Capturing the two dimensions of residential segregation at the neighborhood level for health research

Two conceptual and methodological foundations of segregation studies are that (i) segregation involves more than one group, and (ii) segregation measures need to quantify how different population groups are distributed across space. Therefore, percentage of population belonging to a group is not an...

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Main Authors: Masayoshi eOka (Author), David W.S. Wong (Author)
Format: Book
Published: Frontiers Media S.A., 2014-08-01T00:00:00Z.
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100 1 0 |a Masayoshi eOka  |e author 
700 1 0 |a David W.S. Wong  |e author 
700 1 0 |a David W.S. Wong  |e author 
245 0 0 |a Capturing the two dimensions of residential segregation at the neighborhood level for health research 
260 |b Frontiers Media S.A.,   |c 2014-08-01T00:00:00Z. 
500 |a 2296-2565 
500 |a 10.3389/fpubh.2014.00118 
520 |a Two conceptual and methodological foundations of segregation studies are that (i) segregation involves more than one group, and (ii) segregation measures need to quantify how different population groups are distributed across space. Therefore, percentage of population belonging to a group is not an appropriate measure of segregation because it does not describe how populations are spread across different areal units or neighborhoods. In principle, evenness and isolation are the two distinct dimensions of segregation that capture the spatial patterns of population groups. To portray people's daily environment more accurately, segregation measures need to account for the spatial relationships between areal units and to reflect the situations at the neighborhood scale. For these reasons, the use of local spatial entropy-based diversity index (SHi) and local spatial isolation index (Si) to capture the evenness and isolation dimensions of segregation, respectively, are preferable. However, these two local spatial segregation indexes have rarely been incorporated into health research. Rather ineffective and insufficient segregation measures have been used in previous studies. Hence, this paper empirically demonstrates how the two measures can reflect the two distinct dimensions of segregation at the neighborhood level, and argues conceptually and set the stage for their future use to effectively and meaningfully examine the relationships between residential segregation and health. 
546 |a EN 
690 |a Residential segregation 
690 |a local spatial entropy-based diversity index 
690 |a local spatial isolation index 
690 |a racial/ethnicity segregation 
690 |a socioeconomic segregation 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n Frontiers in Public Health, Vol 2 (2014) 
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