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

被引:0
|
作者
Xiaoyong Ni
Toshihiro Osaragi
Hong Huang
Ruiqi Li
Anying Chen
机构
[1] Tsinghua University,Institute of Public Safety Research, Department of Engineering Physics
[2] Tsinghua University,Beijing Key Laboratory of City Integrated Emergency Response Science
[3] Tokyo Institute of Technology,Dept. of Architecture and Building Engineering, School of Environment and Society
来源
关键词
Urban road-traffic system; Resilience; Performance assessment; Transportation modelling; Traffic assignment model;
D O I
暂无
中图分类号
学科分类号
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:17
相关论文
共 50 条
  • [1] Resilience-Oriented Performance Assessment Method for Road-Traffic System: A Case Study in Beijing, China
    Ni, Xiaoyong
    Osaragi, Toshihiro
    Huang, Hong
    Li, Ruiqi
    Chen, Anying
    KSCE JOURNAL OF CIVIL ENGINEERING, 2021, 25 (10) : 3977 - 3994
  • [2] Resilience-oriented safety barrier performance assessment in maritime operational risk management
    Deng, Wanyi
    Ma, Xiaoxue
    Qiao, Weiliang
    TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2025, 139
  • [3] Rapid Modeling Method for Road Traffic Noise Sources: A case study in Beijing
    Zhu, L.
    Li, X.
    Jiang, C.
    Liu, L.
    Wu, R.
    Wang, W.
    Zhang, B.
    NOISE MAPPING, 2015, 2 (01): : 31 - 39
  • [4] Investigation of road-traffic noise and annoyance in Beijing: A cross-sectional study of 4th Ring Road
    Li, Hui-Juan
    Yu, Wen-Bo
    Lu, Jing-Qiao
    Zeng, Lin
    Li, Nan
    Zhao, Yi-Ming
    ARCHIVES OF ENVIRONMENTAL & OCCUPATIONAL HEALTH, 2008, 63 (01) : 27 - 33
  • [5] A structured approach for resilience-oriented human performance assessment and prediction in offshore safety-critical operations
    Peng, Changyi
    Zhen, Xingwei
    Huang, Yi
    OCEAN ENGINEERING, 2023, 287
  • [6] Resilience-Oriented Importance Evaluation Method for Distribution System Components Considering Reconfiguration and Fault Repair
    Yu, Zhenfan
    Wu, Longteng
    Guo, Qian
    Zhang, Di
    Bian, Yiheng
    Li, Gengfeng
    2024 IEEE 2ND INTERNATIONAL CONFERENCE ON POWER SCIENCE AND TECHNOLOGY, ICPST 2024, 2024, : 1234 - 1241
  • [7] A resilience-oriented two-stage recovery method for power distribution system considering transportation network
    Li, Zepeng
    Tang, Wenhu
    Lian, Xianglong
    Chen, Xingyu
    Zhang, Wenhao
    Qian, Tong
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2022, 135
  • [8] Equilibrium between Road Traffic Congestion and Low-Carbon Economy: A Case Study from Beijing, China
    Yang, Shuxia
    Ji, Yu
    Zhang, Di
    Fu, Jing
    SUSTAINABILITY, 2019, 11 (01):
  • [9] A research on urban disaster resilience assessment system for rainstorm and flood disasters: A case study of Beijing
    Yu, Shuangrui
    Li, Ruiqi
    Zhang, Yuxi
    Wang, Mingfei
    Zhang, Peng
    Wu, Aizhi
    Yu, Fucai
    Zhang, Xiaofeng
    Yang, Lin
    Cui, Yong'an
    PLOS ONE, 2023, 18 (10):
  • [10] Evaluating the Impact of Criminalizing Drunk Driving on Road-Traffic Injuries in Guangzhou, China: A Time-Series Study
    Zhao, Ang
    Chen, Renjie
    Qi, Yongqing
    Chen, Ailan
    Chen, Xinyu
    Liang, Zijing
    Ye, Jianjun
    Liang, Qing
    Guo, Duanqiang
    Li, Wanglin
    Li, Shuangming
    Kan, Haidong
    JOURNAL OF EPIDEMIOLOGY, 2016, 26 (08) : 433 - 439