Shared parking is rapidly promoted as an essential way to alleviate parking problems. However, a challenge lies in how to improve the acceptance of shared parking. In this paper, travelers are allowed to choose between destination parking and shared parking. Firstly, a Cumulative Prospect Theory-based decision model for travelers’ parking choice is proposed. Then, we develop an optimization model for shared parking space allocation considering parking choice behavior, in which rejection of allocation results is considered. Numerical experiments demonstrate that (1) the proposed optimal allocation model has good performance in improving the utilization rate, especially under large requests quantities. (2) under the optimal model, the allocation results are more likely to be accepted by travelers. Significantly less travelers reject the allocation results. (3) the parking rate has great impact in the allocation results. It is suggested that managers can encourage travelers to accept shared parking by reducing parking rates appropriately.


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    Title :

    Optimal Allocation of Shared Parking Spaces Considering Parking Choice Behavior under Parking Uncertainty


    Contributors:

    Conference:

    22nd COTA International Conference of Transportation Professionals ; 2022 ; Changsha, Hunan Province, China


    Published in:

    CICTP 2022 ; 1789-1800


    Publication date :

    2022-09-08




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English