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The Impact of Spatial Distribution of Commercial Facilities in Communities on Residents’ Walking-Based Consumption Behavior: A Case Study in Wuhan, China

Author

Listed:
  • Qiang Niu

    (School of Urban Design, Wuhan University, 299 Bayi Road, Wuchang District, Wuhan 420072, China)

  • Haihan Qu

    (Sam Fox School of Design & Visual Arts, Washington University in Saint Louis, Saint Louis, MO 63130-4899, USA)

  • Xuerui Niu

    (School of Urban Design, Wuhan University, 299 Bayi Road, Wuchang District, Wuhan 420072, China)

  • Jie Zhao

    (School of Urban Design, Wuhan University, 299 Bayi Road, Wuchang District, Wuhan 420072, China)

  • Zhigang Li

    (School of Urban Design, Wuhan University, 299 Bayi Road, Wuchang District, Wuhan 420072, China)

  • Jie Zhou

    (School of Urban Design, Wuhan University, 299 Bayi Road, Wuchang District, Wuhan 420072, China)

Abstract

With the development of residential communities, commercial facilities serving the residents first emerged spontaneously inside of the communities and later were planned as a supporting component on the fringe but outside of the communities. Thus, two patterns in the distribution of commercial facilities can be found in their spatial relations to the communities they serve, namely, internal distribution and external fringe distribution. Previous debates on these two distribution patterns tend to focus more on the differences in community vitality, environmental quality, community security, etc., but less on the impact of spatial distribution of commercial facilities on residents’ walking-based consumption behavior which affects the quality of life of residents, their physical health, and their social interaction and communication. Therefore, the study conducts a quantitative, empirical, comparative study of the walking-based consumption behavior of residents in two communities, which are located across the street from one another, share similar conditions, but have totally different patterns in the distribution of commercial facilities. The results of analysis show that compared with residents living in a residential community with an external fringe distribution of commercial facilities, those who can access commercial facilities within their community have a shorter walking distance, stronger local consumption willingness, higher frequency, and shorter travel chain to use these facilities, resulting in distinctly different features in their respective walking-based consumption behavior in the communities. A further binary logistic regression analysis shows that the shorter travel distance by foot in a community with internal facilities is the root cause of the above differences, and travel distance significantly affects walking-based consumption behavior. This conclusion strongly supports the internal distribution of commercial facilities in residential communities, which bears practical significance for promoting the vitality and the robust development of communities.

Suggested Citation

  • Qiang Niu & Haihan Qu & Xuerui Niu & Jie Zhao & Zhigang Li & Jie Zhou, 2018. "The Impact of Spatial Distribution of Commercial Facilities in Communities on Residents’ Walking-Based Consumption Behavior: A Case Study in Wuhan, China," Sustainability, MDPI, vol. 10(10), pages 1-16, October.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:10:p:3601-:d:174517
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    1. Jiawen Yang & Steven French, 2013. "The Travel—Obesity Connection: Discerning the Impacts of Commuting Trips with the Perspective of Individual Energy Expenditure and Time Use," Environment and Planning B, , vol. 40(4), pages 617-629, August.
    2. Thirayoot Limanond & Debbie Niemeier, 2004. "Effect of land use on decisions of shopping tour generation: A case study of three traditional neighborhoods in WA," Transportation, Springer, vol. 31(2), pages 153-181, May.
    3. M. Sirgy & Don Rahtz & Muris Cicic & Robert Underwood, 2000. "A method for assessing residents' satisfaction with community-based services: a quality-of-life perspective," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 49(3), pages 279-316, March.
    4. Wood, Lisa & Frank, Lawrence D. & Giles-Corti, Billie, 2010. "Sense of community and its relationship with walking and neighborhood design," Social Science & Medicine, Elsevier, vol. 70(9), pages 1381-1390, May.
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    1. Xuewen Zhou & Xiaoxia Zhang & Zhimei Dai & Roosmayri Lovina Hermaputi & Chen Hua & Yonghua Li, 2021. "Spatial Layout and Coupling of Urban Cultural Relics: Analyzing Historical Sites and Commercial Facilities in District III of Shaoxing," Sustainability, MDPI, vol. 13(12), pages 1-20, June.

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