploads\/sites\/34\/2024\/11\/square2.png\" class=\"attachment-medium_large size-medium_large wp-image-1273\" alt=\"\" srcset=\"https:\/\/crp.trb.org\/acrpwebresource18\/wp-content\/uploads\/sites\/34\/2024\/11\/square2.png 415w, https:\/\/crp.trb.org\/acrpwebresource18\/wp-content\/uploads\/sites\/34\/2024\/11\/square2-300x192.png 300w\" sizes=\"(max-width: 415px) 85vw, 415px\"\/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-2e77b4ae\" data-id=\"2e77b4ae\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-4c9835b2 elementor-widget elementor-widget-text-editor\" data-id=\"4c9835b2\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul><li style=\"list-style-type: none;\"><ul style=\"font-weight: 400;\"><li data-leveltext=\"&#61656;\" data-font=\"Wingdings\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":720,\"335559991\":360,\"469769226\":\"Wingdings\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61656;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">DAA uses <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Advanced Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span data-contrast=&amp;quot;auto&amp;quot;&amp;gt;Automated (or semi-automated) statistical techniques or logic-based methods for analyzing data to discover underlying patterns, make predictions, or generate recommendations (e.g., sentiment analysis, graph analysis, multivariate statistics, machine learning, neural networks).&amp;lt;\/span&amp;gt;&amp;lt;span data-ccp-props=&amp;quot;{&amp;amp;quot;134233279&amp;amp;quot;:false,&amp;amp;quot;201341983&amp;amp;quot;:0,&amp;amp;quot;335559739&amp;amp;quot;:60,&amp;amp;quot;335559740&amp;amp;quot;:259}&amp;quot;&amp;gt;&nbsp;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/advanced-analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>advanced analytics<\/a> and statistical models of past and current data patterns to predict future patterns.&nbsp;<\/span><span data-ccp-props='{\"201341983\":0,\"335559739\":0,\"335559740\":240}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61656;\" data-font=\"Wingdings\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":720,\"335559991\":360,\"469769226\":\"Wingdings\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61656;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">Dublin Airport developed a comprehensive research passenger profiling program (passenger tracking). <\/span><span data-ccp-props='{\"201341983\":0,\"335559737\":158,\"335559738\":120,\"335559739\":0,\"335559740\":240}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61656;\" data-font=\"Wingdings\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":720,\"335559991\":360,\"469769226\":\"Wingdings\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61656;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"3\" data-aria-level=\"1\"><span data-contrast=\"auto\"><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Forecasting&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;TextRun SCXW33429170 BCX0&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW33429170 BCX0&amp;quot;&amp;gt;Predictive analytics technique that takes data and predicts the future value for the data by factoring in a variety of inputs and identifying trends.&amp;lt;\/span&amp;gt;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/forecasting\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Forecasting<\/a> models predict the number of passengers every day based on arrivals, flight schedules, and season. <\/span><span data-ccp-props='{\"201341983\":0,\"335559737\":158,\"335559738\":120,\"335559739\":0,\"335559740\":240}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61656;\" data-font=\"Wingdings\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":720,\"335559991\":360,\"469769226\":\"Wingdings\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61656;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"4\" data-aria-level=\"1\"><span data-contrast=\"auto\"><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Machine Learning (ML)&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;TextRun SCXW86997922 BCX0&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW86997922 BCX0&amp;quot;&amp;gt;Advanced computational algorithms based on mathematical or statistical models, used for both supervised learning tasks (e.g., classification, regression) and unsupervised learning tasks (e.g., clustering, dimension reduction). ML models are trained on a subset of data (training set) and then model performance is tested on previously unseen data (test set).&nbsp;&amp;lt;\/span&amp;gt;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/machine-learning-ml\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Machine learning (ML)<\/a> algorithms are deployed to improve model accuracy and make improvements in security.<\/span><span data-ccp-props='{\"201341983\":0,\"335559737\":158,\"335559738\":120,\"335559739\":0,\"335559740\":240}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61656;\" data-font=\"Wingdings\" data-listid=\"6\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":720,\"335559991\":360,\"469769226\":\"Wingdings\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61656;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"5\" data-aria-level=\"1\"><span data-contrast=\"auto\">Rostering system incorporates staff preferences matched with expected peaks in passenger demand.