Characterizing and Measuring the Environmental Amenities of Urban Recreation Leisure Regions Based on Image and Text Fusion Perception: A Case Study of Nanjing, China

Xiawei Chen, Ling Zhang, Zheyuan Zhao, Fengji Zhang, Shaojun Liu and Yi Long ()
Additional contact information
Xiawei Chen: Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing 210023, China
Ling Zhang: Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing 210023, China
Zheyuan Zhao: Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing 210023, China
Fengji Zhang: Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing 210023, China
Shaojun Liu: School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
Yi Long: Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing 210023, China

Land, 2023, vol. 12, issue 11, 1-25

Abstract: Quantitative evaluation of the environmental amenities (EAs) in urban recreation and leisure regions (URLRs) can provide stronger support for the government to enhance the quality of urban leisure space and improve the well-being of urban residents. Considering the diversity of leisure spaces and the complexity of environmental perception perspectives, this study proposes a comprehensive environmental measurement framework based on image and text fusion perception, which utilizes big data to perceive and quantify the EA features of URLRs comprehensively and efficiently. The study of the URLRs in Nanjing, China, was conducted as an empirical study. The results indicate the following: (1) When it comes to leisure environments, the top concerns for most people are service, hygiene, reputation, and walkability. (2) The EA level of URLRs in Nanjing generally decreases from the center to the outside and shows regional differentiation. (3) EA features in Nanjing’s URLRs exhibit a spatial pattern of similarity in the center and at each district’s edges. This study enhances our understanding of leisure regions’ environmental features that contribute to quality. The measurement results support understanding the spatial heterogeneity patterns of urban leisure activities and vibrancy. Furthermore, valuable urban planning and policy suggestions are made to promote sustainable urban development.

Keywords: environmental amenity; urban leisure region; environment perception; street view image; web comment text (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2073-445X/12/11/1998/pdf (application/pdf)
https://www.mdpi.com/2073-445X/12/11/1998/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jlands:v:12:y:2023:i:11:p:1998-:d:1271799

Access Statistics for this article

Land is currently edited by Ms. Carol Ma

More articles in Land from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().