《Social exclusion and accessibility among low- and non-low-income groups: A case study of Nanjing, China》

打印
作者
Hui Wang;Mei-Po Kwan;Mingxing Hu
来源
CITIES,Vol.101,Issue1,Article 102684
语言
英文
关键字
Low-income;Activity space;Accessibility;Social exclusion;China
作者单位
School of Architecture, Southeast University, No. 2 Si Pai Lou, Nanjing 210096, China;Department of Geography and Resource Management, The Chinese University of Hong Kong, Hong Kong, China;Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Hong Kong, China;Department of Human Geography and Spatial Planning, Faculty of Geosciences, Utrecht University, 3584 CB Utrecht, the Netherlands;School of Architecture, Southeast University, No. 2 Si Pai Lou, Nanjing 210096, China;Department of Geography and Resource Management, The Chinese University of Hong Kong, Hong Kong, China;Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Hong Kong, China;Department of Human Geography and Spatial Planning, Faculty of Geosciences, Utrecht University, 3584 CB Utrecht, the Netherlands
摘要
Accessibility is closely related to human health and life quality and is a potential indicator of social exclusion. With an activity-space measure and by weighting the importance of facilities, this study examines the differences in access to facilities between low- and non-low-income groups at both the individual and community levels using Nanjing as a case study. The results show that low-income individuals' access to public transit and commercial facilities is lower than that of individuals in the non-low-income group at the individual level. However, the differences in facility accessibility vary by community type. Participants living in danwei communities and traditional dilapidated communities have better access to facilities and services. However, low-income individuals who live in affordable housing have the lowest accessibility levels among the residents in the three different types of neighborhoods, resulting in their highest risk of social exclusion and isolation in disadvantaged spaces. The regression models reveal that individuals' socioeconomic attributes and characteristics of activities and built-environment attributes have different impacts on facility accessibility of participants of different communities. Social policies should support the equitable distribution of urban resources for different social groups, especially for vulnerable groups who live in affordable housing.