基于多源数据的环长株潭城市群县市区活跃度测度与分析

了解一个城市群内各县(市)区的活跃度可以为该城市群服务设施的配置及等级结构的优化提供依据。基于环长株潭城市群夜间灯光数据、客流量数据以及新浪微博签到数据,利用数理统计分析,对环长株潭城市群内64个县(市)区的活跃度进行测度,并对经济活跃度和人口活跃度的组合状况进行分类分析。结果显示:长沙市内五区的活跃度居前五位,而距离各中心城区较远的县市区活跃度较低,总体上呈中心-外围的圈层分布,且具有沿轴向扩展与多极点并存的空间分布格局;核心区的经济活跃度与人口活跃度基本一致,而外围区则不一致;从经济活跃度和人口活跃度的组合关系来看,表现出高-高、高-低、低-高及低-低等4种类型。

Measurement and Analysis of Activity Levels of Counties (Cities) in Changsha, Zhuzhou and Xiangtan Urban Agglomeration Based on Multi-source Data

Understanding the activity of each county (city) within a city group can provide a basis for the allocation of service facilities and the optimization of the hierarchical structure of the city group. Based on the nighttime lighting data of the Changsha-Zhuzhou-Xiangtan urban agglomeration, the passenger traffic data and the Sina Weibo sign-in data, using the mathematical statistics analysis, the activity of 64 counties (cities) in the urban area of Zhuanzhutan was measured and the economy was measured. The combination of activity and population activity was classified and analyzed. The results show that the five districts in Changsha are in the top five, while the districts far from each central city are less active, and generally have a central-peripheral circle distribution with axial expansion and The spatial distribution pattern of multi-pole coexistence; the economic activity of the core area is basically consistent with the population activity, while the peripheral areas are inconsistent; from the combination of economic activity and population activity, it shows high-high, high-low , low-high and low-low four types.