Research on the Distribution Factors of Urban Sports and Leisure Facilities in Suzhou City Based on Points of Interest

Jingyi Li

doi:10.62051/ijnres.v7n3.05

Authors

Jingyi Li

DOI:

https://doi.org/10.62051/ijnres.v7n3.05

Keywords:

Sports and Recreation Space; Spatial Layout; Influencing Factors; POI.

Abstract

Physical activity has been well documented to have substantial health benefits. The Report on the Health Status of the Chinese People 2020 noted that, as a result of the epidemic, there had been some changes in the exercise health status of the population, with the average number of steps taken by the Chinese people decreasing significantly, some people being touched by the epidemic to start exercising, and people becoming more concerned about their own health. Sports and leisure space is an indispensable and important part of the urban public service system, and it is the basic carrier and important engine of fitness activities for Chinese residents. Building a higher level of public service system for national fitness is not only an important foundation for promoting the comprehensive development of mass sports, but also an important guarantee for promoting the health of all people. In this paper, based on the POI data of National Geographic Information Resource Directory Service System, the spatial layout of outdoor recreation facilities in Suzhou City is researched by using Nearest neighbor index, Kernel density estimate, Standard deviational ellipse and other methods to summarize the pattern of the urban recreation space and its characteristics, and Multiple Linear Regression is also used to explore the factors influencing the spatial layout of urban recreation facilities. The spatial layout of outdoor recreation facilities in Suzhou City was studied by the methods of Kernel density estimate, Kernel density index, Standard deviational ellipse and so on, to summarize the pattern of urban recreation space, and to explore the influencing factors of the spatial layout of outdoor recreation facilities in Suzhou City by Multiple Linear Regression. The results show that: (1) the spatial distribution of sports and leisure facilities is characterized by "central aggregation and peripheral dispersion". (2) The directionality of the spatial distribution of sports and leisure facilities is not obvious, and the distribution range is more concentrated. (3) Suzhou's resident population, GDP and leisure industry have a significant impact on the density of sports and leisure facilities.

References

[1]Comber, A. J., Brunsdon, C., & Radburn, R. (2011). A spatial analysis of variations in health access: Linking geography, socio-economic status and access perceptions. International Journal of Health Geographics, 10(1), 44.

[2]Roux, A. V. D., Evenson, K. R., McGinn, A. P., Brown, D. G., Moore, L., Brines, S., & Jacobs, D. R. (2007). Availability of Recreational Resources and Physical Activity in Adults. American Journal of Public Health, 97(3), 493–499.

[3]Erkip, F. (1997). The distribution of urban public services: The case of parks and recreational services in Ankara. Cities, 14(6), 353–361.

[4]Talen, E. (1998). Visualizing Fairness: Equity Maps for Planners. Journal of the American Planning Association, 64(1), 22–38.

[5]Brownson, R. C., Hoehner, C. M., Day, K., Forsyth, A., & Sallis, J. F. (2009). Measuring the Built Environment for Physical Activity: State of the Science. American Journal of Preventive Medicine, 36(4, Supplement), S99-S123.e12.

[6]Lamb, K. E., Ferguson, N. S., Wang, Y., Ogilvie, D., & Ellaway, A. (2010). Distribution of physical activity facilities in Scotland by small area measures of deprivation and urbanicity. International Journal of Behavioral Nutrition and Physical Activity, 7(1), 76.

[7]Limstrand, T., & Rehrer, N. J. (2008). Young people’s use of sports facilities: A Norwegian study on physical activity. Scandinavian Journal of Public Health, 36(5), 452–459.

[8]Neutens, T., Schwanen, T., Witlox, F., & de Maeyer, P. (2010). Evaluating the Temporal Organization of Public Service Provision Using Space-Time Accessibility Analysis. Urban Geography, 31(8), 1039–1064.

[9]Higgs, G., Langford, M., & Norman, P. (2015). Accessibility to sport facilities in Wales: A GIS-based analysis of socio-economic variations in provision. Geoforum, Complete(62), 105–120.

[10]Lynch, H., Moore, A., Edwards, C., & Horgan, L. (2019). Advancing play participation for all: The challenge of addressing play diversity and inclusion in community parks and playgrounds. British Journal of Occupational Therapy, 83, 030802261988193.

[11]Lan, T., Yu, M., Xu, Z., & Wu, Y. (2018). Temporal and Spatial Variation Characteristics of Catering Facilities Based on POI Data: A Case Study within 5th Ring Road in Beijing. Procedia Computer Science, 131, 1260–1268.

[12]Shi, K., Chang, Z., Chen, Z., Wu, J., & Yu, B. (2020). Identifying and evaluating poverty using multisource remote sensing and point of interest (POI) data: A case study of Chongqing, China. Journal of Cleaner Production, 255, 120245.

[13]Zhai, Y., Wu, H., Fan, H., & Wang, D. (2018). Using mobile signaling data to exam urban park service radius in Shanghai: Methods and limitations. Computers, Environment and Urban Systems, 71, 27–40.

[14]van Lenthe, F. J., Brug, J., & Mackenbach, J. P. (2005). Neighbourhood inequalities in physical inactivity: The role of neighbourhood attractiveness, proximity to local facilities and safety in the Netherlands. Social Science & Medicine (1982), 60(4), 763–775.

[15]Lefever, D. W. (1926). Measuring Geographic Concentration by Means of the Standard Deviational Ellipse. American Journal of Sociology, 32(1), 88–94.

[16]Li, X., Li, Y., Jia, T., Zhou, L., & Hijazi, I. H. (2022). The six dimensions of built environment on urban vitality: Fusion evidence from multi-source data. Cities, 121, 103482.

[17]Xiao, T., Ding, T., Zhang, X., Tao, Z., & Liu, Y. (2022). Spatial Accessibility to Sports Facilities in Dongguan, China: A Multi-Preference Gaussian Two-Step Floating Catchment Area Method. Applied Spatial Analysis and Policy, 15(4), 1093–1114.

[18]Carlson, K., & Owen, A. (2021). Accessibility: Distribution across diverse populations. Journal of Transport and Land Use, 14(1), Article 1.

[19]Tabrizi, J., & Ghasemi, K. (2013). Analysis of spatial inequality of economic and social services in cities of Zanjan province. 4, 19–34.

[20]Yuan, Y., Li, Z., & Liang, H. (2019). Selection and Spatial Layout of Urban Sports Facilities Guided by Residents’ Demand. Open House International, 44(3), 9–12.