基于GIS的大别山革命老区信阳市体育场地设施空间集聚特征与影响因素

Spatial agglomeration characteristics and influencing factors of sports venue facilities in Xinyang City, Dabie Mountain Revolutionary Old Area based on GIS

  • 摘要: 基于POI大数据和地理信息系统(Geographic Information System, GIS),以信阳市所辖8县2区的体育场地设施为研究对象,综合运用核密度估计、标准差椭圆分析、平均最近邻分析及地理探测器等方法,探讨信阳市体育场地设施的空间分布格局、资源配置特征及其影响因素。结果表明: 1)体育场地设施(共计3309处)在空间上呈“单核心集聚”格局,核密度高值区(2.16~4.32)集中分布于平桥区与浉河区交界地带,并向周边区域呈逐级递减趋势。 2)全市体育场地设施千人拥有量0.530 5 个,其中浉河区最高(1.016 6 个/千人),息县最低(0.306 0 个/千人),资源配置与人口需求严重失衡。 3)平均最近邻比率0.244 9(z=-83.102 3,p<0.001),表明体育场地设施分布呈现高度聚集特征,居民整体可达性相对便利。 4)医疗保健因子与科教文化因子的影响力最强(q=0.946),夜间灯光强度与路网密度次之,自然地理因子的单独影响相对微弱,但各因子交互作用后解释力显著增强。据此,提出优化空间布局结构、提升资源配置均衡性、丰富设施类型多样性及强化多部门协同合作等相关建议。研究结果可为信阳市体育场地设施布局优化与选址决策提供科学参考,以推动区域体育场地设施建设实现高质量发展。

     

    Abstract: Based on point-of-interest(POI) big data and a geographic information system(GIS), the sports venues and facilities in the eight counties and two districts under the jurisdiction of Xinyang City were taken as the research objects. Methods including kernel density analysis, standard deviational ellipse analysis, average nearest neighbor analysis, and the geographical detector were comprehensively employed to investigate the spatial distribution pattern, resource allocation characteristics, and influencing factors of sports facilities in Xinyang. The results indicated that: 1)A total of 3309 sports facilities were spatially distributed in a "single‑core agglomeration" pattern, with the high‑value kernel density areas (2.16~4.32) concentrated at the junction of Pingqiao District and Shihe District and gradually decreasing toward the peripheral areas. 2)The per‑thousand population occupancy of sports facilities citywide was 0.530 5 facilities per thousand people, with the highest value observed in Shihe District (1.016 6) and the lowest in Xi County (0.306 0), revealing a severe imbalance between resource allocation and population demand. 3)The average nearest neighbor ratio was 0.244 9(z=-83.102 3,p<0.001), indicating a highly clustered distribution of sports facilities and relatively convenient overall accessibility for residents.4)The factors of healthcare and science,education and culture exerted the strongest influence(q=0.946), followed by nighttime light intensity and road network density, whereas the individual effects of natural geographic factors were relatively weak; however, the explanatory power was significantly enhanced after factor interactions were considered. Accordingly, suggestions were proposed to optimize the spatial layout structure, improve the balance of resource allocation, enrich the diversity of facility types, and strengthen multi-sectoral collaboration. The findings were intended to provide a scientific reference for the optimization of the spatial layout and site selection of sports facilities in Xinyang City, thereby promoting the high‑quality development of regional sports facility construction.

     

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