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作 者:孟珂 林育豪 刘望保[1] MENG Ke;LIN Yuhao;LIU Wangbao(School of Geography,South China Normal University,Guangzhou 510631;School of Geodesy and Geomatics,Wuhan University,Wuhan 430079,China)
机构地区:[1]华南师范大学地理科学学院,广东广州510631 [2]武汉大学测绘学院,湖北武汉430079
出 处:《地理与地理信息科学》2024年第2期51-58,66,共9页Geography and Geo-Information Science
基 金:教育部人文社会科学研究项目“手机信令大数据支撑下的广州市居民日常活动时空间行为研究”(17YJA840011)。
摘 要:基于2017年中国流动人口动态监测数据,采用空间自相关分析、多尺度地理加权回归(MGWR)模型对中国城镇流动人口城市认同度与感知接受度影响因素的空间异质性进行分析。研究发现:①流动人口的城市认同度和感知接受度空间格局相似,均呈现出明显的空间集聚性,但总体上流动人口的感知接受度低于其城市认同度。②城市认同度和感知接受度空间异质性影响因素差异明显,城市认同度的影响因素较少,高学历人才占比、在婚比重、跨省流动比例具有全局显著影响,感知接受度的影响因素更多,除主要流动因素(跨省流动比例、来源城市群比例)的影响具有全局性外,其他变量均呈现出明显的局部异质性。③城市认同度受“个体成长—来源城市—劳力水平”三重影响,而感知接受度受“个体内部特征—流动状态—外部经济产业”三重影响。中国流动人口的城市认同度与感知接受度的影响因素存在明显的空间异质性,需要因地制宜地制定流动人口管理与服务政策。Based on the dynamic monitoring data of floating population in China in 2017,this paper uses the multiscale geographically weighted regression model to analyze the spatial heterogeneity of the influencing factors of urban identification and perceived acceptance of floating population in China.It is found as follows.①The spatial pattern of urban identification and perceived acceptance of floating population is similar,showing obvious spatial agglomeration,but overall,the perceived acceptance is lower than the urban identification.②There are significant differences in the influencing factors of spatial heterogeneity of urban identification and perceived acceptance.The influencing factors of urban identification are relatively single,and the main influencing factors(proportion of highly educated talents,proportion of marriage and inter-provincial mobility ratio)have a significant global impact.Perceived acceptance is influenced by more factors.Except for the main mobility factors(inter-provincial mobility ratio,source urban agglomeration ratio)have a global impact,other factors show significant local heterogeneity.③The urban identification is affected by"individual growth,source city,and labor level",while the perceived acceptance is affected by"individual internal characteristics,floating status,and external economic industries".Based on the above conclusions,it can be seen that it is important to formulate targeted management and service policies for floating population according to local conditions.
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