Performance of transportation network under perturbations: Reliability, vulnerability, and resilience

被引:212
作者
Gu, Yu [1 ,3 ]
Fu, Xiao [1 ]
Liu, Zhiyuan [1 ]
Xu, Xiangdong [2 ]
Chen, Anthony [3 ]
机构
[1] Southeast Univ, Sch Transportat, Jiangsu Key Lab Urban ITS, Jiangsu Prov Collaborat Innovat Ctr Modem Urban T, Nanjing, Peoples R China
[2] Tongji Univ, Coll Transportat Engn, Shanghai, Peoples R China
[3] Hong Kong Polytech Univ, Dept Civil & Environm Engn, Hong Kong, Peoples R China
关键词
Urban transportation networks; Perturbations; Reliability; Vulnerability; Resilience; TRAVEL-TIME RELIABILITY; CAPACITY RELIABILITY; ROAD NETWORK; MODEL; RISK; ACCESSIBILITY; SYSTEMS; IDENTIFICATION; DEFINITIONS; STABILITY;
D O I
10.1016/j.tre.2019.11.003
中图分类号
F [经济];
学科分类号
02 ;
摘要
We review recent studies on transportation network performance under perturbations. Three representative concepts relating to network performance are covered: reliability, vulnerability, and resilience. With an overview of the definitions and the quantitative indices of these three concepts, we analyse and compare their similarities and differences in the context of transportation. These concepts differ from each other in terms of focus, measurement, and application scenario. Numerical examples are conducted to assess these concepts under different perturbation scenarios. The results indicate their rationale in reflecting network performance under perturbations, yet their outputs differ. Moreover, the relationship among the three concepts is intuitively illustrated by the analysis results.
引用
收藏
页数:16
相关论文
共 100 条
[51]   Percolation transition in dynamical traffic network with evolving critical bottlenecks [J].
Li, Daqing ;
Fu, Bowen ;
Wang, Yunpeng ;
Lu, Guangquan ;
Berezin, Yehiel ;
Stanley, H. Eugene ;
Havlin, Shlomo .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2015, 112 (03) :669-672
[52]   Dynamic modelling of traffic incident impacts on network reliability [J].
Li, Xingang ;
Lam, William H. K. ;
Shao, Hu ;
Gao, Ziyou .
TRANSPORTMETRICA A-TRANSPORT SCIENCE, 2015, 11 (09) :856-872
[53]   Willingness to pay for travel time reliability in passenger transport: A review and some new empirical evidence [J].
Li, Zheng ;
Hensher, David A. ;
Rose, John M. .
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2010, 46 (03) :384-403
[54]   Reliability evaluation for stochastic and time-dependent networks with multiple parking facilities [J].
Li, Zhi-Chun ;
Lam, William H. K. ;
Wong, S. C. ;
Huang, Hai-Jun ;
Zhu, Dao-Li .
NETWORKS & SPATIAL ECONOMICS, 2008, 8 (04) :355-381
[55]   Network Vulnerability Analysis of Rail Transit Plans in Beijng-Tianjin-Hebei Region Considering Connectivity Reliability [J].
Liu, Jing ;
Lu, Huapu ;
Ma, He ;
Liu, Wenzhi .
SUSTAINABILITY, 2017, 9 (08)
[56]   A tailored machine learning approach for urban transport network flow estimation [J].
Liu, Zhiyuan ;
Liu, Yang ;
Meng, Qiang ;
Cheng, Qixiu .
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2019, 108 :130-150
[57]   Remote park-and-ride network equilibrium model and its applications [J].
Liu, Zhiyuan ;
Chen, Xinyuan ;
Meng, Qiang ;
Kim, Inhi .
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2018, 117 :37-62
[58]   Degradable transport network: Travel time budget of travelers with heterogeneous risk aversion [J].
Lo, Hong K. ;
Luo, X. W. ;
Siu, Barbara W. Y. .
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2006, 40 (09) :792-806
[59]  
Lomax T., 2003, TTI20033
[60]   Large-scale road network vulnerability analysis: a sensitivity analysis based approach [J].
Luathep, Paramet ;
Sumalee, Agachai ;
Ho, H. W. ;
Kurauchi, Fumitaka .
TRANSPORTATION, 2011, 38 (05) :799-817