Exploring Influencing Factors of Intercity Mode Choice from View of Entire Travel Chain
Exploring the influencing factors of intercity travel mode choice can reveal passengers’ travel decision mechanisms and help traffic departments to develop an effective demand management policy. To investigate these factors, a survey was conducted in Xi’an, China, to collect data about passengers’ t...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2021/9454873 |
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| _version_ | 1832550885896486912 |
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| author | Xiaowei Li Siyu Zhang Yao Wu Yuting Wang Wenbo Wang |
| author_facet | Xiaowei Li Siyu Zhang Yao Wu Yuting Wang Wenbo Wang |
| author_sort | Xiaowei Li |
| collection | DOAJ |
| description | Exploring the influencing factors of intercity travel mode choice can reveal passengers’ travel decision mechanisms and help traffic departments to develop an effective demand management policy. To investigate these factors, a survey was conducted in Xi’an, China, to collect data about passengers’ travel chains, including airplane, high-speed railway (HSR), train, and express bus. A Bayesian mixed multinomial logit model is developed to identify significant factors and explicate unobserved heterogeneity across observations. The effect of significant factors on intercity travel mode choice is quantitatively assessed by the odds ratio (OR) technique. The results show that the Bayesian mixed multinomial logit model outperforms the traditional Bayesian multinomial logit model, indicating that accommodating the unobserved heterogeneity across observations can improve the model fit. The model estimation results show that ticket purchasing method, comfort, punctuality, and access time are random parameters that have heterogeneous effects on intercity travel mode choice. |
| format | Article |
| id | doaj-art-1d0090a52ad84e24b153e21eeb0abdb8 |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-1d0090a52ad84e24b153e21eeb0abdb82025-02-03T06:05:33ZengWileyJournal of Advanced Transportation0197-67292042-31952021-01-01202110.1155/2021/94548739454873Exploring Influencing Factors of Intercity Mode Choice from View of Entire Travel ChainXiaowei Li0Siyu Zhang1Yao Wu2Yuting Wang3Wenbo Wang4School of Civil Engineering, Xi’an University of Architecture & Technology, Xi’an 710055, ChinaSchool of Civil Engineering, Xi’an University of Architecture & Technology, Xi’an 710055, ChinaSchool of Modern Posts & Institute of Modern Posts, Nanjing University of Posts and Telecommunications, Nanjing, 210003, ChinaSchool of Civil Engineering, Xi’an University of Architecture & Technology, Xi’an 710055, ChinaCCCC First Highway Consultants Co., Ltd, Xi’an 710075, ChinaExploring the influencing factors of intercity travel mode choice can reveal passengers’ travel decision mechanisms and help traffic departments to develop an effective demand management policy. To investigate these factors, a survey was conducted in Xi’an, China, to collect data about passengers’ travel chains, including airplane, high-speed railway (HSR), train, and express bus. A Bayesian mixed multinomial logit model is developed to identify significant factors and explicate unobserved heterogeneity across observations. The effect of significant factors on intercity travel mode choice is quantitatively assessed by the odds ratio (OR) technique. The results show that the Bayesian mixed multinomial logit model outperforms the traditional Bayesian multinomial logit model, indicating that accommodating the unobserved heterogeneity across observations can improve the model fit. The model estimation results show that ticket purchasing method, comfort, punctuality, and access time are random parameters that have heterogeneous effects on intercity travel mode choice.http://dx.doi.org/10.1155/2021/9454873 |
| spellingShingle | Xiaowei Li Siyu Zhang Yao Wu Yuting Wang Wenbo Wang Exploring Influencing Factors of Intercity Mode Choice from View of Entire Travel Chain Journal of Advanced Transportation |
| title | Exploring Influencing Factors of Intercity Mode Choice from View of Entire Travel Chain |
| title_full | Exploring Influencing Factors of Intercity Mode Choice from View of Entire Travel Chain |
| title_fullStr | Exploring Influencing Factors of Intercity Mode Choice from View of Entire Travel Chain |
| title_full_unstemmed | Exploring Influencing Factors of Intercity Mode Choice from View of Entire Travel Chain |
| title_short | Exploring Influencing Factors of Intercity Mode Choice from View of Entire Travel Chain |
| title_sort | exploring influencing factors of intercity mode choice from view of entire travel chain |
| url | http://dx.doi.org/10.1155/2021/9454873 |
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