<\/span><span data-ccp-props='{\"201341983\":0,\"335559737\":158,\"335559738\":120,\"335559739\":0,\"335559740\":240}'>&nbsp;<\/span><\/li><\/ul><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-24d69fcc elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"24d69fcc\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-75a6a300 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"75a6a300\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-4e993b3d\" data-id=\"4e993b3d\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-3ceb148b elementor-widget elementor-widget-image\" data-id=\"3ceb148b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"415\" height=\"265\" src=\"https:\/\/crp.trb.org\/acrpwebresource18\/wp-content\/uploads\/sites\/34\/2024\/11\/square3.png\" class=\"attachment-medium_large size-medium_large wp-image-1274\" alt=\"\" srcset=\"https:\/\/crp.trb.org\/acrpwebresource18\/wp-content\/uploads\/sites\/34\/2024\/11\/square3.png 415w, https:\/\/crp.trb.org\/acrpwebresource18\/wp-content\/uploads\/sites\/34\/2024\/11\/square3-300x192.png 300w\" sizes=\"(max-width: 415px) 85vw, 415px\"\/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-78d88636\" data-id=\"78d88636\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-9a98861 elementor-widget elementor-widget-text-editor\" data-id=\"9a98861\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><strong><span class=\"TextRun SCXW183147850 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW183147850 BCX0\">Technical Requirements<\/span><\/span><\/strong><\/p><ul><li style=\"list-style-type: none;\"><ul style=\"font-weight: 400;\"><li data-leveltext=\"&#61656;\" data-font=\"Wingdings\" data-listid=\"5\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":720,\"335559991\":360,\"469769226\":\"Wingdings\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61656;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">The engineering team builds data platforms and corporate data warehouses to store and organize curated data.&nbsp;<\/span><span data-ccp-props='{\"201341983\":0,\"335559738\":120,\"335559739\":0,\"335559740\":240}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61656;\" data-font=\"Wingdings\" data-listid=\"5\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":720,\"335559991\":360,\"469769226\":\"Wingdings\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61656;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">Data is passed to the <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics Platform&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;TextRun SCXW102067383 BCX0&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW102067383 BCX0&amp;quot;&amp;gt;Full-featured technology solution designed to join different tools and analytics systems together with an engine to execute, a database or repository to store and manage the data, data mining processes, and techniques and mechanisms for obtaining and preparing data that are not stored.&nbsp;&amp;lt;\/span&amp;gt;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics-platform\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics platform<\/a> to calculate metrics that are viewable with drag-and-drop <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Dashboards&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span data-contrast=&amp;quot;auto&amp;quot;&amp;gt;Reporting mechanisms that aggregate and visually display data and&nbsp;&amp;lt;span class=&amp;quot;&amp;quot; role=&amp;quot;link&amp;quot; data-gt-translate-attributes=&amp;quot;[{&amp;amp;quot;attribute&amp;amp;quot;:&amp;amp;quot;data-cmtooltip&amp;amp;quot;, &amp;amp;quot;format&amp;amp;quot;:&amp;amp;quot;html&amp;amp;quot;}]&amp;quot;&amp;gt;key performance indicators (KPIs)&amp;lt;\/span&amp;gt;&nbsp;to end-users as charts and graphs to indicate progress toward pre-defined goals.&nbsp;&amp;lt;\/span&amp;gt;&amp;lt;span data-ccp-props=&amp;quot;{&amp;amp;quot;134233279&amp;amp;quot;:false,&amp;amp;quot;201341983&amp;amp;quot;:0,&amp;amp;quot;335559739&amp;amp;quot;:60,&amp;amp;quot;335559740&amp;amp;quot;:259}&amp;quot;&amp;gt;&nbsp;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/dashboards\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>dashboards<\/a>.<\/span><span data-ccp-props='{\"201341983\":0,\"335559739\":0,\"335559740\":240}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61656;\" data-font=\"Wingdings\" data-listid=\"5\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":720,\"335559991\":360,\"469769226\":\"Wingdings\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61656;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"3\" data-aria-level=\"1\"><span data-contrast=\"auto\"><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Prediction Models&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;TextRun SCXW261411142 BCX0&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW261411142 BCX0&amp;quot;&amp;gt;Statistical models for predicting target variable outcomes based on a set of independent predictor variables (e.g., linear regression).&amp;lt;\/span&amp;gt;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/prediction-models\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Prediction models<\/a> that forecast passenger demand on any given day by general trends and seasonality.&nbsp;<\/span><span data-ccp-props='{\"201341983\":0,\"335559739\":0,\"335559740\":240}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61656;\" data-font=\"Wingdings\" data-listid=\"5\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":720,\"335559991\":360,\"469769226\":\"Wingdings\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61656;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"4\" data-aria-level=\"1\"><span data-contrast=\"auto\">Integrated process for using historical and current data to make real-time decisions (e.g., number of security lanes).