Chapter
Jul 2, 2019
Modelling for Joint Urban Parking Charge and Park-and-Ride Scheme in a Multimodal Transport Network
Authors: Zhongqi Yuan [email protected], Xinyuan Chen [email protected], Zhiyuan Liu [email protected], and Wei Wang [email protected]Author Affiliations
Publication: CICTP 2019
Abstract
With the increase of car ownership in recent years, it is a challenge to manage limited parking resource in urban neighborhoods. As an important means of traffic demand management measures, park-and-ride (P&R) is recognized to have the potential to attract drivers to ride, and thus mitigate traffic demand in congested areas, e.g., city center. This paper models the network equilibrium problem in a multimodal transport network with a joint urban parking charging and park-and-ride scheme. The multimodal transport system has three travel modes: car, bus, and P&R. We established a traffic mode choice model based on logit stochastic equilibrium based on the bottleneck model. The influence of the distance between the starting point to the P&R site is considered in this model. In addition, this paper considers the effects of income level to different travel modes. Numerical experiments are used to validate the proposed model and solution algorithm.
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© 2019 American Society of Civil Engineers.
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Published online: Jul 2, 2019
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Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast Univ., Nanjing, Jiangsu 210096, China. E-mail: [email protected]
Dept. of Civil Engineering, Institute of Transport Studies, Monash Univ., Australia. E-mail: [email protected]
Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast Univ., Nanjing, Jiangsu 210096, China. E-mail: [email protected]
Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast Univ., Nanjing, Jiangsu 210096, China. E-mail: [email protected]
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