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Urban Road Collapse Disaster Hotspot Analysis in Zhengzhou, China: A Novel Adaptive Bandwidth Spatiotemporal Kernel Density Estimation Method

dc.contributor.authorJiao, Longxiao
dc.contributor.authorZhao, Xiujun
dc.contributor.authorAn, Liming
dc.contributor.authorSong, Kai
dc.contributor.authorJie, Changlu
dc.contributor.authorZhao, Fengsong
dc.contributor.authorZhao, Shuai
dc.contributor.authorYuan, Hongjie
dc.date.accessioned2026-08-20T11:59:36Z
dc.date.available2026-08-20T11:59:36Z
dc.date.copyright2026/05/17
dc.date.issued2026
dc.identifier.otherJPCFEV.CFENG-5213.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4312946
dc.description.abstractAbstractOver the past decade Zhengzhou has been heavily affected by road collapse disasters, and the situation worsened after the extreme rainstorm on July 20, 2021. This context calls for risk assessment methods that delineate disaster hotspots and ...
dc.publisherAmerican Society of Civil Engineers
dc.titleUrban Road Collapse Disaster Hotspot Analysis in Zhengzhou, China: A Novel Adaptive Bandwidth Spatiotemporal Kernel Density Estimation Method
dc.typeJournal Article
dc.journal.volume40
dc.journal.issue4
dc.journal.titleJournal of Performance of Constructed Facilities
dc.identifier.doi10.1061/JPCFEV.CFENG-5213
dc.journal.fristpage04026020-1
dc.journal.lastpage04026020-16
dc.page16
dc.treeJournal of Performance of Constructed Facilities:;2026:;Volume ( 040 ):;issue: 004
dc.contenttypeFulltext


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