A Novel Vulnerability Index and Approach for Improving Road Network Vulnerability

Loading...

Date

2025

Journal Title

Journal ISSN

Volume Title

Publisher

Canadian Science Publishing

Open Access Color

OpenAIRE Downloads

OpenAIRE Views

relationships.isProjectOf

relationships.isJournalIssueOf

Abstract

A transportation network’s recovery depends on its vulnerability to disaster impacts and functionality restoration. This study proposes two novel indexes for comprehensively measuring the vulnerability of road networks: link vulnerability measurement and node vulnerability measurement. Analyses were conducted on a hypothetical road network using dynamic assignment in the PTV VISSIM microsimulation environment, and the network vulnerabilities were calculated using the proposed methods. The results were compared with those found in the literature. Additionally, a method was proposed to reduce the vulnerability of the road network, and the proposed approach was compared with the current situation. The results showed 13.09% and 14.83% improvements in the average link vulnerability and node vulnerability values, respectively. In terms of achieving a more balanced distribution of vulnerability across the system, improvements of 5.68% and 41.35% were observed in the standard deviations of the link vulnerability and node vulnerability values, respectively. © 2025 Elsevier B.V., All rights reserved.

Description

Keywords

Microsimulation, Natural Disaster, Resilience, Road Network Protection, Vulnerability, Computer System Recovery, Motor Transportation, Network Security, Roads And Streets, Microsimulation, Natural Disasters, Network Protection, Network Vulnerability, Resilience, Road Network, Road Network Protection, Vulnerability, Vulnerability Index, Vulnerability Measurement, Disasters, Disaster Management, Natural Disaster, Transportation System, Vulnerability

Fields of Science

Citation

WoS Q

Q3

Scopus Q

Q2
OpenCitations Logo
OpenCitations Citation Count
N/A

Source

Canadian Journal of Civil Engineering

Volume

52

Issue

9

Start Page

1796

End Page

1811
PlumX Metrics
Citations

Scopus : 2

Captures

Mendeley Readers : 4

Google Scholar Logo
Google Scholar™
OpenAlex Logo
OpenAlex FWCI
3.82647502

Sustainable Development Goals