Latent sub-structural resilience mechanisms in temporal human mobility networks during urban flooding
Abstract In studying resilience in temporal human networks, relying solely on global network measures would be inadequate; latent sub-structural network mechanisms need to be examined to determine the extent of impact and recovery of these networks during perturbations, such as urban flooding. In th...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-07-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-37965-6 |
| _version_ | 1827905499070201856 |
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| author | Akhil Anil Rajput Ali Mostafavi |
| author_facet | Akhil Anil Rajput Ali Mostafavi |
| author_sort | Akhil Anil Rajput |
| collection | DOAJ |
| description | Abstract In studying resilience in temporal human networks, relying solely on global network measures would be inadequate; latent sub-structural network mechanisms need to be examined to determine the extent of impact and recovery of these networks during perturbations, such as urban flooding. In this study, we utilize high-resolution aggregated location-based data to construct temporal human mobility networks in Houston in the context of the 2017 Hurricane Harvey. We examine motif distribution, motif persistence, temporal stability, and motif attributes to reveal latent sub-structural mechanisms related to the resilience of human mobility networks during disaster-induced perturbations. The results show that urban flood impacts persist in human mobility networks at the sub-structure level for several weeks. The impact extent and recovery duration are heterogeneous across different network types. Also, while perturbation impacts persist at the sub-structure level, global topological network properties indicate that the network has recovered. The findings highlight the importance of examining the microstructures and their dynamic processes and attributes in understanding the resilience of temporal human mobility networks (and other temporal networks). The findings can also provide disaster managers, public officials, and transportation planners with insights to better evaluate impacts and monitor recovery in affected communities. |
| first_indexed | 2024-03-13T00:42:30Z |
| format | Article |
| id | doaj.art-5b929ad6e75d4cee8559ae55a7875472 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-03-13T00:42:30Z |
| publishDate | 2023-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-5b929ad6e75d4cee8559ae55a78754722023-07-09T11:13:28ZengNature PortfolioScientific Reports2045-23222023-07-0113111410.1038/s41598-023-37965-6Latent sub-structural resilience mechanisms in temporal human mobility networks during urban floodingAkhil Anil Rajput0Ali Mostafavi1Zachry Department of Civil Engineering, Texas A&M UniversityZachry Department of Civil Engineering, Texas A&M UniversityAbstract In studying resilience in temporal human networks, relying solely on global network measures would be inadequate; latent sub-structural network mechanisms need to be examined to determine the extent of impact and recovery of these networks during perturbations, such as urban flooding. In this study, we utilize high-resolution aggregated location-based data to construct temporal human mobility networks in Houston in the context of the 2017 Hurricane Harvey. We examine motif distribution, motif persistence, temporal stability, and motif attributes to reveal latent sub-structural mechanisms related to the resilience of human mobility networks during disaster-induced perturbations. The results show that urban flood impacts persist in human mobility networks at the sub-structure level for several weeks. The impact extent and recovery duration are heterogeneous across different network types. Also, while perturbation impacts persist at the sub-structure level, global topological network properties indicate that the network has recovered. The findings highlight the importance of examining the microstructures and their dynamic processes and attributes in understanding the resilience of temporal human mobility networks (and other temporal networks). The findings can also provide disaster managers, public officials, and transportation planners with insights to better evaluate impacts and monitor recovery in affected communities.https://doi.org/10.1038/s41598-023-37965-6 |
| spellingShingle | Akhil Anil Rajput Ali Mostafavi Latent sub-structural resilience mechanisms in temporal human mobility networks during urban flooding Scientific Reports |
| title | Latent sub-structural resilience mechanisms in temporal human mobility networks during urban flooding |
| title_full | Latent sub-structural resilience mechanisms in temporal human mobility networks during urban flooding |
| title_fullStr | Latent sub-structural resilience mechanisms in temporal human mobility networks during urban flooding |
| title_full_unstemmed | Latent sub-structural resilience mechanisms in temporal human mobility networks during urban flooding |
| title_short | Latent sub-structural resilience mechanisms in temporal human mobility networks during urban flooding |
| title_sort | latent sub structural resilience mechanisms in temporal human mobility networks during urban flooding |
| url | https://doi.org/10.1038/s41598-023-37965-6 |
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