标题: Road criticality assessment to improve commutes during floods

作者: Chen, HT (Chen, Huiting); Zhang, HX (Zhang, Hongxin); Jang, SG (Jang, Sung-Gheel); Liu, XY (Liu, Xiaoyan); Xing, LJ (Xing, Lijun); Wu, ZH (Wu, Zihao); Zhang, L (Zhang, Lin); Liu, YL (Liu, Yaolin); Chen, CZ (Chen, Cuizhen)

来源出版物: JOURNAL OF ENVIRONMENTAL MANAGEMENT  卷: 349  文献号: 119592  DOI: 10.1016/j.jenvman.2023.119592  提前访问日期: NOV 2023   出版年: JAN 1 2024  

摘要: Flooding undermines the functionality of road links, leading to commute disruption, such as increased commuting time and immobility. Therefore, identifying the critical roads under different flood scenarios is of great significance for transportation planning to minimize flood risk. Previous studies on the road criticality under pluvial floods have focused on mostly structural characteristics of the roads, lacking the quantification of the flood impact on traffic. We employed an integrated framework coupling pluvial flood modeling with commute simulation to assess the criticality of flooded road links under three scenarios (10, 30, and 50 year floods). The output of the flood modeling was used to reconstruct the road network. The routes of each individual commuter under a business as usual (BAU) scenario and three flood scenarios were obtained from the commute simulation. As the flood return period increased, the distribution of traffic flow became more uneven. The road criticality assessment revealed that greater flood impact on roads was closely related to the proximity of water bodies, low-lying topography, and greater commute demands of the region and provided evidence to prioritize locations for interventions. This study helps understand the resilience of transportation systems during floods, thereby enabling practitioners to design effective strategic plans in terms of emergency response, risk management, and urban planning.

作者关键词: Road criticality; Flood scenarios; Commute simulation; LBS big data

地址: [Chen, Huiting; Zhang, Hongxin; Zhang, Lin; Liu, Yaolin] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

[Liu, Yaolin] Wuhan Univ, Key Lab Geog Informat Syst, Minist Educ, Wuhan 430079, Peoples R China.

[Liu, Yaolin] Wuhan Univ, Collaborat Innovat Ctr Geospatial Informat Technol, Wuhan 430079, Peoples R China.

[Jang, Sung-Gheel] SUNY Stony Brook, Sch Marine & Atmospher Sci, Stony Brook, NY 11794 USA.

[Liu, Xiaoyan] Beijing Normal Univ, Inst Disaster Risk Sci, Fac Geog Sci, Beijing 100875, Peoples R China.

[Xing, Lijun] Hubei Univ, Key Lab Reg Dev & Environm Response, 368 Youyi Rd, Wuhan 430062, Peoples R China.

[Wu, Zihao] China Univ Min & Technol, Sch Publ Policy & Management, Xuzhou 221116, Peoples R China.

[Chen, Cuizhen] Wuhan Inst Water Sci Researching Hubei Prov, Wuhan 430014, Peoples R China.

通讯作者地址: Liu, YL (通讯作者)，Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

Liu, YL (通讯作者)，Wuhan Univ, Key Lab Geog Informat Syst, Minist Educ, Wuhan 430079, Peoples R China.

电子邮件地址: Huiting_Chen@whu.edu.cn; zhx0227@sina.com; sunggheel.jang@stonybrook.edu; liuxiaoyan89@mail.bnu.edu.cn; ljxing2019@hubu.edu.cn; 6247@cumt.edu.cn; lynnzhang@whu.edu.cn; yaolin610@yeah.net; chencuiz@163.com

影响因子：8.7