<\/span><span data-ccp-props='{\"201341983\":0,\"335559739\":0,\"335559740\":240}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61656;\" data-font=\"Wingdings\" data-listid=\"5\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":720,\"335559991\":360,\"469769226\":\"Wingdings\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61656;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"5\" data-aria-level=\"1\"><span data-contrast=\"auto\">Rostering system that integrates data from multiple sources, including staff preferences, shift duration, and demand. <\/span><span data-ccp-props='{\"201341983\":0,\"335559739\":0,\"335559740\":240}'>&nbsp;<\/span><\/li><\/ul><\/li><\/ul><p><strong><span class=\"TextRun SCXW211498913 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW211498913 BCX0\">Human Capital Requirements<\/span><\/span><\/strong><\/p><ul><li style=\"list-style-type: none;\"><ul style=\"font-weight: 400;\"><li data-leveltext=\"&#61656;\" data-font=\"Wingdings\" data-listid=\"5\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":720,\"335559991\":360,\"469769226\":\"Wingdings\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61656;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Network of strategic partners to manage demand and specific skillsets in data <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a>\/science\/engineering.&nbsp;<\/span><span data-ccp-props='{\"201341983\":0,\"335559739\":0,\"335559740\":240}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61656;\" data-font=\"Wingdings\" data-listid=\"5\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":720,\"335559991\":360,\"469769226\":\"Wingdings\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61656;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">Product owners to provide domain expertise and perspective (e.g., security areas, parking, concessions).<\/span><span data-ccp-props='{\"201341983\":0,\"335559739\":0,\"335559740\":240}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61656;\" data-font=\"Wingdings\" data-listid=\"5\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":720,\"335559991\":360,\"469769226\":\"Wingdings\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61656;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"3\" data-aria-level=\"1\"><span data-contrast=\"auto\">Individuals who are responsible and accountable for what happens as a result of the model forecasts (e.g., wait times).<\/span><span data-ccp-props='{\"201341983\":0,\"335559739\":0,\"335559740\":240}'>&nbsp;<\/span><\/li><\/ul><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5e2f14f2 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"5e2f14f2\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-3980717c elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"3980717c\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-2fe7a600\" data-id=\"2fe7a600\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-4727120e elementor-widget elementor-widget-image\" data-id=\"4727120e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"415\" height=\"265\" src=\"https:\/\/crp.trb.org\/acrpwebresource18\/wp-content\/uploads\/sites\/34\/2024\/11\/square4.png\" class=\"attachment-medium_large size-medium_large wp-image-1275\" alt=\"\" srcset=\"https:\/\/crp.trb.org\/acrpwebresource18\/wp-content\/uploads\/sites\/34\/2024\/11\/square4.png 415w, https:\/\/crp.trb.org\/acrpwebresource18\/wp-content\/uploads\/sites\/34\/2024\/11\/square4-300x192.png 300w\" sizes=\"(max-width: 415px) 85vw, 415px\"\/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-760c43ac\" data-id=\"760c43ac\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-45a8d40d elementor-widget elementor-widget-text-editor\" data-id=\"45a8d40d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><strong><span class=\"TextRun SCXW196113664 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW196113664 BCX0\">Data and Technology Limitations<\/span><\/span><\/strong><\/p><ul><li style=\"list-style-type: none;\"><ul><li data-leveltext=\"&#61656;\" data-font=\"Wingdings\" data-listid=\"5\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":720,\"335559991\":360,\"469769226\":\"Wingdings\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61656;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Predicting passenger demand is volatile as the number of passengers throughout the day can vary from day to day.<\/span><span data-ccp-props='{\"201341983\":0,\"335559739\":0,\"335559740\":240}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61656;\" data-font=\"Wingdings\" data-listid=\"5\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":720,\"335559991\":360,\"469769226\":\"Wingdings\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61656;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">Basic personnel numbers inform supply and need to be integrated to control supply <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Throughput&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW194513523 BCX0&amp;quot;&amp;gt;Volume of work or information flowing through a system (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW194513523 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW194513523 BCX0&amp;quot;&amp;gt;information storage and retrieval systems&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW194513523 BCX0&amp;quot;&amp;gt;)&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW194513523 BCX0&amp;quot;&amp;gt;, in which throughput is measured in units such as number of times accessed per hour.&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/throughput\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>throughput<\/a> via staff rosters.&nbsp;&nbsp;<\/span><span data-ccp-props='{\"201341983\":0,\"335559739\":0,\"335559740\":240}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61656;\" data-font=\"Wingdings\" data-listid=\"5\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":720,\"335559991\":360,\"469769226\":\"Wingdings\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61656;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"3\" data-aria-level=\"1\"><span data-contrast=\"auto\">With <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Forecasting&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;TextRun SCXW33429170 BCX0&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW33429170 BCX0&amp;quot;&amp;gt;Predictive analytics technique that takes data and predicts the future value for the data by factoring in a variety of inputs and identifying trends.