{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,28]],"date-time":"2026-03-28T12:30:36Z","timestamp":1774701036866,"version":"3.50.1"},"reference-count":39,"publisher":"MDPI AG","issue":"17","license":[{"start":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T00:00:00Z","timestamp":1725580800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Fundamental Research Funds for the Central Universities","award":["2024XJZN01"],"award-info":[{"award-number":["2024XJZN01"]}]},{"name":"Fundamental Research Funds for the Central Universities","award":["2018YFC1508903"],"award-info":[{"award-number":["2018YFC1508903"]}]},{"name":"Fundamental Research Funds for the Central Universities","award":["2024F012"],"award-info":[{"award-number":["2024F012"]}]},{"name":"National Key Research and Development Program of China","award":["2024XJZN01"],"award-info":[{"award-number":["2024XJZN01"]}]},{"name":"National Key Research and Development Program of China","award":["2018YFC1508903"],"award-info":[{"award-number":["2018YFC1508903"]}]},{"name":"National Key Research and Development Program of China","award":["2024F012"],"award-info":[{"award-number":["2024F012"]}]},{"name":"Open Grants of the Joint Open Lab on Meteorological Risk and Insurance","award":["2024XJZN01"],"award-info":[{"award-number":["2024XJZN01"]}]},{"name":"Open Grants of the Joint Open Lab on Meteorological Risk and Insurance","award":["2018YFC1508903"],"award-info":[{"award-number":["2018YFC1508903"]}]},{"name":"Open Grants of the Joint Open Lab on Meteorological Risk and Insurance","award":["2024F012"],"award-info":[{"award-number":["2024F012"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Transportation resilience, as a component of city sustainability, plays a crucial role in the daily management and emergency response of urban road systems. With coastal cities becoming increasingly vulnerable to typhoons, rainstorms, and other disasters, it is essential to assess the resilience of urban road transportation in a refined and differentiated approach. Existing resilience assessment methods often overlook significant biases, neglecting the dynamic response of road traffic and non-stationary characteristics of traffic systems. To address these limitations, we develop a quantitative resilience assessment method for urban road transportation during rainfall that is based on the improved Resilience Triangle. The method is applied to DiDi urban traffic speed and meteorological data of Shenzhen, China, from April to September 2018, with a focus on Typhoon Mangkhut as an extreme weather case. By analyzing transportation resilience variations across road densities, road hierarchies, and rainfall scenarios, we found that road densities and rainfall intensities explain resilience variations better than road hierarchies. Specifically, as accumulative precipitation exceeds 100 mm, a substantial surge in loss of performance is observed. Typhoon rainfalls result in a greater loss in urban road traffic compared to general rainfalls. The results offer valuable insights for urban road planning, traffic emergency management, and transportation resilience construction in the face of increasingly severe weather challenges.<\/jats:p>","DOI":"10.3390\/rs16173311","type":"journal-article","created":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T05:02:28Z","timestamp":1725598948000},"page":"3311","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Resilience Assessment of Urban Road Transportation in Rainfall"],"prefix":"10.3390","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4635-8609","authenticated-orcid":false,"given":"Jiting","family":"Tang","sequence":"first","affiliation":[{"name":"School of National Safety and Emergency Management, Beijing Normal University, Beijing 100875, China"},{"name":"Joint International Research Laboratory of Catastrophe Simulation and Systemic Risk Governance, Beijing Normal University, Zhuhai 519087, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5880-244X","authenticated-orcid":false,"given":"Shengnan","family":"Wu","sequence":"additional","affiliation":[{"name":"Emergency Management Center, Chongqing Academy of Governance, Chongqing 400041, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3390-8264","authenticated-orcid":false,"given":"Saini","family":"Yang","sequence":"additional","affiliation":[{"name":"School of National Safety and Emergency Management, Beijing Normal University, Beijing 100875, China"},{"name":"Joint International Research Laboratory of Catastrophe Simulation and Systemic Risk Governance, Beijing Normal University, Zhuhai 519087, China"}]},{"given":"Yongguo","family":"Shi","sequence":"additional","affiliation":[{"name":"Zhejiang Key Laboratory of Safety Engineering and Technology, Zhejiang Academy of Emergency Management Science, Hangzhou 310061, China"}]}],"member":"1968","published-online":{"date-parts":[[2024,9,6]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"3579","DOI":"10.1038\/s41467-022-31202-w","article-title":"Targeting climate adaptation to safeguard and advance the Sustainable Development Goals","volume":"13","author":"Fuldauer","year":"2022","journal-title":"Nat. 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