摘要
以武汉都市发展区为例,采用手机信令时序数据挖掘与解析居民迁居行为,结合服务设施POI(兴趣点)数据,综合运用多元线性回归模型和地理加权回归方法,分析商业服务设施(餐饮、生活性服务、购物设施)和公共服务设施(医疗和教育设施)对居民迁居的影响。结果表明:①不同服务设施对居民迁居的影响程度不同,且服务设施在中心城区和近郊区的影响作用呈现明显的空间分异特征。②商业服务设施中,餐饮对居民迁居影响最大,其次为生活性服务和购物设施;近郊区商业服务设施对居民迁居的影响力大于中心城区,且各郊区新城之间的影响也存在差异。③公共服务设施中,医疗设施相较于教育设施对居民迁居的影响更大;且中心城区公共服务设施对居民迁居的影响力高于近郊区。
With the development of country's economy,people's demand for a higher quality of life has become stronger and stronger,and commercial and public service facilities have become an important factor affecting intra-urban migration.Taking Wuhan Urban Development Zone as an example,this paper firstly uses mobile phone signaling time series data to mine intra-urban migration behavior,and then combines POI(point of interest)data of service facilities,comprehensively uses multiple linear regression and geographically weighted regression methods to analyze commercial facilities(catering,daily life,shopping facilities)and public service facilities(medical and educational facilities)on intra-urban migration.The results show that the influence of different service facilities on the intra-urban migration is different,and the influence of service facilities in the central urban area and the suburbs shows obvious spatial differentiation characteristics:1)Among the commercial service facilities,catering facilities have the greatest impact on intra-urban migration,followed by daily life facilities,and finally shopping facilities.In terms of space,the influence of commercial service facilities in suburban areas on intra-urban migration is stronger than that in central urban areas,and the influence of each new city is also different;2)Among public service facilities,medical facilities compared with educational facilities,the impact on intra-urban migration is stronger,and the impact of public service facilities in central urban areas on intra-urban migration is higher than that in suburban areas.The research results can provide a reference for the differentiated configuration of service facilities,the enhancement of regional attractiveness and the optimization of urban spatial structure.
作者
牛强
盛嘉菲
刘晓阳
严雪心
Niu Qiang;Sheng Jiafei;Liu Xiaoyang;Yan Xuexin(School of Urban Design,Wuhan University,Wuhan 430072,Hubei,China)
出处
《地理科学》
CSCD
北大核心
2023年第5期860-868,共9页
Scientia Geographica Sinica
基金
国家自然科学基金项目(51778503)资助。
关键词
时序大数据
城市内部居民迁居
服务设施
武汉都市发展区
time series big data
intra-urban migration
service facilities
Wuhan Urban Development Area