&amp;lt;\/span&amp;gt;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/forecasting\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>forecasting<\/a>, not all errors are equal (e.g., root mean square error) and some models are more risk averse (e.g., more staff).<\/span><span data-ccp-props='{\"201341983\":0,\"335559739\":0,\"335559740\":240}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61656;\" data-font=\"Wingdings\" data-listid=\"5\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":720,\"335559991\":360,\"469769226\":\"Wingdings\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61656;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"4\" data-aria-level=\"1\"><span data-contrast=\"auto\">Post-pandemic <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Prediction Models&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;TextRun SCXW261411142 BCX0&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW261411142 BCX0&amp;quot;&amp;gt;Statistical models for predicting target variable outcomes based on a set of independent predictor variables (e.g., linear regression).&amp;lt;\/span&amp;gt;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/prediction-models\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>prediction models<\/a> use historical demand data but weigh current\/real-time information more heavily. <\/span><span data-ccp-props='{\"201341983\":0,\"335559739\":0,\"335559740\":240}'>&nbsp;<\/span><\/li><\/ul><\/li><\/ul><p><strong><span class=\"TextRun SCXW147208012 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW147208012 BCX0\">People and Process Limitations<\/span><\/span><\/strong><\/p><ul><li style=\"list-style-type: none;\"><ul><li data-leveltext=\"&#61656;\" data-font=\"Wingdings\" data-listid=\"5\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":720,\"335559991\":360,\"469769226\":\"Wingdings\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61656;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Irish government regulations impose fines for customer wait times for queues exceeding 30 minutes ($100,000).<\/span><span data-ccp-props='{\"201341983\":0,\"335559739\":0,\"335559740\":240}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61656;\" data-font=\"Wingdings\" data-listid=\"5\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":720,\"335559991\":360,\"469769226\":\"Wingdings\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61656;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">Level of risk tolerance and willingness to implement <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> solutions differed across the airport divisions.&nbsp;&nbsp;<\/span><span data-ccp-props='{\"201341983\":0,\"335559739\":0,\"335559740\":240}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61656;\" data-font=\"Wingdings\" data-listid=\"5\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":720,\"335559991\":360,\"469769226\":\"Wingdings\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61656;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"3\" data-aria-level=\"1\"><span data-contrast=\"auto\">Explaining over- vs under-forecasting to stakeholders and selecting business-centric metrics to report out. <\/span><span data-ccp-props='{\"201341983\":0,\"335559739\":0,\"335559740\":240}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61656;\" data-font=\"Wingdings\" data-listid=\"5\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":720,\"335559991\":360,\"469769226\":\"Wingdings\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61656;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"4\" data-aria-level=\"1\"><span data-contrast=\"auto\">The COVID-19 pandemic altered airport operations, and historical demand was not predictive for current demand.<\/span><\/li><\/ul><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-362d3d3f elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"362d3d3f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-3079c8c1 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"3079c8c1\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-33822a57\" data-id=\"33822a57\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-7e7a2a47 elementor-widget elementor-widget-image\" data-id=\"7e7a2a47\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"415\" height=\"265\" src=\"https:\/\/crp.trb.org\/acrpwebresource18\/wp-content\/uploads\/sites\/34\/2024\/11\/square5.png\" class=\"attachment-medium_large size-medium_large wp-image-1276\" alt=\"\" srcset=\"https:\/\/crp.trb.org\/acrpwebresource18\/wp-content\/uploads\/sites\/34\/2024\/11\/square5.png 415w, https:\/\/crp.trb.org\/acrpwebresource18\/wp-content\/uploads\/sites\/34\/2024\/11\/square5-300x192.png 300w\" sizes=\"(max-width: 415px) 85vw, 415px\"\/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-31c2733f\" data-id=\"31c2733f\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-34e613f4 elementor-widget elementor-widget-text-editor\" data-id=\"34e613f4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul><li style=\"list-style-type: none;\"><ul style=\"font-weight: 400;\"><li data-leveltext=\"&#61656;\" data-font=\"Wingdings\" data-listid=\"5\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":720,\"335559991\":360,\"469769226\":\"Wingdings\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61656;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">The <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> team works directly with IT staff responsible for operating and upgrading key business systems.