Proceedings of the 3rd International Conference on Digital Economy and Computer Application (DECA 2023)

Factors Influencing Commuter Travel Mode Choice - A Study of Travel Survey Data in the Puget Sound Region of the Northwestern United States

Authors
Xinyu Shi1, *, Zhuoheng Ying1, Zengzhi Zhang1, Jingdi Fu1
1Chang’an Dublin International College of Transportation, Chang’an University, Xi’an, China, 710064
*Corresponding author. Email: shixinyu915@yeah.net
Corresponding Author
Xinyu Shi
Available Online 4 December 2023.
DOI
10.2991/978-94-6463-304-7_24How to use a DOI?
Keywords
Commuting mode; multinomial logit regression; transportation planning; non-motorized travel
Abstract

Urban commuters are the main participants in urban transportation, directly affecting the planning, design, and operation of urban transportation strategies. The study of commuting modes is a current research hotspot, and studying the effects of factors such as age, gender, and employ on travel mode choices has important reference value for improving urban transportation problems. This research focused on commuters in the Puget Sound area of the Pacific Northwest of the United States, delves into various factors influencing travel mode choices, aiming to provide empirical references for urban transportation planning and management. Using chi-square tests, one-way ANOVA, and multinomial logit regression models, the study found that age, gender, education level, employment status, work location, and commuting frequency significantly influence travel modes. Specifically, the age group of 18-64 years prefers non-motorized transportation; most commuters favor non-motorized transportation regardless of the frequency of commuting; the variability in work location affects travel choices, and a higher level of education increases the tendency towards non-motorized transportation. Moreover, part-time employees lean more towards non-motorized transportation, whereas full-time employees are more inclined to use public/shared transportation, and males are more prone to non-motorized commuting compared to females. The findings of this study provide robust strategic references for urban transportation decision-makers, aiming to foster efficient planning and management of urban transportation.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 3rd International Conference on Digital Economy and Computer Application (DECA 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
4 December 2023
ISBN
978-94-6463-304-7
ISSN
2589-4900
DOI
10.2991/978-94-6463-304-7_24How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Xinyu Shi
AU  - Zhuoheng Ying
AU  - Zengzhi Zhang
AU  - Jingdi Fu
PY  - 2023
DA  - 2023/12/04
TI  - Factors Influencing Commuter Travel Mode Choice - A Study of Travel Survey Data in the Puget Sound Region of the Northwestern United States
BT  - Proceedings of the 3rd International Conference on Digital Economy and Computer Application (DECA 2023)
PB  - Atlantis Press
SP  - 222
EP  - 229
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-304-7_24
DO  - 10.2991/978-94-6463-304-7_24
ID  - Shi2023
ER  -