Exploring Commuters’ Departure Time Choice under Intelligent Transportation Information

Xiaowei Hu; Fuyong Lu; Fuzhen Zhang

doi:10.1061/9780784486269.258

Exploring Commuters’ Departure Time Choice under Intelligent Transportation Information

Xiaowei Hu^*
, Fuyong Lu
, Fuzhen Zhang

^*Corresponding author for this work

School of Transportation Science and Engineering, Harbin Institute of Technology
Ltd.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

With the continuous development of the economy and society, the transportation sector is evolving rapidly. The number of vehicles keeps increasing, and problems such as traffic congestion have become increasingly severe. To effectively and efficiently guide urban traffic flows, alleviate traffic congestion, it is necessary to analyze and study the travel choice behaviors of travelers. This paper adopts the theory of individual choice behavior based on behavioral and psychological theories. By researching the behavior choice based on the needs of individuals or groups, the travel choice behavior of travelers is analyzed, and the departure time choice model of travelers is constructed. By designing a questionnaire with quantitative indicators, the main factors influencing travelers’ choice of departure time were discussed. Establish, analyze, and calibrate multivariate logistic models for departure time selection.

Original language	English
Title of host publication	CICTP 2025
Subtitle of host publication	Transportation, Artificial Intelligence, and Energy - Proceedings of the 25th COTA International Conference of Transportation Professionals
Editors	Guohui Zhang, Zhenhong Lin, Cong Chen, Jun Liu, Shiqi Ou, Qianqian Yan
Publisher	American Society of Civil Engineers (ASCE)
Pages	2709-2718
Number of pages	10
ISBN (Electronic)	9780784486269
DOIs	https://doi.org/10.1061/9780784486269.258
State	Published - 2025
Externally published	Yes
Event	25th COTA International Conference of Transportation Professionals, CICTP 2025 - Guangzhou, China Duration: 22 Jul 2025 → 25 Jul 2025

Publication series

Name	CICTP 2025: Transportation, Artificial Intelligence, and Energy - Proceedings of the 25th COTA International Conference of Transportation Professionals

Conference

Conference	25th COTA International Conference of Transportation Professionals, CICTP 2025
Country/Territory	China
City	Guangzhou
Period	22/07/25 → 25/07/25

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure
SDG 11 Sustainable Cities and Communities

Keywords

Individual choice behavior
Travel information, Logistic model
Travel time selection

Access to Document

10.1061/9780784486269.258

Cite this

Hu, X., Lu, F., & Zhang, F. (2025). Exploring Commuters’ Departure Time Choice under Intelligent Transportation Information. In G. Zhang, Z. Lin, C. Chen, J. Liu, S. Ou, & Q. Yan (Eds.), CICTP 2025: Transportation, Artificial Intelligence, and Energy - Proceedings of the 25th COTA International Conference of Transportation Professionals (pp. 2709-2718). (CICTP 2025: Transportation, Artificial Intelligence, and Energy - Proceedings of the 25th COTA International Conference of Transportation Professionals). American Society of Civil Engineers (ASCE). https://doi.org/10.1061/9780784486269.258

Hu, Xiaowei ; Lu, Fuyong ; Zhang, Fuzhen. / Exploring Commuters’ Departure Time Choice under Intelligent Transportation Information. CICTP 2025: Transportation, Artificial Intelligence, and Energy - Proceedings of the 25th COTA International Conference of Transportation Professionals. editor / Guohui Zhang ; Zhenhong Lin ; Cong Chen ; Jun Liu ; Shiqi Ou ; Qianqian Yan. American Society of Civil Engineers (ASCE), 2025. pp. 2709-2718 (CICTP 2025: Transportation, Artificial Intelligence, and Energy - Proceedings of the 25th COTA International Conference of Transportation Professionals).

@inproceedings{8455d175541d4732929e4090a9f5bb34,

title = "Exploring Commuters{\textquoteright} Departure Time Choice under Intelligent Transportation Information",

abstract = "With the continuous development of the economy and society, the transportation sector is evolving rapidly. The number of vehicles keeps increasing, and problems such as traffic congestion have become increasingly severe. To effectively and efficiently guide urban traffic flows, alleviate traffic congestion, it is necessary to analyze and study the travel choice behaviors of travelers. This paper adopts the theory of individual choice behavior based on behavioral and psychological theories. By researching the behavior choice based on the needs of individuals or groups, the travel choice behavior of travelers is analyzed, and the departure time choice model of travelers is constructed. By designing a questionnaire with quantitative indicators, the main factors influencing travelers{\textquoteright} choice of departure time were discussed. Establish, analyze, and calibrate multivariate logistic models for departure time selection.",

keywords = "Individual choice behavior, Travel information, Logistic model, Travel time selection",

author = "Xiaowei Hu and Fuyong Lu and Fuzhen Zhang",

note = "Publisher Copyright: {\textcopyright} ASCE.; 25th COTA International Conference of Transportation Professionals, CICTP 2025 ; Conference date: 22-07-2025 Through 25-07-2025",

