测绘地理信息2024,Vol.49Issue(3) :123-127.DOI:10.14188/j.2095-6045.2022808

乡村经济活力与建设活动协同发展格局的时空演变分析——以武汉市为例

Spatial-Temporal Evolution Analysis of the Coordinated Development Pattern of Construction Activities and Economic Vibrancy in Rural Communities:A Case Study in Wuhan

巫溢涵 詹庆明 刘慧民
测绘地理信息2024,Vol.49Issue(3) :123-127.DOI:10.14188/j.2095-6045.2022808

乡村经济活力与建设活动协同发展格局的时空演变分析——以武汉市为例

Spatial-Temporal Evolution Analysis of the Coordinated Development Pattern of Construction Activities and Economic Vibrancy in Rural Communities:A Case Study in Wuhan

巫溢涵 1詹庆明 2刘慧民2
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作者信息

  • 1. 华中科技大学建筑与城市规划学院,湖北武汉,430079;湖北省城镇化工程技术研究中心,湖北武汉,430079
  • 2. 武汉大学城市设计学院,湖北武汉,430072;武汉大学数字城市研究中心,湖北武汉,430072
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摘要

以武汉市3236个社区和乡村行政单元为分析单元,首先基于2000—2020年的不透水面和夜间灯光指数变化率数据,运用双变量莫兰指数分析了2000年以来每5年武汉市社区和乡村单元的经济活力和建设活动的协同发展水平.然后采用双对数回归模型,基于2018年的灯光、兴趣点、建筑、路网和高程数据,量化评估了关键建设因子对乡村经济活力的影响.结果表明,武汉市各社区和乡村单元的经济活力增长和其周边单元的建设活动增长呈现出愈来愈强的全局空间正相关性.研究还发现,在武汉市乡村中,平均高程、建筑分离度指数、道路交叉口密度、建筑密度、服务类设施核密度、服务类设施混合度每1% 的增长可分别带来−1.243%,−3.526%,+0.210%,+0.397%,+0.175%,+0.366%的经济活力影响,以上结论可进一步对乡村振兴战略的制定提供支撑.

Abstract

We utilize the bivariate Moran's I to measure the interaction between the growth of impervious areas and the growth of the night light index in 3236 urban and rural commu-nities in Wuhan from 2000 to 2020. Then,a log-log regres-sion model was used to quantitatively evaluate the impact of key construction factors on rural economic vitality based on 2018 lighting,points of interest,buildings,road networks,and elevation data. The results indicate that a global positive spatial autocorrelation between the expansion of construction activities and the growth of economic activities is detected in Wuhan city. Moreover,the findings demonstrate that the 1% increases in mean elevation,rural settlement division index,road junction density,building density,the kernel density of service facilities,and land mix-use intensity index are expect-ed to result in − 1.243%,− 3.526%,+0.210%,+0.397%,+0.175%,+0.366% increases of economic growth in rural communities.

关键词

乡村行政单元/协同发展/双变量莫兰指数/双对数回归模型

Key words

rural administrative area/coordinated development/bivariate Moran's I/log-log regression model

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基金项目

国家自然科学基金(52378056)

国家自然科学基金(52378019)

广东省重点领域研发计划(2020B0202010002)

湖北省自然科学基金(2023AFB080)

出版年

2024
测绘地理信息
武汉大学

测绘地理信息

CSTPCDCSCD
影响因子:0.563
ISSN:1007-3817
参考文献量7
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