Influence of Driver Factors on On-Street Parking Choice: Evidence from a Hybrid SP–RP Survey with Binary Logistic Analysis
Source abstract
Abstract
This study investigates the influence of driver-related factors on on-street parking choice by integrating stated preference (SP) and revealed preference (RP) survey methods. A hybrid SP–RP survey was designed to simulate realistic parking scenarios, and 423 valid questionnaires were collected online and offline. Key factors affecting parking choice were identified through descriptive analysis, including user acceptance of differentiated pricing and satisfaction with existing policies. The Kaiser–Meyer–Olkin (KMO = 0.904) and Bartlett’s test (p < 0.001) confirmed data suitability for factor analysis. A binary logistic regression model was developed to quantify variable effects under different travel purposes. Key findings include the following: monthly parking fee had the strongest effect (OR = 6.691, p = 0.010) on parking choice for shopping/entertainment trips; model prediction accuracy ranged from 80.87% to 83.56% across travel purposes; and goodness-of-fit metrics were strong (McFadden R2 = 0.630, Nagelkerke R2 = 0.772). The results provide empirical evidence on parking choice determinants and support the design of demand-responsive parking policies through dynamic and differentiated pricing strategies.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Smart Parking Systems Research · Urban Transport and Accessibility · Transportation and Mobility Innovations
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Mechanical Engineering, Xinjiang University, Urumqi 830049, China
School of Business, Xinjiang University, Urumqi 830049, China
College of Transportation, Tongji University, Shanghai 201804, China
Business School, University of Shanghai for Science and Technology, Shanghai 200093, China
School of Traffic and Transportation Engineering, Xinjiang University, Urumqi 830049, China
Funding
National Science and Technology Major Project of China · National Natural Science Foundation of China · Hunan Provincial Natural Science Foundation of China
References (29)
Show source-provided references
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