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The Places–People Exercise: Understanding Spatial Patterns and the Formation Mechanism for Urban Commercial Fitness Space in Changchun City, China

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Listed:
  • Shibo Gao

    (School of Geographical Sciences, Northeast Normal University, Changchun 130024, China)

  • Chenggu Li

    (School of Geographical Sciences, Northeast Normal University, Changchun 130024, China)

  • Yuefang Rong

    (School of Architecture and Urban Planning, Beijing University of Civil Engineering and Architecture, Beijing 100044, China)

  • Qing Yan

    (College of Geographic Sciences, Changchun Normal University, Changchun 130032, China)

  • Wei Liu

    (School of Geographical Sciences, Northeast Normal University, Changchun 130024, China)

  • Zuopeng Ma

    (Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China)

Abstract

The fitness industry is rapidly developing due to the demand for fitness activities, and a large number of commercial fitness spaces have emerged in Changchun city. The distribution of commercial fitness spaces in the city is not chaotic; different types of fitness spaces should have different spaces to choose from. The purpose of this article is to summarize the spatial distribution characteristics and laws of urban commercial fitness spaces, to help better develop commercial fitness spaces. Using Changchun (a central city in northeastern China) as an example, the article divides commercial fitness spaces into five categories. Then, GIS tools are used to analyze the distribution patterns, level distributions, and agglomeration characteristics of commercial fitness spaces. The city’s commercial fitness space distribution patterns are subjected to further study, along with the influencing factors and forming mechanisms of the pattern. Moreover, based on the research results, this study provides targeted suggestions for the development of fitness spaces. The study found that the commercial fitness space in Changchun city has formed a multi-core spatial pattern. Various types of fitness spaces show significant spatial differentiation in many aspects, such as “center-periphery” characteristics, the spatial distribution form, and the specialized characteristics of each block unit. Fitness needs, national policies, transportation accessibility, spatial agglomeration, land rent, urban population distribution, etc., are the main factors affecting the spatial distributions of fitness spaces.

Suggested Citation

  • Shibo Gao & Chenggu Li & Yuefang Rong & Qing Yan & Wei Liu & Zuopeng Ma, 2022. "The Places–People Exercise: Understanding Spatial Patterns and the Formation Mechanism for Urban Commercial Fitness Space in Changchun City, China," Sustainability, MDPI, vol. 14(3), pages 1-22, January.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:3:p:1358-:d:733373
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    References listed on IDEAS

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    1. Tim Althoff & Rok Sosič & Jennifer L. Hicks & Abby C. King & Scott L. Delp & Jure Leskovec, 2017. "Large-scale physical activity data reveal worldwide activity inequality," Nature, Nature, vol. 547(7663), pages 336-339, July.
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    Cited by:

    1. Yong Jiang & Yangyang Liu & Zelei Liu & Chunwei Wang & Zhipeng Shi & Hongbo Zhao & Dongqi Sun & Wei Sun & Xiangquan Wang, 2022. "Spatial Distribution Characteristics of Public Fitness Venues: An Urban Accessibility Perspective," Sustainability, MDPI, vol. 15(1), pages 1-16, December.
    2. Yong Jiang & Chunwei Wang & Hongbo Zhao & Dongqi Sun & Zhipeng Shi & Jianhong (Cecilia) Xia, 2022. "Spatial Distribution Characteristics of Public Fitness Venues in the Main Urban Area of Dalian from the Perspective of Urban Accessibility," Sustainability, MDPI, vol. 14(19), pages 1-16, October.
    3. Yong Ma & Hang Li & Yun Tong, 2022. "Distribution Differentiation and Influencing Factors of the High-Quality Development of the Hotel Industry from the Perspective of Customer Satisfaction: A Case Study of Sanya," Sustainability, MDPI, vol. 14(11), pages 1-20, May.
    4. Bin Tian & Bin Meng & Juan Wang & Guoqing Zhi & Zhenyu Qi & Siyu Chen & Jian Liu, 2022. "Spatio-Temporal Patterns of Fitness Behavior in Beijing Based on Social Media Data," Sustainability, MDPI, vol. 14(7), pages 1-18, March.

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