Maximum car ownership under constraints of road capacity and parking space |
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| Institution: | 1. Urban Mobility Institute, Tongji University, Shanghai, China;2. Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai, China;3. Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong, China;4. The Hong Kong Polytechnic University Shenzhen Research Institute, Shenzhen, Guangdong, PR China;1. Department of Civil Engineering-Transportation, Faculty of Technical and Engineering, Imam Khomeini International University (IKIU), Qazvin 34148-96818, Iran;2. Research Centre for Integrated Transport Innovation (rCITI), School of Civil and Environmental Engineering, University of New South Wales, Sydney, NSW 2052, Australia;3. Department of Industrial Engineering, Sharif University of Technology, Tehran 14588-89694, Iran;1. Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast University, China;2. Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong;3. Department of Logistics & Maritime Studies, The Hong Kong Polytechnic University, Kowloon, Hong Kong |
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| 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 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 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. |
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