Comparing uncertainties in travel mode choice decisions for various trip chains

Qian Wan; Zhibin Li; Yong Qi; Jingwei Yu; Ziyuan Pu; Guoqing Peng; Qianqian Liu

doi:10.1177/1687814019835102

Comparing uncertainties in travel mode choice decisions for various trip chains

Qian Wan, Zhibin Li, Yong Qi, Jingwei Yu, Ziyuan Pu, Guoqing Peng, Qianqian Liu

Research output: Contribution to journal › Article › Research › peer-review

4 Citations (Scopus)

Abstract

The main purpose of this article is to compare the mode choice decisions between commuting and non-commuting trip chains and evaluate the uncertainties in the mode choice process. According to household survey data from a medium-sized city in China, the whole day of travel is divided into several types of travel chains. We used the multinomial logit model to estimate the impacts of factors on the choices of trip modes, which included walk, bike, public transit, and car. The entropy theory was introduced to evaluate the uncertainty of each traveler’s mode choice decision. The results indicate that there are great differences in mode choice between commuting and non-commuting trip chains. It is found that the causes and effects of different chains are different. The results help to understand the decision-making process of mode.

Original language	English
Article number	1687814019835102
Number of pages	11
Journal	Advances in Mechanical Engineering
Volume	11
Issue number	4
DOIs	https://doi.org/10.1177/1687814019835102
Publication status	Published - 16 Apr 2019
Externally published	Yes

Keywords

commuting
entropy
Mode choice
non-commuting
trip chain
uncertainty

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10.1177/1687814019835102Licence: CC BY

345764783-oaFinal published version, 1.28 MBLicence: CC BY

Cite this

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title = "Comparing uncertainties in travel mode choice decisions for various trip chains",

abstract = "The main purpose of this article is to compare the mode choice decisions between commuting and non-commuting trip chains and evaluate the uncertainties in the mode choice process. According to household survey data from a medium-sized city in China, the whole day of travel is divided into several types of travel chains. We used the multinomial logit model to estimate the impacts of factors on the choices of trip modes, which included walk, bike, public transit, and car. The entropy theory was introduced to evaluate the uncertainty of each traveler{\textquoteright}s mode choice decision. The results indicate that there are great differences in mode choice between commuting and non-commuting trip chains. It is found that the causes and effects of different chains are different. The results help to understand the decision-making process of mode.",

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note = "Funding Information: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The research is jointly supported by the National Natural Science Foundation of China (51508122, 71871057, 51678132), National Key R&D Program in China (2016 YFE0108000), Guangxi Key Research and Development Program (Grant No. 1524800210, Guike AB16380280, Guike AB17292087), Guangxi Natural Science Foundation (Grant No. 2015GXNSFBA139216), Innovation Project of Guangxi Graduate Education (YCSW2018146), and the Scientific Research Project of Chinese National Ministry of Housing and Urban-Rural Construction (2017K2-009). Publisher Copyright: {\textcopyright} The Author(s) 2019. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.",

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doi = "10.1177/1687814019835102",

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AU - Li, Zhibin

AU - Qi, Yong

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AU - Pu, Ziyuan

AU - Peng, Guoqing

AU - Liu, Qianqian

N1 - Funding Information: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The research is jointly supported by the National Natural Science Foundation of China (51508122, 71871057, 51678132), National Key R&D Program in China (2016 YFE0108000), Guangxi Key Research and Development Program (Grant No. 1524800210, Guike AB16380280, Guike AB17292087), Guangxi Natural Science Foundation (Grant No. 2015GXNSFBA139216), Innovation Project of Guangxi Graduate Education (YCSW2018146), and the Scientific Research Project of Chinese National Ministry of Housing and Urban-Rural Construction (2017K2-009). Publisher Copyright: © The Author(s) 2019. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.

PY - 2019/4/16

Y1 - 2019/4/16

N2 - The main purpose of this article is to compare the mode choice decisions between commuting and non-commuting trip chains and evaluate the uncertainties in the mode choice process. According to household survey data from a medium-sized city in China, the whole day of travel is divided into several types of travel chains. We used the multinomial logit model to estimate the impacts of factors on the choices of trip modes, which included walk, bike, public transit, and car. The entropy theory was introduced to evaluate the uncertainty of each traveler’s mode choice decision. The results indicate that there are great differences in mode choice between commuting and non-commuting trip chains. It is found that the causes and effects of different chains are different. The results help to understand the decision-making process of mode.

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Comparing uncertainties in travel mode choice decisions for various trip chains

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Keywords

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