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Full-Text Articles in Urban Studies and Planning
A Tale Of Two Cities: Residential Segregation In St. Louis And Cincinnati, Sungsoon Hwang
A Tale Of Two Cities: Residential Segregation In St. Louis And Cincinnati, Sungsoon Hwang
Sungsoon Hwang
This chapter explores spatial patterns and processes of residential segregation in St. Louis and Cincinnati using spatial analytical methods. Mapping Blacks by the location quotient and local Moran’s I shows that Blacks are more spatially clustered in St. Louis, and are more concentrated in Cincinnati. Spatial housing submarkets, local market segments with the distinct preference structure, are delineated using multivariate techniques; results demonstrate that St. Louis has more divided and polarized housing markets than Cincinnati. Spatially varying impacts of factors underlying housing market segmentation were examined using geographically weighted regression. It was shown that a premium for life cycle (or …
Conceptual Framework For Using Gis In Building Community Capital Towards Sustainability, Sungsoon Hwang
Conceptual Framework For Using Gis In Building Community Capital Towards Sustainability, Sungsoon Hwang
Sungsoon Hwang
Sustainability—balancing fundamental human needs with ecological resilience—has been embraced as an overarching policy goal. And communities have been called to participate in the process of attaining that ideal. Community-based organizations (CBOs) can benefit from using GIS in building community assets and developing sustainability initiatives. However, GIS, has not been used widely for these purposes in CBOs yet. In this chapter, I illustrate how geographic information (such as maps) can be useful in community development drawing from community GIS projects, and explain how theories of sustainability and spatial thinking can be utilized in community-based efforts towards sustainability. CBOs can monitor and …
Using Fuzzy Clustering Methods For Delineating Urban Housing Submarkets, Sungsoon Hwang
Using Fuzzy Clustering Methods For Delineating Urban Housing Submarkets, Sungsoon Hwang
Sungsoon Hwang
This study investigates whether a fuzzy clustering method is of any practical value in delineating urban housing submarkets relative to clustering methods based on classic (or crisp) set theory. A fuzzy c-means algorithm is applied to obtain fuzzy set membership degree of census tracts to housing submarkets defined within a metropolitan area. Issues of choosing algorithm parameters are discussed on the basis of applying fuzzy clustering to 85 metropolitan areas in the U.S. The comparison between results of fuzzy clustering and those of crisp set counterpart shows that fuzzy clustering yields statistically more desirable clusters.