Modeling the Curb Parking Price in Urban Center District of China Using TSM-RAM Approach
Joint Authors
Ma, Changxi
Zhou, Jibiao
Wan, Yan
He, Wenqiang
Source
Journal of Advanced Transportation
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-22, 22 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-07-17
Country of Publication
Egypt
No. of Pages
22
Main Subjects
Abstract EN
Parking demand forecasting is an important part of urban parking planning and is also an important basis for the development of parking facilities.
The primary objective of this study was to explore multiple factors that affect the curb parking price (CPP) and the changing rules of the curb parking price (CPP) with these factors and to predict the CPP in terms of urban mobility.
The data were collected through a statistical survey that was administered in 81 cities in China.
The cities were divided into three categories: rich cities (RCs), poor cities (PCs), and tourist cities (TCs).
Both the time series method (TSM) and regression analysis method (RAM) were developed to simultaneously examine the factors associated with the CPP among parking users.
The results showed that TSM and RAM can account for common urban curb parking prices.
The prediction results showed that the CPP is affected by the number of urban dwellers (UD), the prevalence of car ownership (CO), and the per capita disposable income (PCDI) of urban residents; the CPP can be predicted by a model built on the basis of the above three influencing factors.
The results can enhance our understanding of the factors that affect CPP.
Based on the results, some suggestions regarding the use of the CPP range in parking policy planning were discussed.
American Psychological Association (APA)
Wan, Yan& Zhou, Jibiao& He, Wenqiang& Ma, Changxi. 2020. Modeling the Curb Parking Price in Urban Center District of China Using TSM-RAM Approach. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-22.
https://search.emarefa.net/detail/BIM-1175681
Modern Language Association (MLA)
Wan, Yan…[et al.]. Modeling the Curb Parking Price in Urban Center District of China Using TSM-RAM Approach. Journal of Advanced Transportation No. 2020 (2020), pp.1-22.
https://search.emarefa.net/detail/BIM-1175681
American Medical Association (AMA)
Wan, Yan& Zhou, Jibiao& He, Wenqiang& Ma, Changxi. Modeling the Curb Parking Price in Urban Center District of China Using TSM-RAM Approach. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-22.
https://search.emarefa.net/detail/BIM-1175681
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1175681