The Influencing Mechanism of the Communities’ Built Environment on Residents’ Subjective Well-Being: A Case Study of Beijing

Yunan Lin, Hongpeng Fu (), Qikang Zhong (), Zitu Zuo, Sihong Chen, Ziqiang He and Hao Zhang
Additional contact information
Yunan Lin: School of Design & Arts, Beijing Institute of Technology, Beijing 102488, China
Hongpeng Fu: Khoury College of Computer Science, Northeastern University, Seattle, WA 98122, USA
Qikang Zhong: School of Architecture and Art, Central South University, Changsha 410083, China
Zitu Zuo: Blue Guard Co., Ltd., Chongqing 400000, China
Sihong Chen: School of Communication, Royal College of Art, London W12 0DD, UK
Ziqiang He: School of Design & Arts, Beijing Institute of Technology, Beijing 102488, China
Hao Zhang: School of Design & Arts, Beijing Institute of Technology, Beijing 102488, China

Land, 2024, vol. 13, issue 6, 1-21

Abstract: There is a consensus toward quantitative environmental design in the information age, but the content and specific practices of its quantification have yet to be systematically studied. To enhance residents’ subjective well-being through environmental design, this study includes 847 valid questionnaires across four types of communities and identifies different types of resident groups using correspondence analysis. Then, this study compares the differences in the built environment and subjective well-being using one-way ANOVA and analyzes their impact via regression analysis. The results indicate that residents in old communities have the highest subjective well-being (3.93/5) and built environment assessments, and residents in policy housing communities have the lowest subjective well-being (3.37/5) and built environment assessments. A resident’s subjective well-being is more influenced by two types of built environment factors: architecture and landscape and the human–land relationship. Age, education level, public place usage, and the community’s overall evaluation also significantly affect residents’ subjective well-being. In the information age, quantitative design is the inevitable direction of future design. Through quantitative research, targeted design strategies can be proposed to serve community residents better in their communities and provide references for communities in other developing countries.

Keywords: built environment; subjective well-being; population differences; environmental design; quality of life (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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