{"title":"Demand variation in regional transport","authors":"Stanislav Metelka, Vít Janoš","doi":"10.1109/SCSP52043.2021.9447373","DOIUrl":null,"url":null,"abstract":"This article deals with describing the key parameters of regional public transport demand in the Lovosice Area, Czech Republic. It specifically deals with the issue of daily variation, the ratio of transport demand in peak and off-peak hours and the modal ratio.The second part presents the demand characteristics collected in the Lovosice area. Among these, a daily variation of the suburban bus and train line is analyzed and compared. This analysis is followed by recommendations for vehicle optimization based on the highest peak hour occupancy. In addition, the system split of the parallel routed regional public transport modes with its influencing factors on demand distribution is discussed.","PeriodicalId":158827,"journal":{"name":"2021 Smart City Symposium Prague (SCSP)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 Smart City Symposium Prague (SCSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SCSP52043.2021.9447373","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
This article deals with describing the key parameters of regional public transport demand in the Lovosice Area, Czech Republic. It specifically deals with the issue of daily variation, the ratio of transport demand in peak and off-peak hours and the modal ratio.The second part presents the demand characteristics collected in the Lovosice area. Among these, a daily variation of the suburban bus and train line is analyzed and compared. This analysis is followed by recommendations for vehicle optimization based on the highest peak hour occupancy. In addition, the system split of the parallel routed regional public transport modes with its influencing factors on demand distribution is discussed.