Nonlinear model for impact of built environment on curb parking spaces occupancy

被引：0

作者：

Zhou, Xi-Zhen ^{[1
,2
]}

Gong, He ^{[3
]}

Li, Dun-Dun ^{[4
]}

Ji, Yan-Jie ^{[1
,2
]}

Yan, Jie ^{[1
,2
]}

机构：

[1] School of Transportation, Southeast University, Nanjing

[2] Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University, Nanjing

[3] Public Security Bureau of Changshu, Traffic Police Brigade, Changshu

[4] Genland Ipark Technology Co., Ltd., Changshu

来源：

Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) | 2024年 / 54卷 / 09期

关键词：

curb parking; engineering of communication and transportation system; non-linear impact; occupancy; quantile regression;

D O I：

10.13229/j.cnki.jdxbgxb.20221460

中图分类号：

学科分类号：

摘要：

To finely grasp the curb parking demand pattern at a micro-spatial scale,quantile regression models for two typical scenarios,namely workdays and weekends were proposed,to explore the nonlinear effects of land utilization,curb parking spaces,traffic factors,and socioeconomic and population on curb parking space occupancy. The results show that quantile regression is superior to linear regression in capturing the complex relationship between variables. And the coefficients and significance levels of explanatory variables change as the quantile changes. At the same time,there is an obvious heterogeneity between workdays and weekends. For example,the number of bus stations around the parking sites is closely related to the low and high occupancies,but this variable has no statistical significance under the medium occupancy. The catering services POIs do not significantly influence curb parking space occupancy on workdays. © 2024 Editorial Board of Jilin University. All rights reserved.

引用

页码：2520 / 2530

页数：10

共 34 条

[1] Mannini L, Cipriani E, Crisalli U, Et al., On-street parking search time estimation using FCD data, Transportation Research Procedia, 27, pp. 929-936, (2017)
[2] Arnott R, Williams P., Cruising for parking around a circle, Transportation Research Part B: Methodological, 104, pp. 357-375, (2017)
[3] Liu W, Zhang F, Yang H., Modeling and managing the joint equilibrium of destination and parking choices under hybrid supply of curbside and shared parking, Transportation Research Part C: Emerging Technologies, 130, (2021)
[4] Lam W H, Holyoak N M, Lo H P., How park-and-ride schemes can be successful in Eastern Asia, Journal of Urban Planning and Development, 127, 2, pp. 63-78, (2001)
[5] Liu W, Geroliminis N., Doubly dynamics for multimodal networks with park-and-ride and adaptive pricing, Transportation Research Part B: Methodological, 102, pp. 162-179, (2017)
[6] Zheng N, Geroliminis N., Modeling and optimization of multimodal urban networks with limited parking and dynamic pricing, Transportation Research Part B: Methodological, 83, pp. 36-58, (2016)
[7] Wang J, Wang H, Zhang X., A hybrid management scheme with parking pricing and parking permit for a many-to-one park and ride network, Transportation Research Part C: Emerging Technologies, 112, pp. 153-179, (2020)
[8] Chen Z, Spana S, Yin Y, Et al., An advanced parking navigation system for downtown parking, Networks and Spatial Economics, 19, 3, pp. 953-968, (2019)
[9] Zhang Wen-hui, Sun Shu-rui, Yu Qiu-ying, Et al., Study on the layout of in-road parking considering the balance between supply and demand, Forest Engineering, 36, pp. 91-96, (2020)
[10] Zhang Rong, Zhu Li-chao, Lin Jia-ni, Curb parking progressive charging pricing model of city center, Journal of Tongji University(Natural Science), 43, 1, pp. 90-95, (2015)

← 1 2 3 4 →