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Title:

Data-Driven Assessment of Private Parking Spot Sharing Effects from Individual and Social Benefit Perspectives

Accession Number:

01659732

Record Type:

Component

Abstract:

Making private parking spots useable to public is becoming popular in big cities in China. Sharing of private parking spots can promote the use of parking space and improve the utility of parking resource in urban metropolitan areas. However, little is known about the relationship between spots’ physical-temporal factors and rental effects. This study aims to evaluate the effects of private parking spot share from both individual and social benefit perspectives. One-year real behavioral records of parking spots’ owners and borrowers were obtained from a popular parking App named “Ding Ding Parking” (DParking), and the field survey of spots’ physical characteristics was conducted. Two Partial Least Squares Structural Equation Modeling (PLS-SEM) models were adopted to analyze the data. Results show that spots’ physical factors, including spot type, visibility, easiness for parking, and distances to major surrounding buildings, along with owners’ sharing willingness and habits, pose significant influences on the rental effects from both individual and social benefit perspectives. Some differences are also found between the two models. For the individual model, owners’ sharing willingness is the dominant factor affecting the parking spot sharing effects. While for the social model, spots’ physical characteristics are more important in determining the sharing effects. Based on the findings, suggestions were discussed to promote private parking spot sharing and increase the sharing benefits to individuals and society.

Supplemental Notes:

This paper was sponsored by TRB committee ABC10 Standing Committee on Strategic Management.

Report/Paper Numbers:

18-02671

Language:

English

Authors:

Zhang, Chu
Chen, Jun
Li, Zhibin
Ye, Xiaofei
Xiao, Fei

Pagination:

6p

Publication Date:

2018

Conference:

Transportation Research Board 97th Annual Meeting

Location: Washington DC, United States
Date: 2018-1-7 to 2018-1-11
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Uncontrolled Terms:

Geographic Terms:

Subject Areas:

Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting; Policy; Society

Source Data:

Transportation Research Board Annual Meeting 2018 Paper #18-02671

Files:

TRIS, TRB, ATRI

Created Date:

Jan 8 2018 10:38AM