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At present, evaluation of the spatial distribution of urban emergency shelters is mainly carried out on three aspects: effectiveness, accessibility, and safety. However, there are problems, such as individual evaluation scales and incomplete indicator systems, unreasonable allocation of indicator weights, and ignoring the influence of fuzzy incompatibility between different indicator attributes on the evaluation results. In this paper, we start from two scales, the individual emergency shelter and the regional groups of emergency shelters. Based on the five criteria of effectiveness, accessibility, safety, suitability, and fairness, the evaluation indicator system of the spatial distribution of urban emergency shelters was constructed. It was combined with AHP, CRITIC, the optimal weight coefficient solution method based on the maximum deviation sum of squares theory, and fuzzy optimization theory to construct a multi-indicator evaluation model. Further, the spatial distribution condition of the existing emergency shelter in Shanghai was evaluated. The results show that: among the existing ninety-one emergency shelters in Shanghai, there are nine places with unreasonable spatial distribution; nineteen places are comparatively unreasonable. From the scale of regional groups, there is one district (Pudong New District) with unreasonable spatial distribution: its relative superiority value is far lower than other districts, and there are three districts that are comparatively unreasonable. Further, the evaluation scores of the spatial distribution reasonableness of emergency shelters in each region of Shanghai show a high\u2013low\u2013middle distribution from the downtown area of Shanghai outward. The evaluation indicator system and evaluation method used in this paper can effectively reflect the deficiencies in the spatial distribution of urban emergency shelters, thus providing a reference for the relevant departments to improve and plan emergency shelters.<\/jats:p>","DOI":"10.3390\/rs14184649","type":"journal-article","created":{"date-parts":[[2022,9,19]],"date-time":"2022-09-19T04:49:22Z","timestamp":1663562962000},"page":"4649","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["A Multi-Indicator Evaluation Method for Spatial Distribution of Urban Emergency Shelters"],"prefix":"10.3390","volume":"14","author":[{"given":"Xinxiang","family":"Wang","sequence":"first","affiliation":[{"name":"Institute of Applied Artificial Intelligence of the Guangdong-Hong Kong-Macao Greater Bay Area, Shenzhen Polytechnic, Shenzhen 518055, China"},{"name":"Guangzhou Salvage Bureau, Guangzhou 510260, China"},{"name":"School of Marine Technology and Geomatics, Jiangsu Ocean University, Lianyungang 222005, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8710-1730","authenticated-orcid":false,"given":"Minglei","family":"Guan","sequence":"additional","affiliation":[{"name":"Institute of Applied Artificial Intelligence of the Guangdong-Hong Kong-Macao Greater Bay Area, Shenzhen Polytechnic, Shenzhen 518055, China"},{"name":"Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen 518107, China"}]},{"given":"Chunlai","family":"Dong","sequence":"additional","affiliation":[{"name":"School of Marine Technology and Geomatics, Jiangsu Ocean University, Lianyungang 222005, China"}]},{"given":"Jingzhe","family":"Wang","sequence":"additional","affiliation":[{"name":"Institute of Applied Artificial Intelligence of the Guangdong-Hong Kong-Macao Greater Bay Area, Shenzhen Polytechnic, Shenzhen 518055, China"},{"name":"Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen 518107, China"}]},{"given":"Yong","family":"Fan","sequence":"additional","affiliation":[{"name":"Institute of Applied Artificial Intelligence of the Guangdong-Hong Kong-Macao Greater Bay Area, Shenzhen Polytechnic, Shenzhen 518055, China"},{"name":"Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen 518107, China"}]},{"given":"Fei","family":"Xin","sequence":"additional","affiliation":[{"name":"School of Marine Technology and Geomatics, Jiangsu Ocean University, Lianyungang 222005, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4845-6632","authenticated-orcid":false,"given":"Guoyun","family":"Lian","sequence":"additional","affiliation":[{"name":"Institute of Applied Artificial Intelligence of the Guangdong-Hong Kong-Macao Greater Bay Area, Shenzhen Polytechnic, Shenzhen 518055, China"},{"name":"Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen 518107, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,9,17]]},"reference":[{"key":"ref_1","unstructured":"Committee, C.N.S.A. 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