Next Article in Journal
Differential Evolution of Farmers’ Livelihood Strategies since the 1980s on the Loess Plateau, China
Previous Article in Journal
The Origin of Dust Particles in Atmospheric Air in Krakow (Poland) (Atmospheric Background)
Article

Function Replacement Decision-Making for Parking Space Renewal Based on Association Rules Mining

by 1,2 and 3,*
1
College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China
2
Center for Balance Architecture, Zhejiang University, Hangzhou 310028, China
3
School of Spatial Planning and Design, Zhejiang University City College, Hangzhou 310015, China
*
Author to whom correspondence should be addressed.
Academic Editor: Thomas W. Sanchez
Land 2022, 11(2), 156; https://doi.org/10.3390/land11020156
Received: 7 December 2021 / Revised: 16 January 2022 / Accepted: 19 January 2022 / Published: 19 January 2022
Parking lots are typical urban spaces with a large total area and scattered distribution. With the development of smart cars and shared driving, parking demand is likely to decline. Thus, the reuse of existing parking spaces presents important opportunities and challenges in the process of the digital transformation of future cities. One of the key issues in the sustainable renewal of parking spaces is to make scientific decisions regarding the replacement of functions. Based on relevant data from the urban area of Hangzhou, this study analyzes the spatial co-location relationships between parking spaces and other urban points of interest (POIs). By mining the function association patterns, this research aims to establish a decision-making support model for the function replacement of parking spaces. The following conclusions are drawn: (1) based on charge, size, and affiliation, parking lots can be divided into eight categories; (2) parking lots of different charges, sizes, and affiliations differ in their spatial co-location relationships with POIs; and (3) most parking lots are suitable for catering services, followed by companies and commercial residences. The innovations of this research lie in providing scientific references for the renewal of urban fragmented spaces by mining urban function association rules at the microscale. View Full-Text
Keywords: parking space; function replacement; association rule; POIs; urban renewal parking space; function replacement; association rule; POIs; urban renewal
Show Figures

Figure 1

MDPI and ACS Style

Xia, B.; Ruan, Y. Function Replacement Decision-Making for Parking Space Renewal Based on Association Rules Mining. Land 2022, 11, 156. https://doi.org/10.3390/land11020156

AMA Style

Xia B, Ruan Y. Function Replacement Decision-Making for Parking Space Renewal Based on Association Rules Mining. Land. 2022; 11(2):156. https://doi.org/10.3390/land11020156

Chicago/Turabian Style

Xia, Bing, and Yichen Ruan. 2022. "Function Replacement Decision-Making for Parking Space Renewal Based on Association Rules Mining" Land 11, no. 2: 156. https://doi.org/10.3390/land11020156

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop