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

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

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'.

本文言語English
ホスト出版物のタイトル2020 IEEE 5th International Conference on Intelligent Transportation Engineering, ICITE 2020
出版社Institute of Electrical and Electronics Engineers Inc.
ページ141-145
ページ数5
ISBN(電子版)9781728194097
DOI
出版ステータスPublished - 2020 9月
イベント5th IEEE International Conference on Intelligent Transportation Engineering, ICITE 2020 - Beijing, China
継続期間: 2020 9月 112020 9月 13

出版物シリーズ

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

Conference

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

ASJC Scopus subject areas

  • 人工知能
  • 決定科学(その他)
  • 自動車工学
  • 制御と最適化
  • 輸送

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