Capturing socio-spatial inequality in planetary urbanisation: A multi-dimensional methodological framework

Lynam, Ava; Li, Fengqing; Xiao, Gaoli; Fei, Liyuan; Huang, Huang; Utzig, Lukas

doi:10.1016/j.cities.2022.104076

Cited by 10 publications

(7 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, low-status urban areas lagged behind the modernisation process in central and newly developed territories. Socio-spatial inequality is observed not only in cities, towns, but also in urbanisation of the entire planet, which is characteristic of growing polarisation [9]. Urbanisation worldwide enhanced due to "hypermobile" processes of globalisation encompassing an increasingly more dynamic interaction of people, infrastructure, technologies, resources and information.…”

Section: Inequalities Megatrendmentioning

confidence: 99%

Focus of Regional Policy on Reducing Economic and Social Inequalities

Simulik¹

2023

TEMEL

View full text Add to dashboard Cite

The article deals with an increasing social and economic inequality in several regions of the world and inside particular states. In the present research, major attention is focused on social differentiation and uneven regional development that have been increasing throughout the past decades in Lithuania. Polarisation of the economic and social potential, tendency of residents to move to cities increase economic and social inequality between cities and peripheral territories. The increased EU investment flows for under-developing regions of Lithuania over the period of 2021-2027 providing conditions for reduction of economic and social differences of regions have been analysed.

show abstract

Section: Inequalities Megatrendmentioning

confidence: 99%

Focus of Regional Policy on Reducing Economic and Social Inequalities

Simulik¹

2023

TEMEL

View full text Add to dashboard Cite

show abstract

“…Early research methods were mainly based on empirical qualitative analysis. After the advancement of computer technology and population survey statistics technology, research methods based on multivariate statistics and spatial analysis technology began to be applied [36,37]. Analysis methods such as geographic information systems, human dynamic models, spatial syntax, type morphology, social network analysis, clustering methods, etc., began to deepen traditional research methods.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The factor ecological analysis method based on demographic data is a representative objective assignment method, which has been applied in the study of social-spatial differentiation in large cities in countries such as the UK, France, Poland, etc. [37]. Factor ecological analysis, as a statistical analysis method, lacks a sufficient explanation of the formation mechanism of social-spatial structure models and easily overlooks the impact of spatial factors on social-spatial differentiation [38].…”

Section: Literature Reviewmentioning

confidence: 99%

Assessment of the Impact of Basic Public Service Facility Configuration on Social–Spatial Differentiation: Taking the Zhaomushan District of Chongqing, China

Sun,

Huang,

Yang

et al. 2023

Sustainability

View full text Add to dashboard Cite

Objectively assessing the impact of various basic public service facilities on social–spatial differentiation has become a prerequisite for promoting urban social integration and development. However, in practice, the configuration of basic public service facilities is not always conducive to social integration, especially at the microscale. Effectively measuring the inhibitory or aggravating effects of various basic public service facility configurations on social–spatial differentiation has become a challenge. Based on the assumption that the configuration of basic public service facilities has inhibitory and aggravating effects on social–spatial differentiation, this study selected two types of objects: social space and basic public service facilities to refine the research elements. Using spatial and statistical analysis methods such as ecological factors, clustering, correlation, mediation, and superposition analysis, a framework was constructed to evaluate the impact of basic public service facility configuration on social–spatial differentiation and take the Zhaomushan area in Chongqing, China, as a typical case for verification. The study found that registered residence, income, employment location, and residential density are still the main factors of social–spatial differentiation in the study area. The main factors contributing to the differentiation of basic public service facilities are elderly care and housing security, public transportation and green space access, education and employment security, and small-scale medical and health facilities in the study area. In the eight principal factor pairs after the superposition of two differentiation spaces, six pairs showed weakened spatial differentiation, while two pairs showed intensified spatial differentiation. This indicates that the allocation of basic public service facilities will simultaneously inhibit and exacerbate social–spatial differentiation, but the inhibitory effect is significantly stronger than the exacerbating effect. Among them, public transportation and green parks are the main types of facilities that mainly exacerbate social–spatial differentiation. This dual effect is specifically reflected in the change in the spatial adaptation position of social space and basic public services, the weakening of the original social space differentiation boundary and the emergence of new differentiation boundaries simultaneously, and the multicenter composite form of social space. In the future, quantitative evaluation based on research frameworks can provide scientific basis for constructing spatial adaptability strategies for the supply of basic public service facilities and social production and life, such as adjusting the distribution, scale, and spatiotemporal relationship between basic public service facilities and residential communities in a reasonable manner. This is crucial for promoting social integration.

show abstract

“…This can regionalize residents into distinct socio-spatial patterns, which can, in turn, lead to distinct Sustainability 2023, 15, 16302 2 of 14 socio-psychological contexts at the neighborhood level. A large body of research has shed light on socio-spatial differentiation, inequalities, and segregation [3,[19][20][21][22][23][24], which can occur in various domains of life [25], such as residences, workplaces, and schools. However, few have investigated this topic from the perspective of socio-psychological health, and little is known about its impact on residential satisfaction.…”

Section: Introductionmentioning

confidence: 99%

Physical Environment, Socio-Psychological Health, and Residential Satisfaction: A Link across Housing Types in the Unique Chinese Context

Chen,

Tian,

Nielsen

et al. 2023

Sustainability

View full text Add to dashboard Cite

Housing plays a critical role in health and has real consequences on people’s wellbeing. Numerous studies have provided extensive insights into the housing–health–wellbeing association. However, in the Chinese context, the unique housing allocation system with institutional force may present a distinct picture from that based on international knowledge. Using sample data from housing surveys, this study employs statistical analysis and the Tobit model to explore the links between the physical environment, socio-psychological dispositions, and residential satisfaction at the neighborhood level across different housing types in the unique Chinese context. The analyses reveal that (1) residents’ socio-psychological dispositions and residential satisfaction vary remarkably across different housing types, with residents in replacement housing experiencing particularly low levels of residential satisfaction, presenting a regionalization trend; (2) housing types appear to have a significant effect on socio-psychological dispositions; and (3) physical environment characteristics in conjunction with socio-psychological dispositions significantly affect residential satisfaction. These findings suggest that social housing development should integrate socio-psychological initiatives with physical environment improvement, particularly for disadvantaged groups in public and replacement housing, to achieve more livable communities with better residential satisfaction and higher social resiliency and sustainability.

show abstract

Capturing socio-spatial inequality in planetary urbanisation: A multi-dimensional methodological framework

Cited by 10 publications

References 48 publications

Focus of Regional Policy on Reducing Economic and Social Inequalities

Focus of Regional Policy on Reducing Economic and Social Inequalities

Assessment of the Impact of Basic Public Service Facility Configuration on Social–Spatial Differentiation: Taking the Zhaomushan District of Chongqing, China

Physical Environment, Socio-Psychological Health, and Residential Satisfaction: A Link across Housing Types in the Unique Chinese Context

Contact Info

Product

Resources

About