Urban Road Network Emergency: An Integrative Vulnerability Identification Method

The vulnerability of an urban road network is affected by many factors, such as internal road network layout, network structure strength, and external destructive events, which have great uncertainty and complexity. Thus, there is still no unified and definite vulnerability analysis scheme available...

Full description

Bibliographic Details
Main Author: Huaikun Xiang
Format: Article
Language:English
Published: Hindawi-Wiley 2021-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2021/6325578
id doaj-6597866bf29140c9a76384eeaf399b86
record_format Article
spelling doaj-6597866bf29140c9a76384eeaf399b862021-06-21T02:26:12ZengHindawi-WileyComplexity1099-05262021-01-01202110.1155/2021/6325578Urban Road Network Emergency: An Integrative Vulnerability Identification MethodHuaikun Xiang0School of Automotive & Transportation EngineeringThe vulnerability of an urban road network is affected by many factors, such as internal road network layout, network structure strength, and external destructive events, which have great uncertainty and complexity. Thus, there is still no unified and definite vulnerability analysis scheme available to cities. This paper proposes an integrative vulnerability identification method for urban road networks, which mainly relates to the vulnerability connotation and characteristics analysis of urban road networks during emergency, and vulnerability comprehensive evaluation indices design based on urban road network connectivity, traffic efficiency and performance, and an empirical study on a vulnerability identification method of an urban road network. In the empirical case, a real road network and traffic operation data were used from Science and Technology Park of Shenzhen City, China. In the context of one certain emergency scenario, the stated preference survey method and maximum likelihood method are used to solve the road users’ random travel choice behavior parameters; subsequently, based on the traffic equilibrium distribution prediction, the traffic vulnerability identification methods of the road network in this region were verified before and after the emergency. The method presented here not only considers the impact of network topology changes on road network traffic function during emergency but also considers the impact of dynamic changes in road network traffic demand on vulnerability; therefore, it is closer to the actual distribution of urban road network traffic vulnerability.http://dx.doi.org/10.1155/2021/6325578
collection DOAJ
language English
format Article
sources DOAJ
author Huaikun Xiang
spellingShingle Huaikun Xiang
Urban Road Network Emergency: An Integrative Vulnerability Identification Method
Complexity
author_facet Huaikun Xiang
author_sort Huaikun Xiang
title Urban Road Network Emergency: An Integrative Vulnerability Identification Method
title_short Urban Road Network Emergency: An Integrative Vulnerability Identification Method
title_full Urban Road Network Emergency: An Integrative Vulnerability Identification Method
title_fullStr Urban Road Network Emergency: An Integrative Vulnerability Identification Method
title_full_unstemmed Urban Road Network Emergency: An Integrative Vulnerability Identification Method
title_sort urban road network emergency: an integrative vulnerability identification method
publisher Hindawi-Wiley
series Complexity
issn 1099-0526
publishDate 2021-01-01
description The vulnerability of an urban road network is affected by many factors, such as internal road network layout, network structure strength, and external destructive events, which have great uncertainty and complexity. Thus, there is still no unified and definite vulnerability analysis scheme available to cities. This paper proposes an integrative vulnerability identification method for urban road networks, which mainly relates to the vulnerability connotation and characteristics analysis of urban road networks during emergency, and vulnerability comprehensive evaluation indices design based on urban road network connectivity, traffic efficiency and performance, and an empirical study on a vulnerability identification method of an urban road network. In the empirical case, a real road network and traffic operation data were used from Science and Technology Park of Shenzhen City, China. In the context of one certain emergency scenario, the stated preference survey method and maximum likelihood method are used to solve the road users’ random travel choice behavior parameters; subsequently, based on the traffic equilibrium distribution prediction, the traffic vulnerability identification methods of the road network in this region were verified before and after the emergency. The method presented here not only considers the impact of network topology changes on road network traffic function during emergency but also considers the impact of dynamic changes in road network traffic demand on vulnerability; therefore, it is closer to the actual distribution of urban road network traffic vulnerability.
url http://dx.doi.org/10.1155/2021/6325578
work_keys_str_mv AT huaikunxiang urbanroadnetworkemergencyanintegrativevulnerabilityidentificationmethod
_version_ 1721369110730768384