Abstract How to set reasonable pricing for curbside parking, while balancing the demand for and the supply of parking spaces, is a troublesome problem for metropolitan areas such as Shanghai. This paper addresses this problem from the perspective of choice behaviour. Our research focuses on the parking charge cut-off point, which is the minimum or maximum acceptable value that a driver sets for an attribute. A multiple linear regression model reveals that older and inexperienced drivers are more likely to ignore the charge cut-off points they themselves have set. Discrete choice models incorporating charge cut-offs are further used to analyse charge implications for parking choice behaviour. Our results show that the precision of the conventional model is improved by including a cut-off. At the same time, parking charges, the time spent searching for a parking space, and walking time after finding the parking space, all have a significantly negative influence on parking choices. Finally, a pricing scheme is put forward to reduce the occupancy rates of curbside parking to 85%. This contention is based on parking pricing models with cut-offs. We find indications that not accounting for charge cut-off points, when they are in fact present, may lead to inaccurate willingness-to-pay and upwardly biased pricing schemes.

    Highlights Ignoring drivers’ acceptance for price will lead to upward biased pricing scheme. Drivers' preference for curb park will be reversed with the increase of walking time. Aged and less experienced drivers are easier to violate cutoff stated by themselves. Drivers are willing to pay more for reducing walking time, followed by search time. Drivers have higher price acceptance for curb park than garage park in Shanghai.


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    Titel :

    Curbside parking pricing in a city centre using a threshold


    Beteiligte:
    Zhang, Rong (Autor:in) / Zhu, Lichao (Autor:in)

    Erschienen in:

    Transport Policy ; 52 ; 16-27


    Erscheinungsdatum :

    2016-06-24


    Format / Umfang :

    12 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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