Research on Parking App Choice Behavior Based on MNL

With the concept of sharing economic entering into our lives, many parking Apps are designed for connecting the drivers and vacated parking spaces. However, there are not many drivers who use the mobile app to reserve and find available parking spaces, which is largely due to the insufficient information provided by the parking App. In order to better explain, predict and improve drivers’ choice of parking App, Multinomial Logit model was established to analyze the relationship between the drivers’ parking App choice behavior and influence factors. The influential factors include drivers’ individual characteristics and parking App attributes, which were extracted from the questionnaire and typical parking Apps currently in operation. The results show that the reservation and shared parking space, available parking space, parking charge and distance to destination are the main factors that determine the drivers’ choice of parking App. This paper provides a reference for the development of Ningbo parking Apps.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 21p

Subject/Index Terms

Filing Info

  • Accession Number: 01764951
  • Record Type: Publication
  • Report/Paper Numbers: TRBAM-21-01096
  • Files: TRIS, TRB, ATRI
  • Created Date: Dec 23 2020 11:25AM