<\/span><span data-ccp-props='{\"201341983\":0,\"335559739\":0,\"335559740\":240}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61656;\" data-font=\"Wingdings\" data-listid=\"5\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":720,\"335559991\":360,\"469769226\":\"Wingdings\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61656;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\"><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Forecasting&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;TextRun SCXW33429170 BCX0&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW33429170 BCX0&amp;quot;&amp;gt;Predictive analytics technique that takes data and predicts the future value for the data by factoring in a variety of inputs and identifying trends.&amp;lt;\/span&amp;gt;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/forecasting\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Forecasting<\/a> passenger demand can reduce wait times and improve the quality of passenger experience.<\/span><span data-ccp-props='{\"201341983\":0,\"335559738\":120,\"335559739\":0,\"335559740\":240}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61656;\" data-font=\"Wingdings\" data-listid=\"5\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":720,\"335559991\":360,\"469769226\":\"Wingdings\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61656;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"3\" data-aria-level=\"1\"><span data-contrast=\"auto\">Passenger forecasts are essential for determining the number of security lanes to open and the staff required.&nbsp;<\/span><span data-ccp-props='{\"201341983\":0,\"335559738\":120,\"335559739\":0,\"335559740\":240}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61656;\" data-font=\"Wingdings\" data-listid=\"5\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":720,\"335559991\":360,\"469769226\":\"Wingdings\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61656;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"4\" data-aria-level=\"1\"><span data-contrast=\"auto\"><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Prediction Models&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;TextRun SCXW261411142 BCX0&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW261411142 BCX0&amp;quot;&amp;gt;Statistical models for predicting target variable outcomes based on a set of independent predictor variables (e.g., linear regression).&amp;lt;\/span&amp;gt;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/prediction-models\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>Prediction models<\/a> were integrated into the staff rostering system to meet the anticipated passenger demand.<\/span><span data-ccp-props='{\"201341983\":0,\"335559738\":120,\"335559739\":0,\"335559740\":240}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61656;\" data-font=\"Wingdings\" data-listid=\"5\" data-list-defn-props='{\"335552541\":1,\"335559684\":-2,\"335559685\":720,\"335559991\":360,\"469769226\":\"Wingdings\",\"469769242\":[8226],\"469777803\":\"left\",\"469777804\":\"&#61656;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"5\" data-aria-level=\"1\"><span data-contrast=\"auto\">Optimizing the match between supply and demand increased operational efficiency and reduced wait times.<\/span><span data-ccp-props='{\"201341983\":0,\"335559738\":120,\"335559739\":0,\"335559740\":240}'>&nbsp;<\/span><\/li><\/ul><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7defa227 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"7defa227\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-5a0ea7e1 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"5a0ea7e1\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-53794d02\" data-id=\"53794d02\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5d72f647 elementor-widget elementor-widget-heading\" data-id=\"5d72f647\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-large\">Change Management Strategies<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7312d651 elementor-widget elementor-widget-text-editor\" data-id=\"7312d651\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul><li style=\"list-style-type: none;\"><ul style=\"font-weight: 400;\"><li data-leveltext=\"&#61607;\" data-font=\"Wingdings\" data-listid=\"3\" data-list-defn-props='{\"335551500\":29048,\"335551671\":58,\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Wingdings\",\"469769242\":[9642],\"469777803\":\"left\",\"469777804\":\"&#61607;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"58\" data-aria-level=\"1\"><span data-contrast=\"auto\">DAA made a strategic decision in 2014 to create a data culture and invest in new operating models, technical platforms, and <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> talent across the organization. <\/span><span data-ccp-props='{\"201341983\":0,\"335559739\":0,\"335559740\":240}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61607;\" data-font=\"Wingdings\" data-listid=\"3\" data-list-defn-props='{\"335551500\":29048,\"335551671\":58,\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Wingdings\",\"469769242\":[9642],\"469777803\":\"left\",\"469777804\":\"&#61607;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"58\" data-aria-level=\"1\"><span data-contrast=\"auto\">Engaging with airport leadership on <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> early in the project helped to align the <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> objectives with business objectives.