{"title":"Developing geographic information system for flood emergency logistics planning","authors":"Mei-Shiang Chang, Che-Fu Hsueh","doi":"10.1145/1357910.1358012","DOIUrl":null,"url":null,"abstract":"This paper aims at developing a flood emergency logistics database for geographic information system. By applying of the data processing and network analysis functions of geographic information system, the flooding potential areas maps can be utilized for estimating the possible locations of rescue demand points and the amounts of rescue equipment. The relevant input data for flood emergency logistics planning can be provided by this geographically-referenced database. Finally, a real study is presented for demonstration.","PeriodicalId":91410,"journal":{"name":"Summer Computer Simulation Conference : (SCSC 2014) : 2014 Summer Simulation Multi-Conference : Monterey, California, USA, 6-10 July 2014. Summer Computer Simulation Conference (2014 : Monterey, Calif.)","volume":"5 1","pages":"652-659"},"PeriodicalIF":0.0000,"publicationDate":"2007-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Summer Computer Simulation Conference : (SCSC 2014) : 2014 Summer Simulation Multi-Conference : Monterey, California, USA, 6-10 July 2014. Summer Computer Simulation Conference (2014 : Monterey, Calif.)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1357910.1358012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
This paper aims at developing a flood emergency logistics database for geographic information system. By applying of the data processing and network analysis functions of geographic information system, the flooding potential areas maps can be utilized for estimating the possible locations of rescue demand points and the amounts of rescue equipment. The relevant input data for flood emergency logistics planning can be provided by this geographically-referenced database. Finally, a real study is presented for demonstration.