A. C. Aydinoglu, Metin Senbil, Deniz Saglam, Selçuk Demir
{"title":"Planning of parking places on transportation infrastructure by geographic information techniques","authors":"A. C. Aydinoglu, Metin Senbil, Deniz Saglam, Selçuk Demir","doi":"10.1109/SGCF.2015.7354927","DOIUrl":null,"url":null,"abstract":"Considering the increased number of vehicles every day, parking supplies should meet parking demands on transportation infrastructure. Irregular construction and excessive population growth in urban areas required re-planning and site selection of parking places. In this study, an analysis algorithm was developed to determine location-based parking demand by using Geographic Information System (GIS) techniques. After calculating parking demand and supply balance, the location-allocation techniques of network analysis were implemented to determine the best locations of parking, depending on parking demand. These processing tools were tested for an urban area. As a result, an innovative data processing method was developed to determine the best locations of car parking.","PeriodicalId":236483,"journal":{"name":"2015 3rd International Istanbul Smart Grid Congress and Fair (ICSG)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 3rd International Istanbul Smart Grid Congress and Fair (ICSG)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SGCF.2015.7354927","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Considering the increased number of vehicles every day, parking supplies should meet parking demands on transportation infrastructure. Irregular construction and excessive population growth in urban areas required re-planning and site selection of parking places. In this study, an analysis algorithm was developed to determine location-based parking demand by using Geographic Information System (GIS) techniques. After calculating parking demand and supply balance, the location-allocation techniques of network analysis were implemented to determine the best locations of parking, depending on parking demand. These processing tools were tested for an urban area. As a result, an innovative data processing method was developed to determine the best locations of car parking.