Measuring Chinese cities'economic development with mobile application usage  

基于手机APP使用记录的中国城市经济发展度量研究

作　　者：LIU Zhewei LIU Jianxiao HUANG Xiao ZHANG Erchen CHEN Biyu 刘哲维;刘健枭;黄啸;张尔晨;陈碧宇(Smart Cities Research Institute,Department of Land Surveying and Geo-informatics,The Hong Kong Polytechnic University,Hung Hom,Hong Kong,China;State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan 430079,China;Department of Real Estate and Construction,Faculty of Architecture,The University of Hong Kong,Hong Kong,China;Department of Geosciences,University of Arkansas,AR,USA;Independent Researcher;Collaborative Innovation Center of Geospatial Technology,Wuhan University,Wuhan 430079,China;Geocomputation Center for Social Sciences,Wuhan University,Wuhan 430079,China)

机构地区：[1]Smart Cities Research Institute,Department of Land Surveying and Geo-informatics,The Hong Kong Polytechnic University,Hung Hom,Hong Kong,China [2]State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan 430079,China [3]Department of Real Estate and Construction,Faculty of Architecture,The University of Hong Kong,Hong Kong,China [4]Department of Geosciences,University of Arkansas,AR,USA [5]Independent Researcher [6]Collaborative Innovation Center of Geospatial Technology,Wuhan University,Wuhan 430079,China [7]Geocomputation Center for Social Sciences,Wuhan University,Wuhan 430079,China

出　　处：《Journal of Geographical Sciences》2022年第12期2415-2429,共15页地理学报（英文版）

基　　金：Wuhan University State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing,No.21S02。

摘　　要：With the rise of smart phones,mobile applications have been widely used in daily life.However,the relationship between individuals’mobile application usage and cities’economic development has yet to be investigated.To study this question,this work utilizes a dataset containing users’history of mobile application usage records(MAURs)and investigates how MAURs are related to Chinese cities’economic development.Our analysis shows the cities’GDP and number of MAURs are highly correlated,and at the individual level,people in wealthier cities(higher GDP per capita)tend to have more active mobile application usage(MAURs per capita).The results also demonstrate the relevance between cities’GDP and MAURs varies significantly among different demographic groups,with male users’relevance consistently higher than female users’and working-age people’s relevance higher than other age groups.A boosted tree regression model is then applied to predict cities’GDP with MAURs and proves to achieve high goodness-of-fit(over 0.8 R-square)and good prediction accuracy,especially for the economically developed and populous regions in China.To the best of our knowledge,this is the first time that the relationship between MAURs and cities’economic development is revealed,which contributes to novel knowledge discovery for regionalization and urban development.

关 键 词：big data mobile application usage city-level economic development Chinese cities 

分 类 号：F124[经济管理—世界经济] TP311.56[自动化与计算机技术—计算机软件与理论]