<\/span><span data-ccp-props='{\"134233279\":true,\"201341983\":0,\"335559739\":0,\"335559740\":240}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61607;\" data-font=\"Wingdings\" data-listid=\"3\" data-list-defn-props='{\"335551500\":29048,\"335551671\":58,\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Wingdings\",\"469769242\":[9642],\"469777803\":\"left\",\"469777804\":\"&#61607;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"58\" data-aria-level=\"1\"><span data-contrast=\"auto\">Division product owners identified the business problem, prioritized and signed off on business requirements, and aligned the <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> goals to business objectives.&nbsp;<\/span><span data-ccp-props='{\"134233279\":true,\"201341983\":0,\"335559739\":0,\"335559740\":240}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61607;\" data-font=\"Wingdings\" data-listid=\"3\" data-list-defn-props='{\"335551500\":29048,\"335551671\":58,\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Wingdings\",\"469769242\":[9642],\"469777803\":\"left\",\"469777804\":\"&#61607;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"58\" data-aria-level=\"1\"><span data-contrast=\"auto\">Growth in data generation requires investment in data capabilities to manage increased volume (e.g., big-data engineering and cloud-based solutions).<\/span><span data-ccp-props='{\"134233279\":true,\"201341983\":0,\"335559739\":0,\"335559740\":240}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61607;\" data-font=\"Wingdings\" data-listid=\"3\" data-list-defn-props='{\"335551500\":29048,\"335551671\":58,\"335552541\":1,\"335559684\":-2,\"335559685\":360,\"335559991\":360,\"469769226\":\"Wingdings\",\"469769242\":[9642],\"469777803\":\"left\",\"469777804\":\"&#61607;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"58\" data-aria-level=\"1\"><span data-contrast=\"auto\">Investments in modern data and <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> platforms, increased computing power to process data, and advanced tools to derive actionable insights (e.g., ML, artificial intelligence). <\/span><span data-ccp-props='{\"134233279\":true,\"201341983\":0,\"335559739\":0,\"335559740\":240}'>&nbsp;<\/span><\/li><\/ul><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1474ce23 elementor-widget elementor-widget-spacer\" data-id=\"1474ce23\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2e6b665f elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"2e6b665f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-large\">Greatest Challenges &amp; Lessons Learned<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-785f67cc elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"785f67cc\" data-element_type=\"section\" data-e-type=\"section\" data-settings='{\"background_background\":\"classic\"}'>\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-698b3ba4\" data-id=\"698b3ba4\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-6bf67927 elementor-widget elementor-widget-text-editor\" data-id=\"6bf67927\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><strong>Challenges<\/strong><\/p><ul><li style=\"list-style-type: none;\"><ul><li data-leveltext=\"&#61607;\" data-font=\"Wingdings\" data-listid=\"2\" data-list-defn-props='{\"335551500\":44970,\"335551671\":58,\"335552541\":1,\"335559684\":-2,\"335559685\":720,\"335559991\":360,\"469769226\":\"Wingdings\",\"469769242\":[9642],\"469777803\":\"left\",\"469777804\":\"&#61607;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"58\" data-aria-level=\"1\"><span data-contrast=\"none\">User adoption is a key challenge to overcome for implementing <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> solutions.&nbsp;&nbsp;<\/span><span data-ccp-props='{\"201341983\":0,\"335559739\":0,\"335559740\":240}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61607;\" data-font=\"Wingdings\" data-listid=\"2\" data-list-defn-props='{\"335551500\":44970,\"335551671\":58,\"335552541\":1,\"335559684\":-2,\"335559685\":720,\"335559991\":360,\"469769226\":\"Wingdings\",\"469769242\":[9642],\"469777803\":\"left\",\"469777804\":\"&#61607;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"58\" data-aria-level=\"1\"><span data-contrast=\"none\">Passenger queueing (security) users are generally more risk averse and slower to adopt change.<\/span><span data-ccp-props='{\"201341983\":0,\"335559739\":0,\"335559740\":240}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61607;\" data-font=\"Wingdings\" data-listid=\"2\" data-list-defn-props='{\"335551500\":44970,\"335551671\":58,\"335552541\":1,\"335559684\":-2,\"335559685\":720,\"335559991\":360,\"469769226\":\"Wingdings\",\"469769242\":[9642],\"469777803\":\"left\",\"469777804\":\"&#61607;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"58\" data-aria-level=\"1\"><span data-contrast=\"none\">Creating model outputs that can be seamlessly ingested by business tools in the <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> workflow.&nbsp;<\/span><span data-ccp-props='{\"201341983\":0,\"335559737\":135,\"335559739\":0,\"335559740\":240}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61607;\" data-font=\"Wingdings\" data-listid=\"2\" data-list-defn-props='{\"335551500\":44970,\"335551671\":58,\"335552541\":1,\"335559684\":-2,\"335559685\":720,\"335559991\":360,\"469769226\":\"Wingdings\",\"469769242\":[9642],\"469777803\":\"left\",\"469777804\":\"&#61607;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"58\" data-aria-level=\"1\"><span data-contrast=\"none\">Proliferation of sensor devices and getting an end-to-end view of operational efficiency at the airport is critical.