Improving parking efficiency is essential to promoting the reform in urban transportation. But the large amount of deadweight costs caused by the parking is often underestimated because it is difficult to measure. Based on the existing investigations from the small fraction of cruising vehicles, this paper explores the influencing factors of the parking issue and describes it by the user equilibrium model. Then, two types of permit management schemes were proposed, lot-based and spot-based. By analyzing their performance in reducing system cost, three conclusions were drawn. Firstly, parking search leads to traveler’s schedule and location adjustments, raises the trip cost, reduces the parking lot occupancy, and makes the parking issues “invisible.” Secondly, permit scheme levels up managers’ control, and it performs well in reducing deadweight loss, but only by eliminating the search cost, the deadweight loss can be fundamentally reduced. Thirdly, reducing parking search needs information guidance; with the rapid growth of urban parking demand, managers should make a transition to the permit scheme with parking information.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Parking Permit Scheme for Morning Commute considering Parking Search


    Beteiligte:
    Duo Xu (Autor:in) / Huijun Sun (Autor:in)


    Erscheinungsdatum :

    2022




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt





    Managing morning commute traffic with parking

    Qian, Zhen (Sean) | Online Contents | 2012


    Tradable permit schemes for managing morning commute with carpool under parking space constraint

    Xiao, Ling-Ling / Liu, Tian-Liang / Huang, Hai-Jun | Online Contents | 2019


    Tradable permit schemes for managing morning commute with carpool under parking space constraint

    Xiao, Ling-Ling / Liu, Tian-Liang / Huang, Hai-Jun | Online Contents | 2019


    Optimal dynamic pricing for morning commute parking

    Qian, Zhen (Sean) / Rajagopal, Ram | Taylor & Francis Verlag | 2015