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A Study on the Impact of Built Environment Elements on Satisfaction with Residency Whilst Considering Spatial Heterogeneity

Author

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  • Qi Chen

    (College of Civil Engineering, Henan University of Technology, Zhengzhou 450001, China
    College of Traffic & Transportation, Chongqing Jiaotong University, Chongqing 400074, China)

  • Yibo Yan

    (College of Civil Engineering, Henan University of Technology, Zhengzhou 450001, China)

  • Xu Zhang

    (College of Civil Engineering, Henan University of Technology, Zhengzhou 450001, China)

  • Jian Chen

    (College of Traffic & Transportation, Chongqing Jiaotong University, Chongqing 400074, China
    Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Nanjing 211189, China)

Abstract

The built environment, as perceived and felt by human beings, can shape and affect residential satisfaction. From the perspective of municipal administrators, understanding the building environment and its relationship with people’s residential satisfaction is crucial to improving people’s living environment. This study examines the correlation between built environment elements and residential satisfaction using the consideration of spatial heterogeneity of such a correlation. Machine vision technology is introduced to quantify the design dimension of the built environment. The method of multiscale geographically weighted regression is used to evaluate the relationship between built environment and residential satisfaction and to analyze the spatial heterogeneity in the influencing effects. This empirical study draws on 399 collected samples from the residents of Zhengzhou, China. The results show that elements of the built environment, including street space design features, have a significant effect on people’s residential satisfaction in Zhengzhou City. The factors of functional diversity and distance to the city center show spatial heterogeneity in influencing effects on residential satisfaction. The results of this study could help municipal managers to improve people’s residential satisfaction in Zhengzhou City through the development of urban renewal policies.

Suggested Citation

  • Qi Chen & Yibo Yan & Xu Zhang & Jian Chen, 2022. "A Study on the Impact of Built Environment Elements on Satisfaction with Residency Whilst Considering Spatial Heterogeneity," Sustainability, MDPI, vol. 14(22), pages 1-14, November.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:22:p:15011-:d:971504
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    References listed on IDEAS

    as
    1. Ding, Chuan & Cao, Xinyu & Wang, Yunpeng, 2018. "Synergistic effects of the built environment and commuting programs on commute mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 104-118.
    2. Mouratidis, Kostas, 2019. "Built environment and leisure satisfaction: The role of commute time, social interaction, and active travel," Journal of Transport Geography, Elsevier, vol. 80(C).
    3. Gallego, Francisco & Montero, Juan-Pablo & Salas, Christian, 2013. "The effect of transport policies on car use: Evidence from Latin American cities," Journal of Public Economics, Elsevier, vol. 107(C), pages 47-62.
    4. Liu, Yudi & Nath, Nabamita & Murayama, Akito & Manabe, Rikutaro, 2022. "Transit-oriented development with urban sprawl? Four phases of urban growth and policy intervention in Tokyo," Land Use Policy, Elsevier, vol. 112(C).
    5. Olfindo, Rosechin, 2021. "Transport accessibility, residential satisfaction, and moving intention in a context of limited travel mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 145(C), pages 153-166.
    6. Jiacheng Jiao & John Rollo & Baibai Fu & Chunlu Liu, 2021. "Exploring Effective Built Environment Factors for Evaluating Pedestrian Volume in High-Density Areas: A New Finding for the Central Business District in Melbourne, Australia," Land, MDPI, vol. 10(6), pages 1-17, June.
    7. Yanhong Yin & Yuanwen He & Lei Zhang & Dan Zhao, 2019. "Impact of Building Environment on Residential Satisfaction: A Case Study of Ningbo," Sustainability, MDPI, vol. 11(4), pages 1-13, February.
    8. Tao Zhang & Yibo Yan & Qi Chen & Ze Liu, 2022. "Evaluation Method of Composite Development Bus Terminal Using Multi-Source Data Processing," Land, MDPI, vol. 11(10), pages 1-14, October.
    9. Sai Wang & Jianjun Wang & Weijia Li & Jialin Fan & Mingyu Liu & Giulio E. Cantarella, 2022. "Revealing the Influence Mechanism of Urban Built Environment on Online Car-Hailing Travel considering Orientation Entropy of Street Network," Discrete Dynamics in Nature and Society, Hindawi, vol. 2022, pages 1-15, February.
    10. Ding, Chuan & Cao, Xinyu (Jason) & Næss, Petter, 2018. "Applying gradient boosting decision trees to examine non-linear effects of the built environment on driving distance in Oslo," Transportation Research Part A: Policy and Practice, Elsevier, vol. 110(C), pages 107-117.
    11. Teng Zhong & Guonian Lü & Xiuming Zhong & Haoming Tang & Yu Ye, 2020. "Measuring Human-Scale Living Convenience through Multi-Sourced Urban Data and a Geodesign Approach: Buildings as Analytical Units," Sustainability, MDPI, vol. 12(11), pages 1-19, June.
    12. Lingzhu Zhang & Yu Ye & Wenxin Zeng & Alain Chiaradia, 2019. "A Systematic Measurement of Street Quality through Multi-Sourced Urban Data: A Human-Oriented Analysis," IJERPH, MDPI, vol. 16(10), pages 1-24, May.
    13. Lucas, Karen & Philips, Ian & Mulley, Corinne & Ma, Liang, 2018. "Is transport poverty socially or environmentally driven? Comparing the travel behaviours of two low-income populations living in central and peripheral locations in the same city," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 622-634.
    14. Ping Wen & Jiting Zhang & Suhong Zhou, 2022. "Social Group Differences in Influencing Factors for Chinese Urban Residents’ Subjective Well-Being: From the Perspective of Social Stratification," IJERPH, MDPI, vol. 19(15), pages 1-12, July.
    15. A. Stewart Fotheringham & Wenbai Yang & Wei Kang, 2017. "Multiscale Geographically Weighted Regression (MGWR)," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 107(6), pages 1247-1265, November.
    16. Yi Lu & Guibo Sun & Chinmoy Sarkar & Zhonghua Gou & Yang Xiao, 2018. "Commuting Mode Choice in a High-Density City: Do Land-Use Density and Diversity Matter in Hong Kong?," IJERPH, MDPI, vol. 15(5), pages 1-13, May.
    17. Jiandong Peng & Jiajie Qi & Changwei Cui & Jinming Yan & Qi Dai & Hong Yang, 2021. "Research on the Impact of the Built Environment on the Characteristics of Metropolis Rail Transit School Commuting—Take Wuhan as an Example," IJERPH, MDPI, vol. 18(18), pages 1-18, September.
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    Cited by:

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