Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/10606
Title: Maximum car ownership under constraints of road capacity and parking space
Authors: Tam, ML
Lam, WHK 
Keywords: Bi-level programming
Car ownership
Issue Date: 2000
Publisher: Pergamon Press
Source: Transportation research. Part A. Policy and practice, 2000, v. 34, no. 3, p. 145-170 How to cite?
Journal: Transportation research. Part A. Policy and practice 
Abstract: This paper presents a model for determining the maximum number of cars by zones in view of the capacity of the road network and the number of parking spaces available. In other words, the proposed model is to examine whether existing road network and parking supply is capable of accomodating future zonal car ownership growth (or the reserve capacity in each zone); i.e. the potential maximum zonal car ownership growth that generates the road traffic within the network capacity and parking space constraints. In the proposed model, the vehicular trip production and attraction are dependent on the car ownership, available parking spaces and the accessibility measures by traffic zones. The model is formulated as a bi-level programming problem. The lower-level problem is an equilibrium trip distribution/assignment problem, while the upper-level problem is to maximize the sum of zonal car ownership by considering travellers' route and destination choice behaviour and satisfying the network capacity and parking space constraints. A sensitivity analysis based heuristic algorithm is developed to solve the proposed bi-level car ownership problem and is illustrated with a numerical example. (C) 2000 Elsevier Science Ltd. All rights reserved.This paper presents a model for determining the maximum number of cars by zones in view of the capacity of the road network and the number of parking spaces available. In other words, the proposed model is to examine whether existing road network and parking supply is capable of accommodating future zonal car ownership growth (or the reserve capacity in each zone); i.e. the potential maximum zonal car ownership growth that generates the road traffic within the network capacity and parking space constraints. In the proposed model, the vehicular trip production and attraction are dependent on the car ownership, available parking spaces and the accessibility measures by traffic zones. The model is formulated as a bi-level programming problem. The lower-level problem is an equilibrium trip distribution/assignment problem, while the upper-level problem is to maximize the sum of zonal car ownership by considering travellers' route and destination choice behavior and satisfying the network capacity and parking space constraints. A sensitivity analysis based heuristic algorithm is developed to solve the proposed bi-level car ownership problem and is illustrated with a numerical example.
URI: http://hdl.handle.net/10397/10606
ISSN: 0965-8564
DOI: 10.1016/S0965-8564(98)00070-6
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