{"title":"钦奈(印度)地铁扩建走廊沿线模式用户基于出行的模式转换行为","authors":"Siddi Ramulu D.","doi":"10.48295/et.2022.89.6","DOIUrl":null,"url":null,"abstract":"Object of this study is to predict the ‘Probability of Shift’ to the proposed metro corridor from two-wheeler, car, bus and suburban rail in Chennai. To achieve this, a Stated Preference survey questionnaire was prepared and survey was conducted among two-wheeler users; car users; bus users and suburban rail users through face-to-face interview method. The collected SP data were coded, analysed and mode-wise/ trip-based binary logit models were developed using Statistical Software Tools (SST) software. From the developed models, it is observed that irrespective of mode & trip purposes, the choice of metro is fully driven by the proposed metro fare. From the predicted Probability of Shift, it is observed that car users are more willing to switch to metro as well as relatively price sensitive when comparing with other mode users.","PeriodicalId":45410,"journal":{"name":"European Transport-Trasporti Europei","volume":"14 1","pages":""},"PeriodicalIF":0.7000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Trip-based Modal Shift Behaviour of Mode Users along the Proposed Extension Metro Corridor in Chennai (India)\",\"authors\":\"Siddi Ramulu D.\",\"doi\":\"10.48295/et.2022.89.6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Object of this study is to predict the ‘Probability of Shift’ to the proposed metro corridor from two-wheeler, car, bus and suburban rail in Chennai. To achieve this, a Stated Preference survey questionnaire was prepared and survey was conducted among two-wheeler users; car users; bus users and suburban rail users through face-to-face interview method. The collected SP data were coded, analysed and mode-wise/ trip-based binary logit models were developed using Statistical Software Tools (SST) software. From the developed models, it is observed that irrespective of mode & trip purposes, the choice of metro is fully driven by the proposed metro fare. From the predicted Probability of Shift, it is observed that car users are more willing to switch to metro as well as relatively price sensitive when comparing with other mode users.\",\"PeriodicalId\":45410,\"journal\":{\"name\":\"European Transport-Trasporti Europei\",\"volume\":\"14 1\",\"pages\":\"\"},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2022-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Transport-Trasporti Europei\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.48295/et.2022.89.6\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"TRANSPORTATION\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Transport-Trasporti Europei","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.48295/et.2022.89.6","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"TRANSPORTATION","Score":null,"Total":0}
Trip-based Modal Shift Behaviour of Mode Users along the Proposed Extension Metro Corridor in Chennai (India)
Object of this study is to predict the ‘Probability of Shift’ to the proposed metro corridor from two-wheeler, car, bus and suburban rail in Chennai. To achieve this, a Stated Preference survey questionnaire was prepared and survey was conducted among two-wheeler users; car users; bus users and suburban rail users through face-to-face interview method. The collected SP data were coded, analysed and mode-wise/ trip-based binary logit models were developed using Statistical Software Tools (SST) software. From the developed models, it is observed that irrespective of mode & trip purposes, the choice of metro is fully driven by the proposed metro fare. From the predicted Probability of Shift, it is observed that car users are more willing to switch to metro as well as relatively price sensitive when comparing with other mode users.