Anatomy of perturbed traffic networks during urban flooding
Urban flooding disrupts traffic networks, affecting mobility and disrupting residents’ access. Flooding events are predicted to increase due to climate change; therefore, understanding traffic network’s flood-caused disruption is critical to improving emergency planning and city resilience. This stu...
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Published in | Sustainable cities and society Vol. 97; p. 104693 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
01.10.2023
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Subjects | |
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Abstract | Urban flooding disrupts traffic networks, affecting mobility and disrupting residents’ access. Flooding events are predicted to increase due to climate change; therefore, understanding traffic network’s flood-caused disruption is critical to improving emergency planning and city resilience. This study reveals the anatomy of perturbed traffic networks by leveraging high-resolution traffic network data from a major flood event and advanced high-order network analysis. We evaluate travel times between every pairwise junction in the city and assess higher-order network geometry changes in the network to determine flood impacts. The findings show network-wide persistent increased travel times could last for weeks after the flood water has receded, even after modest flood failure. A modest flooding of 1.3% road segments caused 8% temporal expansion of the entire traffic network. The results also show that distant trips would experience a greater percentage increase in travel time. Also, the extent of the increase in travel time does not decay with distance from inundated areas, suggesting that the spatial reach of flood impacts extends beyond flooded areas. The findings of this study provide an important novel understanding of floods’ impacts on the functioning of traffic networks in terms of travel time and traffic network geometry.
•High-order network analysis and reveals anatomy of perturbed traffic networks.•Network-wide persistent travel time increase can last for weeks.•Modest flooding causes significant temporal expansion of network.•Distant trips experience greater percentage increase in travel time.•Flood impacts extend beyond inundated areas. |
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AbstractList | Urban flooding disrupts traffic networks, affecting mobility and disrupting residents’ access. Flooding events are predicted to increase due to climate change; therefore, understanding traffic network’s flood-caused disruption is critical to improving emergency planning and city resilience. This study reveals the anatomy of perturbed traffic networks by leveraging high-resolution traffic network data from a major flood event and advanced high-order network analysis. We evaluate travel times between every pairwise junction in the city and assess higher-order network geometry changes in the network to determine flood impacts. The findings show network-wide persistent increased travel times could last for weeks after the flood water has receded, even after modest flood failure. A modest flooding of 1.3% road segments caused 8% temporal expansion of the entire traffic network. The results also show that distant trips would experience a greater percentage increase in travel time. Also, the extent of the increase in travel time does not decay with distance from inundated areas, suggesting that the spatial reach of flood impacts extends beyond flooded areas. The findings of this study provide an important novel understanding of floods’ impacts on the functioning of traffic networks in terms of travel time and traffic network geometry.
•High-order network analysis and reveals anatomy of perturbed traffic networks.•Network-wide persistent travel time increase can last for weeks.•Modest flooding causes significant temporal expansion of network.•Distant trips experience greater percentage increase in travel time.•Flood impacts extend beyond inundated areas. |
ArticleNumber | 104693 |
Author | Dong, Shangjia Rajput, Akhil Anil Mostafavi, Ali Nayak, Sanjay |
Author_xml | – sequence: 1 givenname: Akhil Anil orcidid: 0000-0001-7207-4920 surname: Rajput fullname: Rajput, Akhil Anil email: akhil.rajput@tamu.edu organization: Zachry Department of Civil and Environmental Engineering, Texas A&M University, College Station, TX 77840, USA – sequence: 2 givenname: Sanjay orcidid: 0000-0002-2843-448X surname: Nayak fullname: Nayak, Sanjay email: sanjaynayak@tamu.edu organization: Department of Computer Science and Engineering, Texas A&M University, College Station, TX 77843, USA – sequence: 3 givenname: Shangjia orcidid: 0000-0003-4280-0500 surname: Dong fullname: Dong, Shangjia email: sjdong@udel.edu organization: Department of Civil and Environmental Engineering, University of Delaware, Newark, DE 19716, USA – sequence: 4 givenname: Ali surname: Mostafavi fullname: Mostafavi, Ali email: amostafavi@civil.tamu.edu organization: Zachry Department of Civil and Environmental Engineering, Texas A&M University, College Station, TX 77840, USA |
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Keywords | Disaster Traffic networks Higher-order networks Complex networks Resilience |
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