Resilience-Oriented Performance Assessment Method for Road-Traffic System: A Case Study in Beijing, China

被引:8
作者
Ni, Xiaoyong [1 ,2 ]
Osaragi, Toshihiro [3 ]
Huang, Hong [1 ,2 ]
Li, Ruiqi [1 ,2 ]
Chen, Anying [1 ,2 ]
机构
[1] Tsinghua Univ, Inst Publ Safety Res, Dept Engn Phys, Beijing 100084, Peoples R China
[2] Tsinghua Univ, Beijing Key Lab City Integrated Emergency Respons, Beijing 100084, Peoples R China
[3] Tokyo Inst Technol, Sch Environm & Soc, Dept Architecture & Bldg Engn, Tokyo 1528550, Japan
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
Urban road-traffic system; Resilience; Performance assessment; Transportation modelling; Traffic assignment model; INFORMATION DISSEMINATION; TRANSPORT NETWORK; DESIGN;
D O I
10.1007/s12205-021-2098-y
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The performance of an urban road-traffic system is affected by many factors, such as the average traffic demand, and the network structure, etc. At the same time, natural disasters, abnormal traffic volume and man-made accidents can result in disturbances which also influence the performance of the system. Resilience of an urban road-traffic system has been an emerging research field. This paper proposes a resilience-oriented performance assessment method based on a traffic flow assignment model to precisely capture the performance of an urban road-traffic system. System functionality is chosen as the key proxy for resilience, which can be calculated based on some index parameters including allocation rate of traffic flow, commuting efficiency on road sections, etc. A case study is implemented in a downtown area in Beijing, China. As to the resilience of the system when faced with huge traffic volume, the results show that the road-traffic system itself has a certain degree of absorption capacity for traffic pressure induced by huge volume. As to the resilience of the system when faced with local network failure, the results show that information dissemination of the network condition and the traffic volume are the key impact factors on system's resilience curves.
引用
收藏
页码:3977 / 3994
页数:18
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