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With the growing variety of traffic information sources, efficiently processing textual data from news report and social media and delivering GIS\/LBS services remains challenging due to delayed information retrieval, imprecise geographic localization, and insufficient integration between textual and spatial information in existing methods. To address these limitations, this study proposes RoadEventGPT, a framework for the automatic extraction and geospatial localization of road events. By integrating large language models (LLMs) with geospatial tools via prompt engineering and few\u2010shot learning, RoadEventGPT enables complex geospatial reasoning and tool invocation, forming an end\u2010to\u2010end pipeline that converts unstructured text into structured, georeferenced road event data. The framework decomposes the task into text preprocessing, event extraction, and geolocation. Experimental results demonstrate that RoadEventGPT significantly outperforms traditional rule\u2010based methods, with high F1\u2010scores for geographic entity recognition and spatial scene classification. It also exhibits strong robustness and adaptability across diverse road\u2010related spatial scenarios, enabling effective handling of different types of spatial contexts in road event analysis.<\/jats:p>","DOI":"10.1111\/tgis.70343","type":"journal-article","created":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T09:09:48Z","timestamp":1783588188000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["<scp>RoadEventGPT<\/scp>\n                    : A Data\u2010Driven Autonomous Framework for Detection and Geo\u2010Visualization of Urban Road Event Using Natural Chinese Text Data"],"prefix":"10.1111","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-0995-610X","authenticated-orcid":false,"given":"Yushan","family":"He","sequence":"first","affiliation":[{"name":"College of Surveying and Geo\u2010Informatics Tongji University  Shanghai China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chenyu","family":"Hu","sequence":"additional","affiliation":[{"name":"Urban Mobility Institute Tongji University  Shanghai China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hangbin","family":"Wu","sequence":"additional","affiliation":[{"name":"College of Surveying and Geo\u2010Informatics Tongji University  Shanghai China"},{"name":"Urban Mobility Institute Tongji University  Shanghai China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8324-8877","authenticated-orcid":false,"given":"Wei","family":"Huang","sequence":"additional","affiliation":[{"name":"College of Surveying and Geo\u2010Informatics Tongji University  Shanghai China"},{"name":"Urban Mobility Institute Tongji University  Shanghai China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chun","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Surveying and Geo\u2010Informatics Tongji University  Shanghai China"},{"name":"Urban Mobility Institute Tongji University  Shanghai China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,7,9]]},"reference":[{"key":"e_1_2_10_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/2717317"},{"key":"e_1_2_10_3_1","unstructured":"Bai J. 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