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DCフィールド | 値 | 言語 |
---|---|---|
dc.contributor.author | Yang, Yongsheng | en |
dc.contributor.author | Liu, Huan | en |
dc.contributor.author | Zhong, Shaobo | en |
dc.contributor.author | Liu, Kai | en |
dc.contributor.author | Wang, Ming | en |
dc.contributor.author | Huang, Quanyi | en |
dc.date.accessioned | 2023-09-01T02:24:47Z | - |
dc.date.available | 2023-09-01T02:24:47Z | - |
dc.date.issued | 2023-10 | - |
dc.identifier.uri | http://hdl.handle.net/2433/284887 | - |
dc.description.abstract | Infrastructure disruptions can severely affect societal well-being. Quantifying the societal impacts of infrastructure disruptions and identifying appropriate countermeasures to mitigate them are critical for decision-makers. In this regard, this study measured the societal impact by considering people's achievement/intolerance of survival-related activities and proposed an agent-based societal impact simulation model (ABSISM) for quantitative estimation of the impact. The ABSISM incorporated dynamic interactions between households’ emergency behaviors, infrastructure disruption, and government countermeasures in typhoon disaster scenarios and designed decision rules for three types of agents: household, store, and shelter agents. Specifically, household agents acquire life-supporting resources (food and water) from store and/or shelter agents, and prioritize daily activities to perform under restricted resources by minimizing their experienced suffering level; store and shelter agents provide household agents with essential resources during a disaster. Additionally, the government's response measures (infrastructure recovery, forewarning information issuance, and distribution of supplies) were incorporated into the ABSISM as factors directly or indirectly influencing agents’ behaviors. Finally, this study presented an illustrative case study of Osaka to demonstrate the ABSISM's practical applicability and examines the effectiveness of government countermeasures on reducing the societal impact, which could provide insightful information for emergency management and promotion of sustainable cities. | en |
dc.language.iso | eng | - |
dc.publisher | Elsevier BV | en |
dc.rights | © 2023. This manuscript version is made available under the CC-BY-NC-ND 4.0 license. | en |
dc.rights | The full-text file will be made open to the public on 1 October 2025 in accordance with publisher's 'Terms and Conditions for Self-Archiving'. | en |
dc.rights | This is not the published version. Please cite only the published version. この論文は出版社版でありません。引用の際には出版社版をご確認ご利用ください。 | en |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | - |
dc.subject | Societal impact evaluation | en |
dc.subject | infrastructure disruption | en |
dc.subject | countermeasures | en |
dc.subject | disaster | en |
dc.subject | well-being impacts | en |
dc.title | Agent-based societal impact modeling for infrastructure disruption and countermeasures analyses | en |
dc.type | journal article | - |
dc.type.niitype | Journal Article | - |
dc.identifier.jtitle | Sustainable Cities and Society | en |
dc.identifier.volume | 97 | - |
dc.relation.doi | 10.1016/j.scs.2023.104737 | - |
dc.textversion | author | - |
dc.identifier.artnum | 104737 | - |
dcterms.accessRights | embargoed access | - |
datacite.date.available | 2025-10-01 | - |
dc.identifier.pissn | 2210-6707 | - |
dc.identifier.eissn | 2210-6715 | - |
出現コレクション: | 学術雑誌掲載論文等 |
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