Progress in urban poverty geography research based on multi-source big data
Poverty eradication is the primary goal of the United Nations(UN)Sustainable Development Goals(SDGs).In 2020,China's battle against poverty has achieved a comprehensive victory,and urban relative poverty has become one of the most critical issues in the new phase after the elimination of absolute poverty.With the advancement of technology,relying on big data analysis can reveal the hard-to-observe relative poverty phenomenon in cities in various forms.Big data analytical methods have greatly promoted the"big data turn"in urban poverty geography research.This paper analyzes the knowledge map of 1572 urban poverty geography literatures involving multi-source big data in the Scopus database from 2000 to 2022,systematically sorts out the trends and hotspots of related research,and summarizes the research framework and dimensions.It is found that based on multi-source big data,from 2000 to 2022,urban poverty geography research has gone through three key stages:"observation and visualization","content and object discovery",and"multi-source and multi-dimensional analysis".Moreover,three hot topics have been developed:"key groups of urban poverty","multidimensional representation of urban poverty",and"spatial measurement data and methods of urban poverty".As the key to the research turn,spatial built environment and individual socioeconomic big data analysis platforms have differentiated research applicability and good synergy,which greatly expands the depth and breadth of urban geography research,allowing for an in-depth exploration of urban poverty in the dimensions of economic development,physical and mental health,housing environment,and social welfare.Currently,new technologies such as big data are leading urban poverty geography research to break through the limitations of traditional data and methods,providing critical scientific support for exploring key element such as potential poverty areas,poverty groups,and poverty representations.In the future,a Chinese theoretical framework for urban poverty geography should be constructed on the basis of big data analysis and transformed into practical application,so as to lay the foundation for China to alleviate the problem of urban relative poverty after the eradication of rural absolute poverty.
万方数据
维普
