打印

作者

Chong Xu;Yinxia Yang;Guangwen Song;Lin Liu;Minxuan Lan;Xi Chen

来源

HABITAT INTERNATIONAL,Vol.129,P.102673

语言

英文

关键字

作者单位

Center of Geo-Informatics for Public Security, School of Geography and Remote Sensing, Guangzhou University, Guangzhou, China;Department of Geography, University of Cincinnati, OH, USA;Department of Geography and Planning, The University of Toledo, OH, USA;Center of Geo-Informatics for Public Security, School of Geography and Remote Sensing, Guangzhou University, Guangzhou, China;Department of Geography, University of Cincinnati, OH, USA;Department of Geography and Planning, The University of Toledo, OH, USA;School of Design, Shanghai Jiao Tong University, Shanghai, PR China;Shanghai Key Laboratory of Urban Renewal and Spatial Optimization Technology, PR China;International Research Center for Architectural Heritage Conservation, Shanghai Jiao Tong University, Shanghai, PR China;School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing, 210023, China;Key Laboratory of Coastal Zone Exploitation and Protection, Ministry of Natural Resources, Nanjing, 210023, China;Department of Urban Studies and Planning, University of Sheffield, Western Bank, Sheffield, S10 2TN, UK;Institute of Geography, Ruhr University Bochum, Universitätsstraße 150, 44801, Bochum, Germany;Jiangsu Land Development and Consolidation Technology Engineering Center, Nanjing, 210023, China;Department of Civil Engineering, Sanandaj Branch, Islamic Azad University, Sanandaj, Iran;Department of Civil Engineering, Technical and Vocational University (TVU), Tehran, Iran;Department of Civil Engineering, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran;Department of Building and Real Estate, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China;School of Computing, Engineering and Built Environment, Edinburgh Napier University, Edinburgh, United Kingdom;College of Architecture and Urban Planning, Chongqing Jiaotong University, No.66 Xuefu Road, Nan'an District, Chongqing, 400074, China;WISSENSARCHITEKTUR-Laboratory of Knowledge Architecture, Faculty of Architecture, TU Dresden, Zellescher Weg 17, BZW-B 009, 01069, Dresden, Germany;Research Center for China Administrative Division, East China Normal University, Shanghai, 200241, People's Republic of China;Institute of Eco-Chongming, Shanghai, 202162, People's Republic of China;Future City Lab, East China Normal University, Shanghai, 200241, People's Republic of China;School of Urban and Regional Science, East China Normal University, Shanghai, 200241, People's Republic of China;School of Public Administration and Policy, Renmin University of China, Beijing, 100872, China

摘要

Because of China's unique civil registration system (Hukou), using the proportion of floating population or domestic migrants as an index of racial/ethnic heterogeneity is a common practice to apply social disorganization theory to explain crime in Chinese cities. However, this method does not fully reflect the substantive connotation of racial/ethnic heterogeneity in Chinese cities. In this study, we add the heterogeneity of civil registration, i.e. Hukou, in addition to the proportion of floating population when studying crime in a big Chinese city. Following social disorganization theory, we use negative binomial regression models with theft data in 2017, the Sixth National Population Census data, and Point of interests (POI) to delineate effects of the heterogeneity of civil registration and proportion of floating population on thefts. We have four major findings: 1) the Hukou-based ethnic heterogeneity index can better illustrate the ethnic heterogeneity in the Chinese context and have a significant impact on thefts; 2) communities with more rental housing units tend to experience more thefts; 3) there are more thefts in communities that are under the jurisdiction of neighborhood committee; and 4) the agglomeration of Internet cafes, banks, supermarkets, and restaurants tend to exacerbate the thefts in communities. This study subdivides the community residents' civil registration categories to delineate racial/ethnic heterogeneity, explores its impact on community thefts, and constructs a more optimized indicator that better suits communities in China. This is a meaningful supplement to crime theory and existing methods in non-western societies.