Volume 40 Issue 5
Nov.  2022
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Article Navigation >  Journal of Transport Information and Safety  > 2022  >  40(5): 139-146
HAO Xiaoni, SHI Wenhan, LIU Jianrong, HAN Yao. An Analysis of Mode Choice Behavior of Inter-city Travel in Urban Agglomeration Areas Using a Random-parameter Logit Model[J]. Journal of Transport Information and Safety, 2022, 40(5): 139-146. doi: 10.3963/j.jssn.1674-4861.2022.05.015
Citation: HAO Xiaoni, SHI Wenhan, LIU Jianrong, HAN Yao. An Analysis of Mode Choice Behavior of Inter-city Travel in Urban Agglomeration Areas Using a Random-parameter Logit Model[J]. Journal of Transport Information and Safety, 2022, 40(5): 139-146. doi: 10.3963/j.jssn.1674-4861.2022.05.015
shu

An Analysis of Mode Choice Behavior of Inter-city Travel in Urban Agglomeration Areas Using a Random-parameter Logit Model

doi: 10.3963/j.jssn.1674-4861.2022.05.015

  • School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510640, China

  • Received Date: 2022-03-29
    Available Online: 2022-12-05
    Abstract
  • In order to study the impact factors of mode choices of travel modes in inter-city transport, the Guangzhou-Shenzhen inter-city transport corridor in the Great Bay Area of Guangdong-Hong Kong-Macao in China is taken as a case study. Given that traditional multinomial Logit models have the issue of independence of irrelevant alternatives (IIA) and they cannot be used to analyze heterogeneous preferences of travelers, a random-parameter Logit model is applied in this study. An online/offline survey is carried out and a total of 534 questionnaires are obtained. In the survey, information including socio-economic attributes of travelers, psychological latent variables (i. e., perceptions toward comfort, reliability, and convenience of travel modes), and attributes of modes for inter-city travel is collected, with which a random-parameter Logit model is developed and estimated. The pseudo R2 of the model is 0.178 at convergence, indicating a good model fit. The estimation results show that the income, occupation, car ownership, number of children in a family, and the perception toward the convenience of travel modes have a significant impact on the mode choice behavior of inter-city travel in urban agglomeration areas, while comfort and reliability of inter-city travel modes are not. Meanwhile, improving the convenience of inter-city travel modes plays a key role in improving their attractiveness. In this sense, special attention should be given to the convenience of the inter-city travel modes in the process of inter-city transport planning and management.

     

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