Vulnerability Assessment of Multi-Level Road Networks Considering the Impact of Traffic Demand

Previous studies mainly analyzed the vulnerability of road networks based on network topology and ignored the impact of traffic demand, resulting in deviations between the results and engineering practice. Moreover, the traditional topology analysis does not accurately describe the transfer of traffic volume on different levels of roads. To build these gaps, this study develops a vulnerability assessment model considering the traffic demand. Specifically, a fundamental analysis model considering the toll characteristics of expressways is established to describe the cost on different road layers precisely and enable accurate traffic assignment. By utilizing the normalized value of the sum of incoming and outgoing traffic volumes at nodes as the node weight, the vulnerability assessment is improved for a high-quality assessment. Finally, the case results show that the proposed model is effective and more sensitive. The results of road segments on performance loss also provide useful suggestions for road disaster prevention.

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Publication Details

Published
2024-12-11
DOI
https://doi.org/10.1061/9780784485484.262
Citations
2
Primary Topic
Infrastructure Resilience and Vulnerability Analysis
Type
article
Field-Weighted Citation Impact
0.52
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article

Vulnerability Assessment of Multi-Level Road Networks Considering the Impact of Traffic Demand

Lin Zhang, Huiying Wen, Yichen Ye
2 citations
Infrastructure Resilience and Vulnerability Analysis
0.52
article

Vulnerability Assessment of Multi-Level Road Networks Considering the Impact of Traffic Demand

Lin Zhang, Huiying Wen, Yichen Ye
article en
2 citations

Abstract

Previous studies mainly analyzed the vulnerability of road networks based on network topology and ignored the impact of traffic demand, resulting in deviations between the results and engineering practice. Moreover, the traditional topology analysis does not accurately describe the transfer of traffic volume on different levels of roads. To build these gaps, this study develops a vulnerability assessment model considering the traffic demand. Specifically, a fundamental analysis model considering the toll characteristics of expressways is established to describe the cost on different road layers precisely and enable accurate traffic assignment. By utilizing the normalized value of the sum of incoming and outgoing traffic volumes at nodes as the node weight, the vulnerability assessment is improved for a high-quality assessment. Finally, the case results show that the proposed model is effective and more sensitive. The results of road segments on performance loss also provide useful suggestions for road disaster prevention.

South China University of Technology (CN)
Sustainable cities and communities
Openalex Percentile: Top 34%
Infrastructure Resilience and Vulnerability Analysis
0.52
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Vulnerability Assessment of Multi-Level Road Networks Considering the Impact of Traffic Demand — Lin Zhang, Huiying Wen, et al. · (2024) | TGRS Research Map | TGRS