Author(s)

HaiYu Li¹, Dan Li², MoFei Chi^1*

Affiliation(s)

¹Xi'an University of Architecture and Technology Huaqing College, Xi'an 710000, Shaanxi, China.

²Xi'an Institute of Archaeology, Xi'an 710000, Shaanxi, China.

Corresponding Author

MoFei Chi

ABSTRACT

As the rural revitalization and mass fitness national strategies become more deeply integrated, mass fitness services in rural Shaanxi face real challenges such as uneven resource distribution and low levels of smart technology adoption. This study focuses on spatial issues in the smart transformation of rural mass fitness services in Shaanxi. By combining rural revitalization theory, mass fitness theory, smart service theory, and spatial optimization theory, and using methods including literature review, case study, and spatial study, we systematically examine the current situation and multi-scale spatial problems of smart mass fitness services in rural areas across Shaanxi's three major regions: Guanzhong, Northern Shaanxi, and Southern Shaanxi. The research shows that: at the macro level, there is large imbalance in resource distribution, especially smart facilities, between regions and between urban and rural areas; at the meso level, service network coverage at the county and township levels is incomplete with blind spots; at the micro level, village-level facility layouts are poor and smart function use rates are low. In response, we propose multi-scale spatial optimization pathways: at the provincial level, strengthen overall planning, balanced resource distribution, and platform buildion; at the county and township level, build a two-tier smart fitness circle of "township centers - central villages" and improve spatial layout; at the village level, promote demand-oriented precise supply and create practical scenarios; and stress cross-scale cooperation systems. Finally, the study proposes execution strategies including technology enablement, multi-stakeholder working together, content new idea, and talent support, as well as systematic guarantees including policy regulations, funding investment, and operational systems. The aim is to provide theoretical reference and practical guidance for improving the effectiveness of smart mass fitness services in rural Shaanxi and similar regions nationwide.

KEYWORDS

Rural revitalization; Mass fitness; Rural Shaanxi; Multi-scale spatial optimization; Smart services; GIS

CITE THIS PAPER

HaiYu Li, Dan Li, MoFei Chi. Multi-scale spatial optimization research on smart service models for mass fitness in rural Shaanxi under the background of rural revitalization: a preliminary study. World Journal of Management Science. 2025, 3(3): 47-50. DOI: https://doi.org/10.61784/wms3080.

REFERENCES

[1] Wen Xiuli, Cao Qinglei. Value, Realistic Form and Path of Smart Development of Mass Fitness in China. Sports Culture Guide, 2022(5): 48-54.

[2] Zhuo Jia, Feng Xingang, Zhang Wencheng. Layout Optimization of Public Service Facilities in Villages and Towns Based on Demand Orientation--Taking Shexian County, Huangshan City as an Example. Small Town Construction. 2018(2): 80-86.

[3] Wan Miaomiao. Research on Development Bottlenecks and Paths of Rural Tourism Industry Under the Background of Digitalization. Tourism Overview, 2023(3): 78-80.

[4] Batty M. Big data, smart cities and city planning. Dialogues in Human Geography, 2013, 3(3): 274-279.  

[5] Kitchin R. The real-time city? Big data and smart urbanism. GeoJournal, 2014, 79(1): 1-14.  

[6] Neutens T. Accessibility, equity and health care: review and research directions for transport geographers. Journal of Transport Geography, 2015, 43: 14-27.  

[7] Hou Yunjing, Wang Yumeng, Wu Yuxin, et al. Research on Optimization of Sports Shared Space in Urban Parks Based on Virtual Reality Technology. Chinese Landscape Architecture, 2025, 41(5): 68-75.

[8] Zhu Yuanli, Zhao Jiaohui, Cai Yong. The Four-Dimensional Space Model of Smart Fitness Services: Connotation Characteristics, Theoretical Framework, Key Issues and Solutions. Journal of Beijing Sport University, 2022, 45(12): 43-55.