Analysis of the Influencing Factors of Differentiated Parking Fees Based on Structural Equation Modeling
Publication: Journal of Transportation Engineering, Part A: Systems
Volume 150, Issue 1
Abstract
This study proposes differentiated fees based on parking space attributes to regulate the turnover rate and utilization of parking spaces. To understand parkers’ willingness to pay differentiated parking fees, the study employs structural equation modeling to analyze data collected from a questionnaire that identifies the significant factors impacting parking space selection. The questionnaire also captures personal socioeconomic characteristics of drivers. The study uses K-means clustering to classify drivers based on their varying willingness to pay differentiated parking fees. Based on these results, the study establishes an appropriate price fluctuation range for different parking attributes. The study proposes measures to attract different types of drivers to select differentiated parking fees options. This approach can serve as a valuable reference for parking lot managers seeking to optimize their service capacity and revenue levels. In conclusion, this study presents a comprehensive and systematic approach to understanding the willingness of drivers to pay for differentiated parking fees.
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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
This research is supported by National Natural Science Foundation of China (No. 71971059).
Author contributions: Jun Chen directed this study and acquired the funding; Yuwei Yang designed the questionnaires; Yuwei Yang conducted the survey; Yuwei Yang analyzed the data, wrote and revised the paper; and Yuwei Yang reviewed and edited the paper.
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Published In
Journal of Transportation Engineering, Part A: Systems
Volume 150 • Issue 1 • January 2024
Copyright
© 2023 American Society of Civil Engineers.
History
Received: Apr 21, 2023
Accepted: Aug 28, 2023
Published online: Nov 8, 2023
Published in print: Jan 1, 2024
Discussion open until: Apr 8, 2024
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