Parking policies are considered a powerful tool for solving parking problems as well as problems of the transportation system in general (traffic congestion, modal split, etc.). To define parking policy properly, its effects must be estimated and predicted. In this paper, based on stated preference data and using a logistic regression, a model to predict the effects of introducing or changing the parking price and time limitation was developed. The results show that parking prices affect car usage, while time limitations determine the type of parking used (on-street or off-street). A positive finding for policy makers is that users with work are more sensitive to parking measures than are other users, so parking measures can be used to manage user categories. Although there is a concern that parking policy can jeopardise the attractiveness and efficiency of a zone, the results show that a very small number of users would give up travelling into the zone. (C) 2013 Elsevier Ltd. All rights reserved.
机构:
NYU, Wagner Grad Sch Publ Serv, Rudin Ctr Transportat Policy & Management, New York, NY 10012 USANYU, Wagner Grad Sch Publ Serv, Rudin Ctr Transportat Policy & Management, New York, NY 10012 USA
机构:
School of Economics and Management, Beijing University of Aeronautics and Astronautics, Beijing 100083, ChinaSchool of Economics and Management, Beijing University of Aeronautics and Astronautics, Beijing 100083, China School of Management, Fudan University, Shanghai 200433, China
黄海军
林兴强
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机构:
Department of Civil and Structural Engineering, the Hong Kong Polytechnic University, Hong Kong, ChinaSchool of Economics and Management, Beijing University of Aeronautics and Astronautics, Beijing 100083, China School of Management, Fudan University, Shanghai 200433, China
林兴强
黄仕进
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机构:
Department of Civil Engineering, the University of Hong Kong, Hong Kong, ChinaSchool of Economics and Management, Beijing University of Aeronautics and Astronautics, Beijing 100083, China School of Management, Fudan University, Shanghai 200433, China