{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T07:15:07Z","timestamp":1773731707306,"version":"3.50.1"},"reference-count":41,"publisher":"Emerald","issue":"1","license":[{"start":{"date-parts":[[2022,10,25]],"date-time":"2022-10-25T00:00:00Z","timestamp":1666656000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["K"],"published-print":{"date-parts":[[2024,1,2]]},"abstract":"Purpose<\/jats:title>In modern urban governance, rescue materials storage points (RMSP) are a vital role to be considered in responding to public emergencies and improving a city's emergency management. This study analyzes the siting of community-centered relief supply facilities.<\/jats:p><\/jats:sec>Design\/methodology\/approach<\/jats:title>Combining grey relational analysis, complex network and relative entropy, a new multi criteria method is proposed. It pays more attention to the needs of the community, taking into account the use of community hospitals, fire centers and neighborhood offices to establish small RMSP.<\/jats:p><\/jats:sec>Findings<\/jats:title>The research results firstly found suitable areas for RMSP site selection, including Hanyang, Qiaokou, Jiangan and Wuchang. The top 10 nodes in each region are found as the location of emergency facilities, and the network parameters are higher than ordinary nodes in traffic networks. The proposed method was applied in Wuhan, China and the method was verified by us-ing a complex network model combined with multi-criteria decision-making for emergency facility location.<\/jats:p><\/jats:sec>Practical implications<\/jats:title>This method solves the problem of how to choose the optimal solution and reduces the difficulty for decision makers. This method will help emergency managers to locate and plan RMSP more simply, especially in improving emergency siting modeling techniques and additionally in providing a reference for future research.<\/jats:p><\/jats:sec>Originality\/value<\/jats:title>The method proposed in this study is beneficial to improve the decision-making ability of urban emergency departments. Using complex networks and comprehensive evaluation techniques, RMSP is incorporated into the urban community emergency network as a critical rescue force. More importantly, the findings highlight a new direction for further research on urban emergency facilities site selection based on a combination of sound theoretical basis as well as empirical evidence gained from real life case-based analysis.<\/jats:p><\/jats:sec>Highlights:<\/jats:title>Material reserve points are incorporated into the emergency supply network to maintain the advantage of quantity.<\/jats:p><\/jats:list-item>Build emergency site selection facilities centered on urban communities.<\/jats:p><\/jats:list-item>Use a complex network model to select the location of emergency supplies storage sites.<\/jats:p><\/jats:list-item><\/jats:list><\/jats:p><\/jats:sec>","DOI":"10.1108\/k-07-2022-1060","type":"journal-article","created":{"date-parts":[[2022,10,24]],"date-time":"2022-10-24T23:38:19Z","timestamp":1666654699000},"page":"293-313","source":"Crossref","is-referenced-by-count":7,"title":["A hybrid decision-making approach for locating rescue materials storage points 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