Resilience analysis in road traffic systems to rainfall events: Road environment perspective

被引：16
|
作者：
Gao, Wei [1 ]
Hu, Xiaowei [1 ]
Wang, Naihui [1 ,2 ]
机构：
[1] Harbin Inst Technol, Sch Transportat Sci & Engn, Harbin, Peoples R China
[2] Northeast Agr Univ, Coll Engn, Harbin, Peoples R China
来源：
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT | 2024年 / 126卷
基金：
中国国家自然科学基金;
关键词：
System resilience; Rainfall events; Road environment; Probabilistic model; Link reliability; Clustering; TRANSPORTATION SYSTEMS; NETWORK; DENSITY; PATTERN; RISK;
D O I：
10.1016/j.trd.2023.104000
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
The road traffic system is frequently disrupted by rainfall events, significantly impacting road system efficiency. It is challenging to capture the resilience of road traffic systems due to variations in road environments. We develop a method for measuring road segment and traffic system resilience using probabilistic modeling techniques. Hierarchical clustering is used to analyze the heterogeneity of resilience patterns from road environment perspectives. A decision support tool is developed to visualize resilience propagation among road segments and communities. Based on a case study in Harbin, China, we identify four typical traffic system resilience patterns considering the influence of land use. Results reveal that system resilience decreases by 6.7% for every 10mm increase in rainfall intensity when the rainfall intensity is below 50mm. Road segments over 1000 m exhibit an average resilience increase of 13.3% compared to those shorter than 1000 m. Additionally, 66% of low-resilience road segments are concentrated near commercial areas
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页数：20
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