{"id":10084,"date":"2026-01-29T07:02:32","date_gmt":"2026-01-29T07:02:32","guid":{"rendered":"https:\/\/mailitics.com\/index.php\/2026\/01\/29\/modeling-urban-walking-risk-using-spatial-temporal-machine-learning\/"},"modified":"2026-01-29T07:02:32","modified_gmt":"2026-01-29T07:02:32","slug":"modeling-urban-walking-risk-using-spatial-temporal-machine-learning","status":"publish","type":"post","link":"https:\/\/mailitics.com\/index.php\/2026\/01\/29\/modeling-urban-walking-risk-using-spatial-temporal-machine-learning\/","title":{"rendered":"Modeling Urban Walking Risk Using Spatial-Temporal Machine\u00a0Learning"},"content":{"rendered":"<p>    Modeling Urban Walking Risk Using Spatial-Temporal Machine\u00a0Learning<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n    <!-- no image --><br \/>\n \t<BR><br \/>\n<BR><\/BR><\/p>\n<div>\n<p>Estimating neighborhood-level pedestrian risk from real-world incident data<\/p>\n<p>The post <a href=\"https:\/\/towardsdatascience.com\/modeling-urban-walking-risk-using-spatial-temporal-machine-learning\/\">Modeling Urban Walking Risk Using Spatial-Temporal Machine\u00a0Learning<\/a> appeared first on <a href=\"https:\/\/towardsdatascience.com\/\">Towards Data Science<\/a>.<\/p>\n<\/div>\n<p> \t<BR><br \/>\n <BR><\/BR><br \/>\n    Aneesh Patil<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n<a href=\"https:\/\/towardsdatascience.com\/modeling-urban-walking-risk-using-spatial-temporal-machine-learning\/\">Go to original source<\/a><br \/>\n \t<BR><br \/>\n <BR><\/BR><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Modeling Urban Walking Risk Using Spatial-Temporal Machine\u00a0Learning Estimating neighborhood-level pedestrian risk from real-world incident data The post Modeling Urban Walking Risk Using Spatial-Temporal Machine\u00a0Learning appeared first on Towards Data Science. Aneesh Patil Go to original source<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[62,83,82,67,4685,70,238],"tags":[881,204,4686],"class_list":["post-10084","post","type-post","status-publish","format-standard","hentry","category-aimldsaimlds","category-data-science","category-data-visualization","category-deep-dives","category-geospatial-analysis","category-machine-learning","category-statistics","tag-modeling","tag-risk","tag-urban"],"_links":{"self":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/10084"}],"collection":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/comments?post=10084"}],"version-history":[{"count":0,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/10084\/revisions"}],"wp:attachment":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/media?parent=10084"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/categories?post=10084"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/tags?post=10084"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}