Understanding Public Responses Towards Park-and-Ride in Conjunction with Transportation-Eco-Point: A Latent Class Modeling Approach

Based on stated preference (SP) data collected in Ho Chi Minh City, this paper applied a latent class (LC) - standard ordered response model (SORM) to explore attitude of respondents towards Park-and-Ride (P&R) and Transportation-Eco-Point (TEP) policies. The LC model assigned the respondents into "altruistic" and "selfish" classes. Then, the SORM determined the respondents' attitude for each class. In the model, some latent variables estimated from multiple-indicators multiple-causes (MIMIC) model were also considered. Generally, the people with less knowledge, less appropriateness and less recognition of the effects of the new policy belong to the selfish class. It was revealed that the price of prepaid shopping ticket (PPT) and return ratio of TEP (RRT) play very important roles in the respondents' attitude for both altruistic selfish class. In addition, the results suggest that the RRT of 15% and PPT from 0.3 to 0.4 million VND would satisfy both users and government.


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  • Accession Number: 01672372
  • Record Type: Publication
  • Source Agency: Japan Science and Technology Agency (JST)
  • Files: TRIS, JSTAGE
  • Created Date: Apr 25 2018 3:03PM