Spatiotemporal‐Behavior‐Based Neighborhood Interaction Opportunities and Subjective Neighborhood Perception in Mixed‐Housing Neighborhoods: A Case Study of Fuzhou, China
ABSTRACT Research on residential spatial segregation has been increasingly emphasized by urban planners and geographers. This study delves into the long‐debated social effects of mixed‐housing neighborhood policies, focusing on the crucial aspect of social integration among residents. Our empirical research, conducted in Fuzhou, China, involves a comprehensive analysis of residents' spatiotemporal behavior across different housing types. By examining 48‐h activity diaries and socioeconomic questionnaires, and assessing neighborhood spatiotemporal opportunities for socializing, we aim to shed light on the relationship between objective and subjective perspectives of interaction. The influencing factors were revealed based on multiple linear regression modeling. Our findings reveal that residents of affordable housing exhibit higher levels of social interaction opportunities, whereas those in commercial housing demonstrate greater willingness to interact with neighbors. Moreover, residents' spatiotemporal behavior has a greater impact on the results of objective measures of neighborhood interaction opportunities, especially indicators related to shopping activities. In terms of policy recommendations, the study suggests organizing more community activities, improving the built environment, and enriching various consumption spaces around neighborhoods to foster interactions among residents of different housing types.
Authors
- Xue Zhang (ORCID: https://orcid.org/0000-0002-8712-262X)
- Yifan Tang (ORCID: https://orcid.org/0000-0001-6272-0685)
Institutions
- Sun Yat-sen University (CN)
- Capital Normal University (CN)
Publication Details
- Journal
- Population Space and Place
- Published
- 2025-01-09
- DOI
- https://doi.org/10.1002/psp.2881
- Citations
- 1
- Primary Topic
- Urban Transport and Accessibility
- Type
- article
- Field-Weighted Citation Impact
- 2.18
Funders
- Capital Normal University
- National Natural Science Foundation of China
- Ministry of Education of the People's Republic of China
- Science Foundation of Ministry of Education of China