{"title":"基于模糊定位的德黑兰消防站选址新方法","authors":"Giti KhoshAmooz","doi":"10.1007/s12518-024-00597-0","DOIUrl":null,"url":null,"abstract":"<div><p>The growing population density would increase the demand for urban facilities. One of the most important kinds of these facilities is fire stations, whose duties include securing, preventing, and fighting fire. One of the most important problems with fire stations could be their inappropriate distribution and, therefore, the limitation of their service area. So, optimal site selection of fire stations is considered the main problem in this study. The goal of our study is to do site selection in Tehran, the capital of Iran, by considering seven criteria: farness from existing fire stations, closeness to main roads, closeness to high population density places, closeness to gas and fuel stations, closeness to historical, cultural and recreational sites (cinemas and museums), closeness to green spaces and closeness to evacuation places. These criteria maps were fuzzified with the help of a linear membership function. Then, they were overlaid with the Gamma fuzzy operation. Then the 5-minute service area of each station was computed and excluded from the decision space, and the places with high scores were determined as the best places to locate new fire stations. These places are located in five of Tehran’s regions. These regions are 14, 15, 16, 17 and 20.</p></div>","PeriodicalId":46286,"journal":{"name":"Applied Geomatics","volume":null,"pages":null},"PeriodicalIF":2.3000,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A new fuzzy location-based approach for fire station site selection in Tehran\",\"authors\":\"Giti KhoshAmooz\",\"doi\":\"10.1007/s12518-024-00597-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The growing population density would increase the demand for urban facilities. One of the most important kinds of these facilities is fire stations, whose duties include securing, preventing, and fighting fire. One of the most important problems with fire stations could be their inappropriate distribution and, therefore, the limitation of their service area. So, optimal site selection of fire stations is considered the main problem in this study. The goal of our study is to do site selection in Tehran, the capital of Iran, by considering seven criteria: farness from existing fire stations, closeness to main roads, closeness to high population density places, closeness to gas and fuel stations, closeness to historical, cultural and recreational sites (cinemas and museums), closeness to green spaces and closeness to evacuation places. These criteria maps were fuzzified with the help of a linear membership function. Then, they were overlaid with the Gamma fuzzy operation. Then the 5-minute service area of each station was computed and excluded from the decision space, and the places with high scores were determined as the best places to locate new fire stations. These places are located in five of Tehran’s regions. These regions are 14, 15, 16, 17 and 20.</p></div>\",\"PeriodicalId\":46286,\"journal\":{\"name\":\"Applied Geomatics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2024-10-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Geomatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s12518-024-00597-0\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"REMOTE SENSING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Geomatics","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.1007/s12518-024-00597-0","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"REMOTE SENSING","Score":null,"Total":0}
A new fuzzy location-based approach for fire station site selection in Tehran
The growing population density would increase the demand for urban facilities. One of the most important kinds of these facilities is fire stations, whose duties include securing, preventing, and fighting fire. One of the most important problems with fire stations could be their inappropriate distribution and, therefore, the limitation of their service area. So, optimal site selection of fire stations is considered the main problem in this study. The goal of our study is to do site selection in Tehran, the capital of Iran, by considering seven criteria: farness from existing fire stations, closeness to main roads, closeness to high population density places, closeness to gas and fuel stations, closeness to historical, cultural and recreational sites (cinemas and museums), closeness to green spaces and closeness to evacuation places. These criteria maps were fuzzified with the help of a linear membership function. Then, they were overlaid with the Gamma fuzzy operation. Then the 5-minute service area of each station was computed and excluded from the decision space, and the places with high scores were determined as the best places to locate new fire stations. These places are located in five of Tehran’s regions. These regions are 14, 15, 16, 17 and 20.
期刊介绍:
Applied Geomatics (AGMJ) is the official journal of SIFET the Italian Society of Photogrammetry and Topography and covers all aspects and information on scientific and technical advances in the geomatics sciences. The Journal publishes innovative contributions in geomatics applications ranging from the integration of instruments, methodologies and technologies and their use in the environmental sciences, engineering and other natural sciences.
The areas of interest include many research fields such as: remote sensing, close range and videometric photogrammetry, image analysis, digital mapping, land and geographic information systems, geographic information science, integrated geodesy, spatial data analysis, heritage recording; network adjustment and numerical processes. Furthermore, Applied Geomatics is open to articles from all areas of deformation measurements and analysis, structural engineering, mechanical engineering and all trends in earth and planetary survey science and space technology. The Journal also contains notices of conferences and international workshops, industry news, and information on new products. It provides a useful forum for professional and academic scientists involved in geomatics science and technology.
Information on Open Research Funding and Support may be found here: https://www.springernature.com/gp/open-research/institutional-agreements