year = "2025",

doi = "10.1061/9780784486269.258",

language = "英语",

series = "CICTP 2025: Transportation, Artificial Intelligence, and Energy - Proceedings of the 25th COTA International Conference of Transportation Professionals",

publisher = "American Society of Civil Engineers (ASCE)",

pages = "2709--2718",

editor = "Guohui Zhang and Zhenhong Lin and Cong Chen and Jun Liu and Shiqi Ou and Qianqian Yan",

booktitle = "CICTP 2025",

address = "美国",

}

Hu, X, Lu, F & Zhang, F 2025, Exploring Commuters’ Departure Time Choice under Intelligent Transportation Information. in G Zhang, Z Lin, C Chen, J Liu, S Ou & Q Yan (eds), CICTP 2025: Transportation, Artificial Intelligence, and Energy - Proceedings of the 25th COTA International Conference of Transportation Professionals. CICTP 2025: Transportation, Artificial Intelligence, and Energy - Proceedings of the 25th COTA International Conference of Transportation Professionals, American Society of Civil Engineers (ASCE), pp. 2709-2718, 25th COTA International Conference of Transportation Professionals, CICTP 2025, Guangzhou, China, 22/07/25. https://doi.org/10.1061/9780784486269.258

Exploring Commuters’ Departure Time Choice under Intelligent Transportation Information. / Hu, Xiaowei; Lu, Fuyong; Zhang, Fuzhen.
CICTP 2025: Transportation, Artificial Intelligence, and Energy - Proceedings of the 25th COTA International Conference of Transportation Professionals. ed. / Guohui Zhang; Zhenhong Lin; Cong Chen; Jun Liu; Shiqi Ou; Qianqian Yan. American Society of Civil Engineers (ASCE), 2025. p. 2709-2718 (CICTP 2025: Transportation, Artificial Intelligence, and Energy - Proceedings of the 25th COTA International Conference of Transportation Professionals).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Exploring Commuters’ Departure Time Choice under Intelligent Transportation Information

AU - Hu, Xiaowei

AU - Lu, Fuyong

AU - Zhang, Fuzhen

N1 - Publisher Copyright: © ASCE.

PY - 2025

Y1 - 2025

N2 - With the continuous development of the economy and society, the transportation sector is evolving rapidly. The number of vehicles keeps increasing, and problems such as traffic congestion have become increasingly severe. To effectively and efficiently guide urban traffic flows, alleviate traffic congestion, it is necessary to analyze and study the travel choice behaviors of travelers. This paper adopts the theory of individual choice behavior based on behavioral and psychological theories. By researching the behavior choice based on the needs of individuals or groups, the travel choice behavior of travelers is analyzed, and the departure time choice model of travelers is constructed. By designing a questionnaire with quantitative indicators, the main factors influencing travelers’ choice of departure time were discussed. Establish, analyze, and calibrate multivariate logistic models for departure time selection.

AB - With the continuous development of the economy and society, the transportation sector is evolving rapidly. The number of vehicles keeps increasing, and problems such as traffic congestion have become increasingly severe. To effectively and efficiently guide urban traffic flows, alleviate traffic congestion, it is necessary to analyze and study the travel choice behaviors of travelers. This paper adopts the theory of individual choice behavior based on behavioral and psychological theories. By researching the behavior choice based on the needs of individuals or groups, the travel choice behavior of travelers is analyzed, and the departure time choice model of travelers is constructed. By designing a questionnaire with quantitative indicators, the main factors influencing travelers’ choice of departure time were discussed. Establish, analyze, and calibrate multivariate logistic models for departure time selection.

KW - Individual choice behavior

KW - Travel information, Logistic model

KW - Travel time selection

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M3 - 会议稿件

AN - SCOPUS:105030234193

T3 - CICTP 2025: Transportation, Artificial Intelligence, and Energy - Proceedings of the 25th COTA International Conference of Transportation Professionals

SP - 2709

EP - 2718

BT - CICTP 2025

A2 - Zhang, Guohui

A2 - Lin, Zhenhong

A2 - Chen, Cong

A2 - Liu, Jun

A2 - Ou, Shiqi

A2 - Yan, Qianqian

PB - American Society of Civil Engineers (ASCE)

T2 - 25th COTA International Conference of Transportation Professionals, CICTP 2025

Y2 - 22 July 2025 through 25 July 2025

ER -

Hu X, Lu F, Zhang F. Exploring Commuters’ Departure Time Choice under Intelligent Transportation Information. In Zhang G, Lin Z, Chen C, Liu J, Ou S, Yan Q, editors, CICTP 2025: Transportation, Artificial Intelligence, and Energy - Proceedings of the 25th COTA International Conference of Transportation Professionals. American Society of Civil Engineers (ASCE). 2025. p. 2709-2718. (CICTP 2025: Transportation, Artificial Intelligence, and Energy - Proceedings of the 25th COTA International Conference of Transportation Professionals). doi: 10.1061/9780784486269.258

Exploring Commuters’ Departure Time Choice under Intelligent Transportation Information

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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