Journal article
An equity-informed decision-making framework utilizing multi-group constrained system optimization: towards large-scale emergency evacuations
Geomatics, natural hazards and risk, v 16(1), 2601822
31 Dec 2025
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Climate change exacerbates geospatial vulnerability, rendering populations more susceptible to environmental disasters. Vulnerable groups face heightened disaster risks, necessitating targeted strategies. This study proposes a multi-group constrained system optimization (MGCSO) framework with equity as its objective, integrating vulnerability assessment with evacuation planning. Firstly, based on online comment analysis, it employs natural language processing (NLP) techniques to extract public perceptions and assess vulnerability disparities among different groups. Subsequently, an enhanced MGCSO algorithm, integrated with GIS, generates customised evacuation plans based on each group's 'tolerance.' To validate the framework's efficacy, a case study was conducted in Yucheng District, Yaan City, China. Compared to conventional methods, this framework significantly improves evacuation efficiency for vulnerable groups, reducing total evacuation time by 23%. This study provides governments with an evidence-based vulnerability assessment methodology and decision support. It not only enhances disaster resilience but also specifically supports the effective assistance of vulnerable groups during flood emergencies.
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Details
- Title
- An equity-informed decision-making framework utilizing multi-group constrained system optimization: towards large-scale emergency evacuations
- Creators
- Yang Liu - Sichuan Agricultural UniversityZhenzhen Li - Sichuan Agricultural UniversityBenjamin Lev - Drexel UniversityLu Gan (Corresponding Author) - Sichuan Agricultural University
- Publication Details
- Geomatics, natural hazards and risk, v 16(1), 2601822
- Publisher
- Taylor & Francis
- Number of pages
- 24
- Grant note
- 72104165 / National Natural Science Foundation of China 2025ZYTS036 / The Disciplinary Construction Dual Support Program of Sichuan Agricultural University SCJJ23ND206 / Sichuan Office of Philosophy and Social Science
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Decision Sciences (and Management Information Systems)
- Web of Science ID
- WOS:001640595100001
- Scopus ID
- 2-s2.0-105026447655
- Other Identifier
- 991022146934504721
UN Sustainable Development Goals (SDGs)
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Geosciences, Multidisciplinary
- Meteorology & Atmospheric Sciences
- Remote Sensing
- Water Resources