<\/span><span data-ccp-props='{\"201341983\":0,\"335559739\":0,\"335559740\":240}'>&nbsp;<\/span><\/li><\/ul><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-2ab62e2f\" data-id=\"2ab62e2f\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-79d96388 elementor-widget elementor-widget-text-editor\" data-id=\"79d96388\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><strong>Lessons<\/strong><\/p><ul><li style=\"list-style-type: none;\"><ul><li data-leveltext=\"&#61607;\" data-font=\"Wingdings\" data-listid=\"2\" data-list-defn-props='{\"335551500\":44970,\"335551671\":58,\"335552541\":1,\"335559684\":-2,\"335559685\":720,\"335559991\":360,\"469769226\":\"Wingdings\",\"469769242\":[9642],\"469777803\":\"left\",\"469777804\":\"&#61607;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"58\" data-aria-level=\"1\"><span data-contrast=\"none\">Leadership support is crucial to ensuring engagement with internal stakeholders, airport staff, and IT.<\/span><span data-ccp-props='{\"134233279\":true,\"201341983\":0,\"335559739\":0,\"335559740\":240}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61607;\" data-font=\"Wingdings\" data-listid=\"2\" data-list-defn-props='{\"335551500\":44970,\"335551671\":58,\"335552541\":1,\"335559684\":-2,\"335559685\":720,\"335559991\":360,\"469769226\":\"Wingdings\",\"469769242\":[9642],\"469777803\":\"left\",\"469777804\":\"&#61607;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"58\" data-aria-level=\"1\"><span data-contrast=\"none\">Working collaboratively with business stakeholders is key to determining high-value business use-cases.<\/span><span data-ccp-props='{\"134233279\":true,\"201341983\":0,\"335559739\":0,\"335559740\":240}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61607;\" data-font=\"Wingdings\" data-listid=\"2\" data-list-defn-props='{\"335551500\":44970,\"335551671\":58,\"335552541\":1,\"335559684\":-2,\"335559685\":720,\"335559991\":360,\"469769226\":\"Wingdings\",\"469769242\":[9642],\"469777803\":\"left\",\"469777804\":\"&#61607;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"58\" data-aria-level=\"1\"><span data-contrast=\"none\">Employees personally invested in <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Forecasting&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;TextRun SCXW33429170 BCX0&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW33429170 BCX0&amp;quot;&amp;gt;Predictive analytics technique that takes data and predicts the future value for the data by factoring in a variety of inputs and identifying trends.&amp;lt;\/span&amp;gt;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/forecasting\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>forecasting<\/a> had more confidence in the data models over time.&nbsp;<\/span><span data-ccp-props='{\"201341983\":0,\"335559739\":0,\"335559740\":240}'>&nbsp;<\/span><\/li><li data-leveltext=\"&#61607;\" data-font=\"Wingdings\" data-listid=\"2\" data-list-defn-props='{\"335551500\":44970,\"335551671\":58,\"335552541\":1,\"335559684\":-2,\"335559685\":720,\"335559991\":360,\"469769226\":\"Wingdings\",\"469769242\":[9642],\"469777803\":\"left\",\"469777804\":\"&#61607;\",\"469777815\":\"hybridMultilevel\"}' data-aria-posinset=\"58\" data-aria-level=\"1\"><span data-contrast=\"none\">Airports need to continually adapt to meet new data challenges by focusing on the right level of priorities.<\/span><\/li><\/ul><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-13f76a7a elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"13f76a7a\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-6daa5e69\" data-id=\"6daa5e69\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-538d7bcc elementor-widget elementor-widget-spacer\" data-id=\"538d7bcc\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-6d58606e elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"6d58606e\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-45e58ef4\" data-id=\"45e58ef4\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-518bef74 elementor-widget elementor-widget-heading\" data-id=\"518bef74\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-large\">Impact to Organization <\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-16c1e38e elementor-widget elementor-widget-text-editor\" data-id=\"16c1e38e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span class=\"TextRun SCXW258410568 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW258410568 BCX0\">Dublin Airport<\/span> <span class=\"NormalTextRun SCXW258410568 BCX0\">(DAA) <\/span><span class=\"NormalTextRun SCXW258410568 BCX0\">is a data-driven organization with mature <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> capabilities. <\/span><span class=\"NormalTextRun SCXW258410568 BCX0\">The <\/span><span class=\"NormalTextRun SCXW258410568 BCX0\">DAA <\/span><span class=\"NormalTextRun SCXW258410568 BCX0\">d<\/span><span class=\"NormalTextRun SCXW258410568 BCX0\">ata and <\/span><span class=\"NormalTextRun SCXW258410568 BCX0\">a<\/span><span class=\"NormalTextRun SCXW258410568 BCX0\">nalytics team works with stakeholders in airport divisions to<\/span> <span class=\"NormalTextRun SCXW258410568 BCX0\">u<\/span><span class=\"NormalTextRun SCXW258410568 BCX0\">nderstand business challenges<\/span><span class=\"NormalTextRun SCXW258410568 BCX0\"> where <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> can<\/span><span class=\"NormalTextRun SCXW258410568 BCX0\"> increas<\/span><span class=\"NormalTextRun SCXW258410568 BCX0\">e<\/span><span class=\"NormalTextRun SCXW258410568 BCX0\"> operational efficiency<\/span><span class=\"NormalTextRun SCXW258410568 BCX0\"> and<\/span><span class=\"NormalTextRun SCXW258410568 BCX0\"> improv<\/span><span class=\"NormalTextRun SCXW258410568 BCX0\">e<\/span> <span class=\"NormalTextRun SCXW258410568 BCX0\">the <\/span><span class=\"NormalTextRun SCXW258410568 BCX0\">passenger experience.