Impacts of Guidance Information and Disseminating Strategies on Parking Choice Behavior in Commercial Districts

Many studies have indicated that parking guidance systems can effectively improve the utilization of parking facilities and alleviate traffic congestion. This study aims at modeling the influence of various parking guidance information and its disseminating strategies provided by roadside Variable Message Sign (VMS) and mobile phone application (APP) on parking behavior in commercial districts. Stated Preference (SP) surveys were conducted through both the paper-based and the internet-based questionnaires. A total of 1, 209 valid questionnaires were successfully collected and used in this study. Based on the SP survey data, a Binary Logit model is first developed to interpret parking lot choice behavior. Then, a Multinomial Logit model and a Nested Logit model are estimated to explain choice behavior of parking lots and driving routes, respectively. Results show that the correlation between different routes to one parking lot is low, which means that parking lot and route are selected as an integral. Also, drivers have a relatively higher compliance rate for guidance information provided by the app, as compared with the VMS. Contributory factors of parking choice behavior were found to be parking rates, walking distance, parking distance and time, and vacant spaces in sequence. It was also found that disseminating strategies of traffic congestion, vacant spaces and parking lot recommendations have significant impacts on parking choice behavior. The findings can facilitate the design and optimization of parking guidance systems as well as dynamic traffic management under the influence of guidance information for urban road networks.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee ABE50 Standing Committee on Transportation Demand Management.
  • Corporate Authors:

    Transportation Research Board

  • Authors:
  • Conference:
  • Date: 2019


  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 8p

Subject/Index Terms

Filing Info

  • Accession Number: 01697905
  • Record Type: Publication
  • Report/Paper Numbers: 19-05584
  • Files: TRIS, TRB, ATRI
  • Created Date: Dec 7 2018 9:41AM