Evaluating the Effect of Public Transit Quality Elements on Mode Choice
This paper presents the development of a transport mode choice model as a component of a transport satisfaction study. The data used for the calibration of this model comes from a stated preference experiment of a mobility and transit satisfaction survey that was designed and deployed by the authors. The final specification of the model is a discrete choice nested logit model with panel data estimation. The results of the model highlight the importance of inherent preferences, especially towards non-transit private modes. Regarding public transport modes and walking, time related attributes play the most important role in choosing them. This highlights a key difference between public transport and private modes. Whereas an increase of total travel time in public transport modes would be a deal-breaker, it would not force car users to reconsider their choice. Car users need to be more aware of the negative externalities associated with car use for policies that seek to decrease car-usage be effective and boost transit ridership.
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Supplemental Notes:
- This paper was sponsored by TRB committee ABE50 Standing Committee on Transportation Demand Management.
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Authors:
- Papaioannou, Dimitrios
- Martínez, Luis Miguel
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Conference:
- Transportation Research Board 97th Annual Meeting
- Location: Washington DC, United States
- Date: 2018-1-7 to 2018-1-11
- Date: 2018
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: 13p
Subject/Index Terms
- TRT Terms: Attitudes; Automobile travel; Customer satisfaction; Logits; Mode choice; Private transportation; Public transit; Quality of service; Stated preferences; Travel surveys; Travel time; Walking
- Uncontrolled Terms: Discrete choice models
- Subject Areas: Planning and Forecasting; Public Transportation;
Filing Info
- Accession Number: 01659965
- Record Type: Publication
- Report/Paper Numbers: 18-04598
- Files: TRIS, TRB, ATRI
- Created Date: Feb 13 2018 9:53AM