Chapter
Apr 26, 2012
A Modeling Method for Estimating the P&BR Demand
Authors: Hongzhi Guan and Kazuo NishiiAuthor Affiliations
Publication: Traffic and Transportation Studies (2000)
Abstract
To cut down car trips in rush hours, a social P&BR (Park and Bus Ride) experiment has been adopted in Kofu, Japan. During the experiment days, a set of Stated Preference (SP) data and Experiment Day (ED) data are obtained. SP data is frequently used to estimate a model of traffic demand. However, it is considered that there are some biases in SP data, and it works on the results estimated. In this paper, we propose a combined model with ED data and SP data for decreasing the effect of biases. The result of a case study and a sensitivity analysis indicates that the combined model has higher precision than a SP model, and is stable against the change of explanatory variables.
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Information
Published In
Traffic and Transportation Studies (2000)
Pages: 378 - 383
Copyright
© 2000 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
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ASCE Technical Topics:
- Analysis (by type)
- Automobiles
- Case studies
- Engineering fundamentals
- Highway transportation
- Infrastructure
- Methodology (by type)
- Models (by type)
- Parking facilities
- Research methods (by type)
- Sensitivity analysis
- Traffic engineering
- Traffic models
- Transportation engineering
- Transportation management
- Transportation studies
- Travel modes
- Travel patterns
- Vehicles
Authors
Affiliations
Hongzhi Guan
Doctor, Associate Professor, Transportation Research Center, Beijing Polytechnic University, No.100 Pingleyuan Chaoyang District, Beijing 100022, China.
Kazuo Nishii
Doctor, Professor, Yamanashi University, 400-8511 Taketa, Kofu, Japan.
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