Spatial Distribution Characteristics of Public Fitness Venues in the Main Urban Area of Dalian from the Perspective of Urban Accessibility

Yong Jiang, Chunwei Wang, Hongbo Zhao (), Dongqi Sun (), Zhipeng Shi and Jianhong (Cecilia) Xia
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Yong Jiang: School of Physical Education, Liaoning Normal University, No. 850 Huanghe Road, ShaHekou District, Dalian 116029, China
Chunwei Wang: School of Physical Education, Liaoning Normal University, No. 850 Huanghe Road, ShaHekou District, Dalian 116029, China
Hongbo Zhao: School of Physical Education, Liaoning Normal University, No. 850 Huanghe Road, ShaHekou District, Dalian 116029, China
Dongqi Sun: Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
Zhipeng Shi: School of Physical Education, Liaoning Normal University, No. 850 Huanghe Road, ShaHekou District, Dalian 116029, China
Jianhong (Cecilia) Xia: School of Earth and Planetary Sciences (EPS), Curtin University, Perth, WA 6102, Australia

Sustainability, 2022, vol. 14, issue 19, 1-16

Abstract: In the context of the Healthy China initiative, studying the spatial distribution characteristics of urban sports venues will benefit sports venue planning in cities and promote the health of urban residents. Therefore, considering the main urban area of Dalian City as the study area, in this study, we investigated the spatial distribution characteristics of fitness venues and their accessibility through spatial and buffer zone analyses using data of public fitness venues, school sports venues, and the traffic road network. The conclusion is as follows: (1) In Zhongshan, Xigang, and Shahekou Districts, public fitness venues are more densely distributed in non-coastal areas. (2) Within 0–15 min, Xigang District showed the highest ratio of the public fitness venue service area (24.42%), which was followed by Shahekou (19.02%), Zhongshan (17.13%), and Ganjingzi Districts (4.82%). (3) The number of sports venues increased from 272 to 1117 when school sports venues were considered. Due to this, the service area ratio of fitness venues in all districts was increased, and the ranking was also changed. After this, Shahekou District had the highest ratio of the sports and fitness venue service area (55.65%), which was followed by Xigang (48.43%), Zhongshan (35.68%), and Ganjingzi Districts (11.91%). Therefore, solutions to introduce more school sports venues should be investigated to ensure a uniform spatial distribution of urban fitness venues. This study provides a reference to plan and develop fitness venues in cities.

Keywords: public fitness venues; spatial distribution characteristics; service area ratio; accessibility; Dalian City (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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