Yiping Le, Saizo Aoyagi, Tetsuo Shimizu, Kazuki Takahashi
{"title":"基于近期交通状况预测的旅游目的出行出发时间选择研究——基于移动应用程序的实验","authors":"Yiping Le, Saizo Aoyagi, Tetsuo Shimizu, Kazuki Takahashi","doi":"10.1109/ICITE50838.2020.9231518","DOIUrl":null,"url":null,"abstract":"Departure time choice of trips has been an essential topic in the research of traffic congestion. This study targets at the departure time choice of tourism purpose trip with a particular focus on the homeward trips after sightseeing. It presented an analysis of data collected by an experimental route search mobile application developed by the authors that provides travel times of “Depart time” and predicted travel time of “Depart later”. The influencing factors that impact on the departure time choice, such as personal characteristics and route search attributes, are examined. The research results found that travelers are more likely to choose “Depart later” when the travel time of “Depart later” is over 10 minutes shorter than that of “Depart now”.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"218 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Study on Departure Time Choice of Tourism Purpose Trips with the Perception of Predicted Near-future Traffic Condition - An Experiment Using a Mobile Application\",\"authors\":\"Yiping Le, Saizo Aoyagi, Tetsuo Shimizu, Kazuki Takahashi\",\"doi\":\"10.1109/ICITE50838.2020.9231518\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Departure time choice of trips has been an essential topic in the research of traffic congestion. This study targets at the departure time choice of tourism purpose trip with a particular focus on the homeward trips after sightseeing. It presented an analysis of data collected by an experimental route search mobile application developed by the authors that provides travel times of “Depart time” and predicted travel time of “Depart later”. The influencing factors that impact on the departure time choice, such as personal characteristics and route search attributes, are examined. The research results found that travelers are more likely to choose “Depart later” when the travel time of “Depart later” is over 10 minutes shorter than that of “Depart now”.\",\"PeriodicalId\":112371,\"journal\":{\"name\":\"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)\",\"volume\":\"218 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"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/ICITE50838.2020.9231518\",\"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/ICITE50838.2020.9231518","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Study on Departure Time Choice of Tourism Purpose Trips with the Perception of Predicted Near-future Traffic Condition - An Experiment Using a Mobile Application
Departure time choice of trips has been an essential topic in the research of traffic congestion. This study targets at the departure time choice of tourism purpose trip with a particular focus on the homeward trips after sightseeing. It presented an analysis of data collected by an experimental route search mobile application developed by the authors that provides travel times of “Depart time” and predicted travel time of “Depart later”. The influencing factors that impact on the departure time choice, such as personal characteristics and route search attributes, are examined. The research results found that travelers are more likely to choose “Depart later” when the travel time of “Depart later” is over 10 minutes shorter than that of “Depart now”.