Association of Environmental Elements with Respondents’ Behaviors in Open Spaces Using the Direct Gradient Analysis Method: A Case Study of Jining, China
Jing Zhao,
Linshen Wang,
Qing Ye,
Qiang Zhao and
Shutong Wei
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Jing Zhao: School of Civil Engineering and Architecture, University of Jinan, Jinan 250022, China
Linshen Wang: School of Civil Engineering and Architecture, University of Jinan, Jinan 250022, China
Qing Ye: School of Architecture and Art Design, Hebei University of Technology, Tianjin 300132, China
Qiang Zhao: Tianjin Bureau of Planning and Natural Resources, Tianjin 300042, China
Shutong Wei: School of Civil Engineering and Architecture, University of Jinan, Jinan 250022, China
IJERPH, 2022, vol. 19, issue 14, 1-15
Abstract:
Following rapid urban development, higher demands are now being placed on urban open spaces in China, and the relationship between environmental elements and respondents’ behaviors in open spaces has become a common concern for researchers. Current research using geographic information systems has yielded macroscopic portraits of the behavioral trends and outcomes of research subjects, but evaluating their actual needs is complex. This paper proposes a new method to analyze the relationship between open spaces and respondents’ behaviors from a detailed perspective. Direct gradient analysis was employed with stratified sampling to select sample points in open spaces. Environment quality, ancillary facilities, and canal culture were selected as subjective evaluation factors. The greatest advantage of the proposed procedure is that it produces a ranking diagram, which compensates for the shortcomings of research methods that cannot directly express the actual needs related to respondents’ behaviors. From a case study in Jining, China, a location’s environmental quality and ancillary facilities were found to have the greatest influence on the behaviors of those using open spaces. Finally, strategies for improving environmental quality in open spaces are proposed.
Keywords: direct gradient analysis; open space; respondents’ behavior; environmental elements; GIS (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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