<\/span> <span class=\"NormalTextRun SCXW258410568 BCX0\">Forecast<\/span><span class=\"NormalTextRun SCXW258410568 BCX0\">ing t<\/span><span class=\"NormalTextRun SCXW258410568 BCX0\">he <\/span><span class=\"NormalTextRun SCXW258410568 BCX0\">passenger<\/span>&nbsp;<span class=\"NormalTextRun SCXW258410568 BCX0\">demand<\/span> <span class=\"NormalTextRun SCXW258410568 BCX0\">throughout the day <\/span><span class=\"NormalTextRun SCXW258410568 BCX0\">provides<\/span><span class=\"NormalTextRun SCXW258410568 BCX0\"> updated<\/span> <span class=\"NormalTextRun SCXW258410568 BCX0\"><a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Forecasting&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;TextRun SCXW33429170 BCX0&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW33429170 BCX0&amp;quot;&amp;gt;Predictive analytics technique that takes data and predicts the future value for the data by factoring in a variety of inputs and identifying trends.&amp;lt;\/span&amp;gt;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/forecasting\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>forecasting<\/a> <\/span><span class=\"NormalTextRun SCXW258410568 BCX0\">models<\/span> <span class=\"NormalTextRun SCXW258410568 BCX0\">to <\/span><span class=\"NormalTextRun SCXW258410568 BCX0\">optimize<\/span> <span class=\"NormalTextRun SCXW258410568 BCX0\">staff <\/span><span class=\"NormalTextRun SCXW258410568 BCX0\">scheduling<\/span> <span class=\"NormalTextRun SCXW258410568 BCX0\">and<\/span><span class=\"NormalTextRun SCXW258410568 BCX0\"> reduce wait times at <\/span><span class=\"NormalTextRun SCXW258410568 BCX0\">security<\/span><span class=\"NormalTextRun SCXW258410568 BCX0\"> areas<\/span><span class=\"NormalTextRun SCXW258410568 BCX0\">.<\/span><span class=\"NormalTextRun SCXW258410568 BCX0\"> A <\/span><span class=\"NormalTextRun SCXW258410568 BCX0\">key focus for the future is to have model outputs consumed by business tools seamlessly<\/span><span class=\"NormalTextRun SCXW258410568 BCX0\"> as part of the <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> workflow.<\/span> <span class=\"NormalTextRun SCXW258410568 BCX0\">At DAA, data <a class=\"glossaryLink\"  aria-describedby=\"tt\"  data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Analytics&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;Statistical and mathematical analysis of data to cluster, segment, score, and predict what scenarios are most likely to happen (&amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;e.g., &amp;lt;\/span&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW232749137 BCX0&amp;quot;&amp;gt;data\/text mining, visualization, cluster analysis, forecasting).&amp;lt;\/span&amp;gt;&lt;\/div&gt;\"  href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/analytics\/\"  data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex='0' role='link'>analytics<\/a> <\/span><span class=\"NormalTextRun SCXW258410568 BCX0\">is <\/span><span class=\"NormalTextRun SCXW258410568 BCX0\">viewed as <\/span><span class=\"NormalTextRun SCXW258410568 BCX0\">a flexible, dynamic process, where experimentation, innovation, <\/span><span class=\"NormalTextRun SCXW258410568 BCX0\">and <\/span><span class=\"NormalTextRun SCXW258410568 BCX0\">creativity are encouraged.<\/span><\/span><span class=\"EOP SCXW258410568 BCX0\" data-ccp-props='{\"134233279\":true,\"201341983\":0,\"335559685\":158,\"335559739\":0,\"335559740\":240}'>&nbsp;<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Dublin Airport Optimizing Staff Rostering with <a class=\"glossaryLink\" aria-describedby=\"tt\" data-cmtooltip=\"&lt;div class=glossaryItemTitle&gt;Prediction Models&lt;\/div&gt;&lt;div class=glossaryItemBody&gt;&amp;lt;span class=&amp;quot;TextRun SCXW261411142 BCX0&amp;quot; lang=&amp;quot;EN-US&amp;quot; xml:lang=&amp;quot;EN-US&amp;quot; data-contrast=&amp;quot;auto&amp;quot;&amp;gt;&amp;lt;span class=&amp;quot;NormalTextRun SCXW261411142 BCX0&amp;quot;&amp;gt;Statistical models for predicting target variable outcomes based on a set of independent predictor variables (e.g., linear regression).&amp;lt;\/span&amp;gt;&amp;lt;\/span&amp;gt;&lt;\/div&gt;\" href=\"https:\/\/crp.trb.org\/acrpwebresource18\/glossary\/prediction-models\/\" data-gt-translate-attributes='[{\"attribute\":\"data-cmtooltip\", \"format\":\"html\"}]' tabindex=\"0\" role=\"link\">Prediction Models<\/a> Dublin Airport (DUB) is state-owned and operated by DAA (formerly Dublin Airport Authority). In 2022, Dublin Airport&nbsp;served 28 million passengers, surpassing expectations for international travel compared to pre-pandemic levels (231% increase over 2021; 85% recovery of 2019 levels), and working with over 43 airline partners, Dublin Airport &hellip; <a href=\"https:\/\/crp.trb.org\/acrpwebresource18\/dublin-airport-daa\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &ldquo;Dublin Airport (DAA)&rdquo;<\/span><\/a><\/p>\n","protected":false},"author":95,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"categories":[],"tags":[],"class_list":["post-1392","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/crp.trb.org\/acrpwebresource18\/wp-json\/wp\/v2\/pages\/1392","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/crp.trb.org\/acrpwebresource18\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/crp.trb.org\/acrpwebresource18\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/crp.trb.org\/acrpwebresource18\/wp-json\/wp\/v2\/users\/95"}],"replies":[{"embeddable":true,"href":"https:\/\/crp.trb.org\/acrpwebresource18\/wp-json\/wp\/v2\/comments?post=1392"}],"version-history":[{"count":10,"href":"https:\/\/crp.trb.org\/acrpwebresource18\/wp-json\/wp\/v2\/pages\/1392\/revisions"}],"predecessor-version":[{"id":1620,"href":"https:\/\/crp.trb.org\/acrpwebresource18\/wp-json\/wp\/v2\/pages\/1392\/revisions\/1620"}],"wp:attachment":[{"href":"https:\/\/crp.trb.org\/acrpwebresource18\/wp-json\/wp\/v2\/media?parent=1392"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/crp.trb.org\/acrpwebresource18\/wp-json\/wp\/v2\/categories?post=1392"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/crp.trb.org\/acrpwebresource18\/wp-json\/wp\/v2\/tags?post=1392"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}