A Study on a Framework for Identifying Critical Roads in Urban Road Traffic Networks Based on the Resilience Perspective Against the Background of Sustainable Development
Traffic network resilience refers to the ability of a traffic network to maintain a certain capacity and service level even when disturbed by external factors, as well as its capacity to recover following a disruptive event. This paper integrates traffic simulation with resilience analysis of urban...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-03-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/15/7/3581 |
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| author | Junyin Zhang Zhan Zhang Dongjin Song Ziqi Huang Linjun Lu |
| author_facet | Junyin Zhang Zhan Zhang Dongjin Song Ziqi Huang Linjun Lu |
| author_sort | Junyin Zhang |
| collection | DOAJ |
| description | Traffic network resilience refers to the ability of a traffic network to maintain a certain capacity and service level even when disturbed by external factors, as well as its capacity to recover following a disruptive event. This paper integrates traffic simulation with resilience analysis of urban road traffic networks and proposes a framework for identifying critical roads in urban road traffic networks from a resilience perspective. This framework is both theoretical and applicable to any unanticipated disruptive event. By incorporating four attribute indicators—traffic, topology, urban function, and socio-economic factors—the framework assesses the importance ranking of each road segment in an urban road traffic network both before and after an unanticipated disruptive event. A case study is conducted using a real urban road traffic network in Shanghai. From the perspective of policymakers, corresponding policy recommendations are made to enhance the resilience of urban road traffic networks against unanticipated disruptive events and to mitigate socio-economic losses. |
| format | Article |
| id | doaj-art-51dd5085752e4f8ba9ee0cf34d290f52 |
| institution | DOAJ |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-51dd5085752e4f8ba9ee0cf34d290f522025-08-20T03:08:43ZengMDPI AGApplied Sciences2076-34172025-03-01157358110.3390/app15073581A Study on a Framework for Identifying Critical Roads in Urban Road Traffic Networks Based on the Resilience Perspective Against the Background of Sustainable DevelopmentJunyin Zhang0Zhan Zhang1Dongjin Song2Ziqi Huang3Linjun Lu4School of Economic and Trade, Nanchang Institute of Technology, Nanchang 330044, ChinaSchool of Design, Shanghai Jiao Tong University, Shanghai 200230, ChinaSchool of Design, Shanghai Jiao Tong University, Shanghai 200230, ChinaSchool of Design, Shanghai Jiao Tong University, Shanghai 200230, ChinaSchool of Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200230, ChinaTraffic network resilience refers to the ability of a traffic network to maintain a certain capacity and service level even when disturbed by external factors, as well as its capacity to recover following a disruptive event. This paper integrates traffic simulation with resilience analysis of urban road traffic networks and proposes a framework for identifying critical roads in urban road traffic networks from a resilience perspective. This framework is both theoretical and applicable to any unanticipated disruptive event. By incorporating four attribute indicators—traffic, topology, urban function, and socio-economic factors—the framework assesses the importance ranking of each road segment in an urban road traffic network both before and after an unanticipated disruptive event. A case study is conducted using a real urban road traffic network in Shanghai. From the perspective of policymakers, corresponding policy recommendations are made to enhance the resilience of urban road traffic networks against unanticipated disruptive events and to mitigate socio-economic losses.https://www.mdpi.com/2076-3417/15/7/3581sustainable developmentunanticipated disruptive eventsurban road traffic networkresiliencesocio-economic losstraffic simulation |
| spellingShingle | Junyin Zhang Zhan Zhang Dongjin Song Ziqi Huang Linjun Lu A Study on a Framework for Identifying Critical Roads in Urban Road Traffic Networks Based on the Resilience Perspective Against the Background of Sustainable Development Applied Sciences sustainable development unanticipated disruptive events urban road traffic network resilience socio-economic loss traffic simulation |
| title | A Study on a Framework for Identifying Critical Roads in Urban Road Traffic Networks Based on the Resilience Perspective Against the Background of Sustainable Development |
| title_full | A Study on a Framework for Identifying Critical Roads in Urban Road Traffic Networks Based on the Resilience Perspective Against the Background of Sustainable Development |
| title_fullStr | A Study on a Framework for Identifying Critical Roads in Urban Road Traffic Networks Based on the Resilience Perspective Against the Background of Sustainable Development |
| title_full_unstemmed | A Study on a Framework for Identifying Critical Roads in Urban Road Traffic Networks Based on the Resilience Perspective Against the Background of Sustainable Development |
| title_short | A Study on a Framework for Identifying Critical Roads in Urban Road Traffic Networks Based on the Resilience Perspective Against the Background of Sustainable Development |
| title_sort | study on a framework for identifying critical roads in urban road traffic networks based on the resilience perspective against the background of sustainable development |
| topic | sustainable development unanticipated disruptive events urban road traffic network resilience socio-economic loss traffic simulation |
| url | https://www.mdpi.com/2076-3417/15/7/3581 |
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