Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/32972
Title: Modeling an elastic-demand bimodal transport network with park-and-ride trips
Authors: Lam, WHK 
Li, Z
Wong, SC
Zhu, D
Keywords: Elastic demand
Network equilibrium
Park-and-ride
Variational inequality
Issue Date: 2007
Publisher: Tsinghua University
Source: Tsinghua science and technology (清华大学学报自然科学版) (英文版), 2007, v. 12, no. 2, p. 158-166 How to cite?
Journal: Tsinghua science and technology (清华大学学报自然科学版) (英文版) 
Abstract: This paper presents a network equilibrium formulation for modeling commuters' travel choices in a bimodal transport system with park-and-ride (P&R) trips while the total demand is elastic to the congestion level of the network. A super-network approach is adopted in the proposed model. It is assumed that commuters' trips are categorized into two types, auto mode only and a combined mode with both auto and transit modes. The former is referred to as the pure mode trip and the latter as the P&R mode trip. The proposed model simultaneously considers the commuter's choice of the pure mode versus the P&R mode, the choice of parking location for the pure mode, the choice of transfer point for the P&R mode, as well as the route choice for each mode. The demand elasticity of transport system, the capacity constraints of transport facilities, and the congestion interaction throughout the super-network are also explicitly incorporated into the proposed model. The results of the numerical experiment show the following key findings: (i) traditional parking/P&R models may overestimate or underestimate travel demand distribution over network; (ii) parking/P&R, transit scheduling, and carpooling schemes bring significant impacts on commuters' travel behavior and network performance; and (iii) different transport policies may be to some extent mutually substituted.
URI: http://hdl.handle.net/10397/32972
ISSN: 1007-0214
DOI: 10.1016/S1007-0214(07)70023-8
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