Urban Segregation and Inequality

Spatial Random Slope Multilevel Modeling Using Multivariate Conditional Autoregressive Models: A Case Study of Subjective Travel Satisfaction in Beijing

This article explores how to incorporate a spatial dependence effect into the standard multilevel modeling (MLM). The proposed method is particularly well suited to the analysis of geographically clustered survey data where individuals are nested in geographical areas. Drawing on multivariate conditional autoregressive models, we develop a spatial random slope MLM approach to account for the within-group dependence among individuals in the same area and the spatial dependence between areas simultaneously.

AQMeN research briefing 8: Religious segregation in Belfast: detecting real change in patterns of population movement

More than half of the world’s population now live in cities.  The processes that have caused urbanisation raise challenges with respect to social segregation as cities have become more diverse in terms of the religious, ethnic, legal and cultural backgrounds of inhabitants.          

This can lead to individual neighbourhoods becoming more segregated as ‘homophily’ occurs, or in other words, ‘birds of a feather flock together’, which in turn raises questions about the best way to plan cities and design social policy to avoid social conflict. 


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