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Usage of Urban Space and Sociospatial Differentiation of Income Groups: A Case Study of Nanjing, China

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  • Hui Wang
  • Mei‐Po Kwan
  • Mingxing Hu

Abstract

With rapid economic and urban development in recent decades, sociospatial inequalities in Chinese cities are exacerbating. In China, the sociospatial structure of cities has experienced tremendous changes during the economic transition. Based on a person‐based perspective, this study explores the relationship between urban spaces and individual behaviours of low‐income and non‐low‐income groups in general and at the community level. The results indicate that low‐income residents are more likely constrained to outer suburbs than non‐low‐income residents. However, differences in urban‐space use between income groups vary in different communities. The differences in inner‐city communities are the most moderate, while the differences are the most significant in affordable housing communities. The logistic regression models reveal that the income variable influences only the outer‐suburb individuals’ use of urban space.

Suggested Citation

  • Hui Wang & Mei‐Po Kwan & Mingxing Hu, 2020. "Usage of Urban Space and Sociospatial Differentiation of Income Groups: A Case Study of Nanjing, China," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 111(4), pages 616-633, September.
    • Handle: RePEc:bla:tvecsg:v:111:y:2020:i:4:p:616-633
    DOI: 10.1111/tesg.12399
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    References listed on IDEAS

    as
    1. David Wong & Shih-Lung Shaw, 2011. "Measuring segregation: an activity space approach," Journal of Geographical Systems, Springer, vol. 13(2), pages 127-145, June.
    2. Jian Feng & Yixing Zhou & Fulong Wu, 2008. "New Trends of Suburbanization in Beijing since 1990: From Government-led to Market-oriented," Regional Studies, Taylor & Francis Journals, vol. 42(1), pages 83-99.
    3. Jae Yong Lee & Mei‐Po Kwan, 2011. "Visualisation Of Socio‐Spatial Isolation Based On Human Activity Patterns And Social Networks In Space‐Time," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 102(4), pages 468-485, September.
    4. Schönfelder, Stefan & Axhausen, Kay W., 2003. "Activity spaces: measures of social exclusion?," Transport Policy, Elsevier, vol. 10(4), pages 273-286, October.
    5. Na Ta & Mei-Po Kwan & Yanwei Chai & Zhilin Liu, 2016. "Gendered Space-Time Constraints, Activity Participation and Household Structure: A Case Study Using A GPS-Based Activity Survey in Suburban Beijing, China," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 107(5), pages 505-521, December.
    6. Wang, Donggen & Cao, Xinyu, 2017. "Impacts of the built environment on activity-travel behavior: Are there differences between public and private housing residents in Hong Kong?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 25-35.
    7. Sean Reardon & John Yun & Tamela Eitle, 2000. "The changing structure of school segregation: Measurement and evidence of multiracial metropolitan-area school segregation, 1989–1995," Demography, Springer;Population Association of America (PAA), vol. 37(3), pages 351-364, August.
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    Cited by:

    1. Hui Wang & Mei-Po Kwan & Mingxing Hu & Junheng Qi & Jiemin Zheng & Bin Han, 2022. "Time Allocation and the Activity-Space-Based Segregation of Different Income Groups: A Case Study of Nanjing," Land, MDPI, vol. 11(10), pages 1-17, October.

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