Spatial accessibility analysis and location optimization of emergency shelters in Deyang
AbstractThe selection and planning of the location of emergency shelters have a crucial impact on the safety of residents and cities. In this paper, based on multivariate open geographic data, the Gaussian two-step floating catchment area method, K-means clustering, and particle swarm optimization a...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2023-12-01
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| Series: | Geomatics, Natural Hazards & Risk |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/19475705.2023.2213809 |
| _version_ | 1827582553958121472 |
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| author | Zuopei Zhang Yunfeng Hu Wei Lu Wei Cao Xing Gao |
| author_facet | Zuopei Zhang Yunfeng Hu Wei Lu Wei Cao Xing Gao |
| author_sort | Zuopei Zhang |
| collection | DOAJ |
| description | AbstractThe selection and planning of the location of emergency shelters have a crucial impact on the safety of residents and cities. In this paper, based on multivariate open geographic data, the Gaussian two-step floating catchment area method, K-means clustering, and particle swarm optimization algorithm methods are utilized to carry out a spatial accessibility analysis and location optimization of emergency shelters in Deyang City, Sichuan Province, China. The study shows that: (1) Deyang City’s emergency shelters are higher than the government’s relevant standard requirements in terms of major indicators such as single building area, total area and per capita shelter area. (2) The spatial distribution of emergency shelters in the study area is uneven and unreasonable, with accessibility from the urban center outwards, exhibiting a “high-low” distribution pattern. (3) The study suggests that 10 new emergency shelters can reduce the number of accessible blind areas by 43.31%. The study recommends that the assessment and construction of emergency shelter facilities in rural areas in China and globally should be emphasized. Reliable recommendations for improvement of emergency shelter planning in Deyang city are provided in the study results. |
| first_indexed | 2024-03-08T22:52:21Z |
| format | Article |
| id | doaj.art-3b2da406af0349349207d1bc0e07095b |
| institution | Directory Open Access Journal |
| issn | 1947-5705 1947-5713 |
| language | English |
| last_indexed | 2024-03-08T22:52:21Z |
| publishDate | 2023-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Geomatics, Natural Hazards & Risk |
| spelling | doaj.art-3b2da406af0349349207d1bc0e07095b2023-12-16T08:49:46ZengTaylor & Francis GroupGeomatics, Natural Hazards & Risk1947-57051947-57132023-12-0114110.1080/19475705.2023.2213809Spatial accessibility analysis and location optimization of emergency shelters in DeyangZuopei Zhang0Yunfeng Hu1Wei Lu2Wei Cao3Xing Gao4State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, ChinaState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, ChinaState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, ChinaState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, ChinaState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, ChinaAbstractThe selection and planning of the location of emergency shelters have a crucial impact on the safety of residents and cities. In this paper, based on multivariate open geographic data, the Gaussian two-step floating catchment area method, K-means clustering, and particle swarm optimization algorithm methods are utilized to carry out a spatial accessibility analysis and location optimization of emergency shelters in Deyang City, Sichuan Province, China. The study shows that: (1) Deyang City’s emergency shelters are higher than the government’s relevant standard requirements in terms of major indicators such as single building area, total area and per capita shelter area. (2) The spatial distribution of emergency shelters in the study area is uneven and unreasonable, with accessibility from the urban center outwards, exhibiting a “high-low” distribution pattern. (3) The study suggests that 10 new emergency shelters can reduce the number of accessible blind areas by 43.31%. The study recommends that the assessment and construction of emergency shelter facilities in rural areas in China and globally should be emphasized. Reliable recommendations for improvement of emergency shelter planning in Deyang city are provided in the study results.https://www.tandfonline.com/doi/10.1080/19475705.2023.2213809Spatial accessibilityGaussian two-step floating catchment area methodK-means clusteringparticle swarm optimization algorithmlocation optimization |
| spellingShingle | Zuopei Zhang Yunfeng Hu Wei Lu Wei Cao Xing Gao Spatial accessibility analysis and location optimization of emergency shelters in Deyang Geomatics, Natural Hazards & Risk Spatial accessibility Gaussian two-step floating catchment area method K-means clustering particle swarm optimization algorithm location optimization |
| title | Spatial accessibility analysis and location optimization of emergency shelters in Deyang |
| title_full | Spatial accessibility analysis and location optimization of emergency shelters in Deyang |
| title_fullStr | Spatial accessibility analysis and location optimization of emergency shelters in Deyang |
| title_full_unstemmed | Spatial accessibility analysis and location optimization of emergency shelters in Deyang |
| title_short | Spatial accessibility analysis and location optimization of emergency shelters in Deyang |
| title_sort | spatial accessibility analysis and location optimization of emergency shelters in deyang |
| topic | Spatial accessibility Gaussian two-step floating catchment area method K-means clustering particle swarm optimization algorithm location optimization |
| url | https://www.tandfonline.com/doi/10.1080/19475705.2023.2213809 |
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