首页|影响我国体育公园空间分布的组态效应探究——基于fsQCA定性比较分析

影响我国体育公园空间分布的组态效应探究——基于fsQCA定性比较分析

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体育公园建设是构建更高水平全民健身公共服务体系、推进体育强国建设的重要举措。从组态视角出发,以31个省(自治区、直辖市)为案例样本,运用GIS空间分析法、熵值法及模糊集定性比较分析法,探究影响我国体育公园空间分布的多重复杂因果机制。结果表明:我国体育公园空间分布主要受人口需求、经济支撑力、交通可达性、环境友好性、城镇拉动力、政府推动力的影响。体育公园空间分布是多因共推的结果,任何单一因素都不具备诱发体育公园分布的决定性。多因素组态表明,体育公园的布局路径主要是:政府主导下经济环境驱动型(PO*GNP*AQI*GOV*RL)、人口主导下新型城镇驱动型(PO*~GNP*AQI*UR*GOV和PO*GNP*~AQI*UR*RL),以及环境主导下交通城镇驱动型(~PO*~GNP*AQI*UR*RL)。
Exploration of Configuration Effects on the Spatial Distribution of Sports Parks in China——A Qualitative Comparative Analysis Based on fsQCA
The construction of sports parks is an important measure to develop a higher-level public service system for national fitness and build China into a country strong in sports.The study explores the multiple complex causal mechanisms that influence the spatial distribution of sports parks in China.It utilizes 31 provinces,autonomous regions and municipalities as case samples and employs spatial analysis in GIS,the entropy evaluation method and fuzzy-set quali-tative comparative analysis(fsQCA)to conduct the study.The results indicate that the spatial distribution of sports parks in China is mainly influenced by population demand,economic sup-port,transportation accessibility,environmental friendliness,urban motivating factors,and gov-ernment stimulus.Therefore,the spatial distribution of sports parks is the result of multiple fac-tors,and no single factor possesses the decisive ability to induce such distribution.This multi-factor configuration reveal that the layout path of sports parks is mainly shaped by government-dominated economic environment(PO*GNP*AQI*GOV*RL),population-driven new-type ur-banization(PO*~GNP*AQI*UR*GOV and PO*GNP*~AQI*UR*RL),and environment-led transport-driven urbanization(~PO*~GNP*AQI*UR*RL).

sports parkspatial distributionconfiguration path

杨惠莹、赵承磊、马富贵

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河南科技大学,河南 洛阳 471000

武汉体育学院,湖北 武汉 430079

体育公园 空间分布 组态路径

国家社会科学基金一般项目

22BTY036

2024

中国体育科技
国家体育总局体育信息研究所

中国体育科技

CSTPCDCSSCICHSSCD北大核心
影响因子:1.31
ISSN:1002-9826
年,卷(期):2024.60(2)
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