{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,19]],"date-time":"2025-11-19T15:29:01Z","timestamp":1763566141522,"version":"3.45.0"},"reference-count":24,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2025,11,19]],"date-time":"2025-11-19T00:00:00Z","timestamp":1763510400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100007569","name":"Carl Zeiss Foundation","doi-asserted-by":"publisher","award":["P2021-02-014"],"award-info":[{"award-number":["P2021-02-014"]}],"id":[{"id":"10.13039\/100007569","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>As road users and means of transport in Germany become more diverse, we must better understand the causes and influencing factors of serious crashes. The aim of this work is to develop an AI-supported analysis approach that identifies and clearly visualizes the causes of crashes and their impact on crash severity in the urban area of the city of Mainz. The machine learning models predict crash severity and use Shapley values as explainability methods to make the underlying patterns understandable for urban planners, safety personnel, and other stakeholders. A particular challenge lies in presenting these complex relationships in a user-friendly way through visualizations and interactive maps.<\/jats:p>","DOI":"10.3390\/ijgi14110454","type":"journal-article","created":{"date-parts":[[2025,11,19]],"date-time":"2025-11-19T15:03:15Z","timestamp":1763564595000},"page":"454","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Analysis of Semi-Global Factors Influencing the Prediction of Crash Severity"],"prefix":"10.3390","volume":"14","author":[{"given":"Johannes","family":"Frank","sequence":"first","affiliation":[{"name":"Department of Applied Informatics an Geodesy, Mainz University of Applied Sciences, 55128 Mainz, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7302-5431","authenticated-orcid":false,"given":"C\u00e9dric","family":"Roussel","sequence":"additional","affiliation":[{"name":"i3mainz\u2014Institute for Spatial Information and Surveying Technology, Mainz University of Applied Sciences, 55128 Mainz, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-8492-7650","authenticated-orcid":false,"given":"Klaus","family":"B\u00f6hm","sequence":"additional","affiliation":[{"name":"i3mainz\u2014Institute for Spatial Information and Surveying Technology, Mainz University of Applied Sciences, 55128 Mainz, Germany"}]}],"member":"1968","published-online":{"date-parts":[[2025,11,19]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"291","DOI":"10.1016\/j.tra.2010.02.001","article-title":"The statistical analysis of crash-frequency data: A review and assessment of methodological alternatives","volume":"44","author":"Lord","year":"2010","journal-title":"Transp. 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