打印

作者

Jian Liu;Bin Meng;Ming Yang;Xia Peng;Dongsheng Zhan;Guoqing Zhi

来源

HABITAT INTERNATIONAL,Vol.126,P.102621

语言

英文

关键字

作者单位

College of Resource Environment and Tourism, Capital Normal University, No.105 West 3rd Ring Road North, Beijing, 100048, China;College of Applied Arts and Sciences, Beijing Union University, Beijing, 100191, China;Laboratory of Urban Cultural Sensing & Computing, Beijing Union University, Beijing, 100191, China;Beijing Municipal Institute of City Planning and Design, Beijing, 100045, China;Tourism College of Beijing Union University, Beijing, 100101, China;State Key Laboratory of Resources and Environmental Information System, CAS, Beijing, 100101, China;School of Management, Zhejiang University of Technology, Hangzhou, 310023, China;College of Resource Environment and Tourism, Capital Normal University, No.105 West 3rd Ring Road North, Beijing, 100048, China;College of Applied Arts and Sciences, Beijing Union University, Beijing, 100191, China;Laboratory of Urban Cultural Sensing & Computing, Beijing Union University, Beijing, 100191, China;Beijing Municipal Institute of City Planning and Design, Beijing, 100045, China;Tourism College of Beijing Union University, Beijing, 100101, China;State Key Laboratory of Resources and Environmental Information System, CAS, Beijing, 100101, China;School of Management, Zhejiang University of Technology, Hangzhou, 310023, China;Center for Real Estate Studying, Zhejiang University, Hangzhou, China;Department of Civil Engineering, Zhejiang University, Hangzhou, China;Ningbo Urban Construction Investment Holding Company Limited, China;The Hongkong Polytechnic University, Hong Kong, China;Key Laboratory of Geographical Processes and Ecological Security in Changbai Mountains, Ministry of Education, School of Geographical Sciences, Northeast Normal University, Changchun, Jilin, 130024, China;Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China;College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China;School of Architecture & Fine Art, Dalian University of Technology, Dalian, Liaoning, 116000, China;School of Geographical Sciences, Northeast Normal University, Changchun, Jilin, 130024, China;College of Jang Ho Architecture, Northeastern University, Shenyang, Liaoning, China;Department of Construction and Real Estate, School of Civil Engineering, Southeast University, Nanjing, 210018, China;Department of Mechanical and Construction Engineering, Northumbria University, Newcastle, UK;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;School of Sociology and Ethnology, University of Chinese Academy of Social Sciences, Beijing, 102488, China;Department of Public Policy, City University of Hong Kong, Kowloon Tong, Hong Kong, China;Shenzhen Research Institute, City University of Hong Kong, Shenzhen, 518057, China;School of Public Administration, South China Agricultural University, Guangzhou, 510642, China;Tongji University (CAUP) Shanghai, China;TU Delft Faculty of Architecture and the Built Environment, Delft, the Netherlands

摘要

Due to rapid informatization and increasing urban sprawl, currently, metropolitan residents are facing challenges regarding spatial imbalance between their home, workplace, and activity locations, which seriously affects the quality of life and subjective well-being of urban residents. However, only a few existing studies have analyzed the relationship between home, workplace, and other activity spaces of urban residents and the influence mechanism of spatial separation of the three locations. In this study, we used the mobile phone signaling data of the residents of Beijing for May 2019 to explore the degree of mutual separation of the three locations, based on the identification of the homes, workplaces, and main activity spaces of over 2.3 million residents in Beijing. Leveraging these data, we discussed the influence mechanism of activity separation, in terms of the built environment and socioeconomic factors. The results indicated that the degree of the home-workplace separation was the highest, followed by the home-workplace-activity space separation, and the home-activity space separation was the lowest. Notably, the three types of spatial separations had significant spatial disparities. Attribution analysis indicated housing price as the dominant factor affecting the spatial separation of the residents, while the accessibility and location also having important effects. Moreover, the interaction of these factors had a stronger explanatory power for the spatial separation of the daily activity spaces of the urban residents. This study is the first to estimate the degree of spatial separation among the homes, workplaces, and other activity spaces of urban residents and analyzed their correlation using geographic context factors. Our results can provide useful scientific insights to explore the spatial characteristics of the home-work-activity relationship with respect to metropolitan residents and optimize the spatial distribution of urban functions.