机构地区:[1]武汉大学城市设计学院,中国湖北武汉430072 [2]湖北省人居环境工程技术研究中心,中国湖北武汉430072 [3]浙江大学城乡规划设计研究院有限公司,中国浙江杭州310030
出 处:《经济地理》2023年第10期63-74,共12页Economic Geography
基 金:国家自然科学基金项目(52278075);国家留学基金委国家高水平大学建设项目(202106270077)。
摘 要:文章以武汉市为例,利用手机信令数据、土地利用数据及遥感影像数据等多源时序大数据,识别近郊区主要就业中心及其主导产业,并提出从就业人口流动的数量、强度和方向3个方面构建就业人口流动评价指标体系。首先通过净活跃度与总活跃度测度就业人口流动的数量,并结合全局莫兰指数、Getis-ord Gi*指数识别就业人口流动的空间特征,然后采用就业人口流动强度识别不同产业类型对就业人口流动强度影响的差异,最后通过标准差椭圆识别不同产业类型对就业人口流动方向及范围影响的差异。研究表明:武汉市近郊区整体呈现就业人口向近郊区各就业中心流动的趋势,但各就业中心间就业人口活跃度差异较为显著。光芯屏端网、生物医药及信息技术产业是武汉市近郊区就业人口流动强度最大的产业,吸引范围主要涵盖高等院校密集的地区;汽车制造和服务业就业人口流动强度较大,但其吸引范围相对较小;航运物流与航空物流产业发展迅捷,其就业人口流动强度正逐步增强,受地理区位制约,其就业吸引范围最广;建筑业、装备制造业、智能制造业就业人口流动强度则呈现逐年减弱的趋势,部分地区甚至出现人口净流出的现象,其就业吸引范围也较小。Taking Wuhan City as an example,this paper uses multi-source time-series big data such as cellular signaling data,land use data,and remote sensing data to identify major employment centers and their leading industries in inner suburbs,and constructs an evaluation index system of employment population mobility from three aspects:the quantity,intensity and direction of employment population mobility.Firstly,it uses net activeness and total activeness to measure the number of employment population mobility,and identifies the spatial characteristics of employment population mobility using the global Moran's index and the Getis-ord Gi*index,then uses the mobility intensity of employment population to identify the different effects of different industrial types on the mobility intensity of employment population.It identifies the different effects of different industry types on the direction and scope of employment population mobility by the means of the standard deviation ellipse.The study shows that:1)The employment population in inner suburbs of Wuhan has a whole trend of migrating to employment centers in inner suburbs,but there is a significant difference in activeness of employment population among employment centers.2)Optoelectronic-chip-screenterminal-network,biomedicine and information technology industries are the industries with the highest intensity of employment population mobility in the suburbs of Wuhan,and the attraction scope mainly covers areas with high-dense colleges and universities.3)The intensity of employment population mobility in automobile manufacturing and service industries is relatively high,but its attraction scope is relatively small.4)The shipping and aviation logistics industry is developing rapidly,and the intensity of the employment population mobility is gradually increasing,and restricted by geographic location,its employment attraction scope is the widest.5)The mobility intensity of the employment population in construction industry,equipment manufacturing industry and intelligent
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