{"title":"城市轨道交通主要客运群体路线选择模型——以北京市为例","authors":"Chen Li, Xinjian Liu, Yunyun Bai, Bo Wang, Jianling Huang, Yanyan Chen","doi":"10.1109/ICITE50838.2020.9231366","DOIUrl":null,"url":null,"abstract":"It is difficult to find the rules of passenger flow in the urban rail transit (URT) due to the difficulty in the travel choice collection. In order to study the route choice rule, a passenger intention survey has been conducted in Beijing urban rail transit (BURT), which includes the socio-economic attributes, perception of transfer and congestion, and choice intention of passengers. BURT passengers are divided into eight groups based on the socio-economic attributes. Of these groups, the route choice trend of the young and middle-aged passengers with low and medium income is similar, and these passengers account for 75 percent, which is the major passenger group. Then the main factors influencing route choice are extracted, and quantified by uniform cost standard. And route choice model of the major passenger group is constructed based on Logit model. Finally the BURT network is used to verify the validity of this model.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Route Choice Model of the Major Passenger Group in Urban Rail Transit: A Case Study of Beijing, China\",\"authors\":\"Chen Li, Xinjian Liu, Yunyun Bai, Bo Wang, Jianling Huang, Yanyan Chen\",\"doi\":\"10.1109/ICITE50838.2020.9231366\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It is difficult to find the rules of passenger flow in the urban rail transit (URT) due to the difficulty in the travel choice collection. In order to study the route choice rule, a passenger intention survey has been conducted in Beijing urban rail transit (BURT), which includes the socio-economic attributes, perception of transfer and congestion, and choice intention of passengers. BURT passengers are divided into eight groups based on the socio-economic attributes. Of these groups, the route choice trend of the young and middle-aged passengers with low and medium income is similar, and these passengers account for 75 percent, which is the major passenger group. Then the main factors influencing route choice are extracted, and quantified by uniform cost standard. And route choice model of the major passenger group is constructed based on Logit model. Finally the BURT network is used to verify the validity of this model.\",\"PeriodicalId\":112371,\"journal\":{\"name\":\"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICITE50838.2020.9231366\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITE50838.2020.9231366","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Route Choice Model of the Major Passenger Group in Urban Rail Transit: A Case Study of Beijing, China
It is difficult to find the rules of passenger flow in the urban rail transit (URT) due to the difficulty in the travel choice collection. In order to study the route choice rule, a passenger intention survey has been conducted in Beijing urban rail transit (BURT), which includes the socio-economic attributes, perception of transfer and congestion, and choice intention of passengers. BURT passengers are divided into eight groups based on the socio-economic attributes. Of these groups, the route choice trend of the young and middle-aged passengers with low and medium income is similar, and these passengers account for 75 percent, which is the major passenger group. Then the main factors influencing route choice are extracted, and quantified by uniform cost standard. And route choice model of the major passenger group is constructed based on Logit model. Finally the BURT network is used to verify the validity of this model.