Toward Coastal Infrastructure Resiliency: An AI-Enabled Decision Support Framework for Multiscale Comprehension and Stakeholder Empowerment.
The article focuses on developing an AI-enabled decision support framework aimed at enhancing coastal infrastructure resiliency in response to climate-related risks. Coastal regions, which house a significant portion of the U.S. population, face increasing vulnerabilities due to climate change, nece...
| Publicado en: | Transactions of the American Philosophical Society Vol. 114; no. 1; pp. 65 - 98 |
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| Autores principales: | , , , , , , , , |
| Formato: | Artículo |
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University of Pennsylvania Press
Mar2025
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=185959686&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 185959686 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00659746 2HU jtl: Transactions of the American Philosophical Society issn: 00659746 maglogo: N pubinfo: dt: Mar2025 vid: 114 iid: 1 pid: 4636 pub: University of Pennsylvania Press artinfo: ui: 185959686 10.1353/tap.2025.a957549 ppf: 65 ppct: 33 formats: fmt: @attributes: type: P size: 1.4MB tig: atl: Toward Coastal Infrastructure Resiliency: An AI-Enabled Decision Support Framework for Multiscale Comprehension and Stakeholder Empowerment. aug: au: Xinyue Ye Newman, Galen Wei Zhai Retchless, David Das, Subasish Youngjib Ham Lei Zou Xiao Huang Zhe Zhang su: Climate change Digital twin Emergency management Coastal development Interdisciplinary research Sustainability Decision support systems Stakeholder analysis United States sug: subj: United States Climate change Digital twin Emergency management Coastal development Interdisciplinary research Sustainability Decision support systems Stakeholder analysis ab: The article focuses on developing an AI-enabled decision support framework aimed at enhancing coastal infrastructure resiliency in response to climate-related risks. Coastal regions, which house a significant portion of the U.S. population, face increasing vulnerabilities due to climate change, necessitating a comprehensive approach to resilience that integrates data from physical, cyber, and social infrastructures. The proposed framework utilizes digital twin technology to create a dynamic, interactive model that facilitates real-time data analysis, stakeholder engagement, and scenario testing, ultimately empowering communities to make informed decisions regarding infrastructure planning and disaster response. The research emphasizes the importance of interdisciplinary collaboration and community involvement in addressing the unique challenges faced by coastal areas, with implications that extend beyond these regions to inform resilience strategies globally. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Transactions of the American Philosophical Society is the property of University of Pennsylvania Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Transactions of the American Philosophical Society holder: University of Pennsylvania Press dt: @attributes: year: 2025 holdings: @attributes: islocal: N |
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