Technical Papers
Sep 18, 2024

Research on Parking Space Choice Behavior Based on Logit Models

Publication: Journal of Urban Planning and Development
Volume 150, Issue 4

Abstract

Previous studies have primarily focused on off-street parking lots, leveraging parking fees to reduce search time and enhance socioeconomic benefits. However, existing research overlooks the examination of parkers’ choice behavior within a single parking lot and fails to incorporate differential parking fees in analyzing the choices of individual parking spaces. To this end, this study introduces the multinomial logit and mixed logit models to explore the influence of variables on parkers’ choice of parking spaces. Moreover, the marginal willingness to pay is calculated for the four variables (i.e., parking fee, mechanical space, walking time, and search time) for work and recreation purposes to determine how much parkers are willing to spend for them. The results show that all four variables have a significant negative effect on parker’s choice, and mechanical parking space is core for parkers.

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Data Availability Statement

All data, models, and codes generated or used during the study appear in the published article.

Acknowledgments

This research is supported by the National Natural Science Foundation of China (Nos. 71971059 and 52302388) and the National Science Foundation of Jiangsu Province (BK20230853).
Author contributions: The authors confirm contribution to the study as follows: study conception and design: Yuwei Yang and Jun Chen; data collection: Yuwei Yang and Jun Chen; analysis and interpretation of results: Yuwei Yang; and draft manuscript preparation: Yuwei Yang. All authors reviewed the results and approved the final version of the manuscript.

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Go to Journal of Urban Planning and Development
Journal of Urban Planning and Development
Volume 150Issue 4December 2024

History

Received: Oct 15, 2023
Accepted: Apr 11, 2024
Published online: Sep 18, 2024
Published in print: Dec 1, 2024
Discussion open until: Feb 18, 2025

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Authors

Affiliations

Yuwei Yang
College of General Aviation Flight, Nanjing Univ. of Aeronautics Astronautics, Nanjing 211189, China; School of Transportation, Southeast Univ., Nanjing 211189, China; Jiangsu Key Laboratory of Urban ITS, Southeast Univ., Nanjing 211189, China; Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast Univ., Nanjing 211189, China.
School of Transportation, Southeast Univ., Nanjing 211189, China; Jiangsu Key Laboratory of Urban ITS, Southeast Univ., Nanjing 211189, China; Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast Univ., Nanjing 211189, China (corresponding author). Email: [email protected]

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