A Study on the Cognition of Urban Spatial Image at Community Scale: A Case Study of Jinghu Community in Zhengzhou City

Xiaowen Zhou, Hongwei Li (), Huili Zhang, Rongrong Zhang and Huan Li
Additional contact information
Xiaowen Zhou: School of Geoscience and Technology, Zhengzhou University, Zhengzhou 450001, China
Hongwei Li: School of Geoscience and Technology, Zhengzhou University, Zhengzhou 450001, China
Huili Zhang: School of Geoscience and Technology, Zhengzhou University, Zhengzhou 450001, China
Rongrong Zhang: School of Geoscience and Technology, Zhengzhou University, Zhengzhou 450001, China
Huan Li: School of Geoscience and Technology, Zhengzhou University, Zhengzhou 450001, China

Land, 2022, vol. 11, issue 10, 1-23

Abstract: The community is the basic spatial unit for urban residents to live and rest. It is a crucial direction of city image research to explore people’s cognitive characteristics of community space image. Aiming at the lack of cognitive quantification of community spatial images, a new method that can quantify community spatial data into cognitive results is proposed. By employing spatial analysis tools, eleven spatial indicators from the perspective of community spatial form and spatial services are selected, and an image structure is constructed based on the characteristics of the indicator results. The results of multiple indicators are organized through the improved technique for order preference by similarity to ideal solution (TOPSIS) and overlay analysis method to produce a spatial image map of the community. The study displays that the spatial image characteristics of the community scale can be comprehensively expressed through three types of elements: district, path (edge), and node (landmark). These three types of elements constitute the image structure at the community scale and present apparent elements’ characteristics. This scrutiny is also aimed to demonstrate the construction and use process of the methodology and to provide new ideas for the cognitive research of urban spatial image at the community scale.

Keywords: community scale; city image; image cognition; spatial analysis; TOPSIS model (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/2073-445X/11/10/1654/pdf (application/pdf)
https://www.mdpi.com/2073-445X/11/10/1654/ (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:11:y:2022:i:10:p:1654-:d:924841

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 ().