Journal article
Orienting people-centred disaster shelter planning based on risk assessing with semi-supervised learning
Heliyon, v 10(16), e35128
Jul 2024
Abstract
Climate-related disasters have been escalating worldwide, incurring major losses. Landslides have become one of the most destructive disasters, especially in China's mountainous areas. To address this, constructing emergency shelters and designing evacuation routes are critical to ensure public safety and minimize impacts on affected residents. This study proposes a novel two-phase, people-centric approach. The first phase applies stakeholder theory and risk economics to develop a landslide hazard assessment model considering vulnerable populations. The model effectively classified 28 landslide points in Bazhou Town, with 35.71% deemed high-risk and low-risk 64.29%, reflecting the model's comprehensive risk differentiation capability. The second phase utilizes public choice theory to construct a bi-level multiple objective programming (BLMOP) model addressing conflicting government and resident goals. The algorithm produced 4 Pareto-optimal shelter plans for each village assessed, results demonstrate the proposed approach generates shelter plans meeting government aims while maximizing resident satisfaction, accounting for local conditions. Grounded in field data and a people-focused lens, this two-stage methodology provides a multiple objective optimization framework balancing stakeholder need. A case study of Bazhou Town validates the method's effectiveness.
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Details
- Title
- Orienting people-centred disaster shelter planning based on risk assessing with semi-supervised learning
- Creators
- Yucheng Zhu - Sichuan Agricultural UniversityLu Gan - Sichuan Agricultural UniversityXianglong Li - Sichuan Agricultural UniversityYufei Zuo - Sichuan Agricultural UniversityJiaxin Liu - Sichuan Agricultural UniversityBenjamin Lev - Drexel University
- Publication Details
- Heliyon, v 10(16), e35128
- Publisher
- Elsevier
- Number of pages
- 28
- Grant note
- National Natural Science Foundation of China: 72104165 Sichuan Philosophy and Social Science Foundation: SCJJ23ND206 Foundation of Sichuan Province Cyclic Economy Research Center: XHJJ-2105 National Innovation and Entrepreneurship training program for college: 202210626006
We gratefully acknowledge the financial backing received for this work from the National Natural Science Foundation of China (NO. 72104165) , the Sichuan Philosophy and Social Science Foundation (NO. SCJJ23ND206) , the Foundation of Sichuan Province Cyclic Economy Research Center (NO. XHJJ-2105) , the National Innovation and Entrepreneurship training program for college stu-dent (NO. 202210626006) .
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Decision Sciences (and Management Information Systems)
- Web of Science ID
- WOS:001292063200001
- Scopus ID
- 2-s2.0-85200635435
- Other Identifier
- 991021896915304721
InCites Highlights
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Operations Research & Management Science