Freeway Access to Public Transport
Eric J. E. Molin, Michel van Gelder
Abstract
Eric J. E. Molin, Michel van Gelder
Abstract
This paper presents a hierarchical choice model of travelers’ choices for a multimodal transport system with highway access, which may be regarded as an origin-based park-and-ride system. The model is based on hierarchical information integration experiments, which involves devising three rating-based experiments to evaluate different aspects of the multimodal transport systems. In addition, an integrating choice experiment is devised, in which respondents choose between a door-to-door car alternative, a multimodal alternative, and the current public transport alternative, which varied in terms of construct evaluations and time and cost attributes. One of the main results is that time-related attributes affect multimodal transport choice more than comfort-related attributes do. Furthermore, the results indicate that only a few utility differences exist among the categories of background variables.
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This paper presents a hierarchical choice model of travelers’ choices for a multimodal transport system with highway access, which may be regarded as an origin-based park-and-ride system. The model is based on hierarchical information integration experiments, which involves devising three rating-based experiments to evaluate different aspects of the multimodal transport systems. In addition, an integrating choice experiment is devised, in which respondents choose between a door-to-door car alternative, a multimodal alternative, and the current public transport alternative, which varied in terms of construct evaluations and time and cost attributes. One of the main results is that time-related attributes affect multimodal transport choice more than comfort-related attributes do. Furthermore, the results indicate that only a few utility differences exist among the categories of background variables.
Key concepts: Multimodal transport, Public transport, Construct (python library), Transport engineering, Computer science, Affect (linguistics), Passenger transport, Operations research