Study on Departure Time Choice of Tourism Purpose Trips with the Perception of Predicted Near-future Traffic Condition-An Experiment Using a Mobile Application

Yiping Le, Saizo Aoyagi, Tetsuo Shimizu, Kazuki Takahashi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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'.

Original languageEnglish
Title of host publication2020 IEEE 5th International Conference on Intelligent Transportation Engineering, ICITE 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages141-145
Number of pages5
ISBN (Electronic)9781728194097
DOIs
Publication statusPublished - 2020 Sep
Event5th IEEE International Conference on Intelligent Transportation Engineering, ICITE 2020 - Beijing, China
Duration: 2020 Sep 112020 Sep 13

Publication series

Name2020 IEEE 5th International Conference on Intelligent Transportation Engineering, ICITE 2020

Conference

Conference5th IEEE International Conference on Intelligent Transportation Engineering, ICITE 2020
CountryChina
CityBeijing
Period20/9/1120/9/13

Keywords

  • departure time choice
  • homeward trips
  • information provision
  • mobile application
  • tourism purpose trips

ASJC Scopus subject areas

  • Artificial Intelligence
  • Decision Sciences (miscellaneous)
  • Automotive Engineering
  • Control and Optimization
  • Transportation

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