Spatial sorting of housing market in a metropolitan area is
relatively well studied, but its implications in transportation are
understudied. Housing market segmentation is defined as a degree to
which a metropolitan area is divided into spatial housing
submarkets. The book looks at how housing market segmentation is
related to commute length at a metropolitan scale. The analysis is
preceded by delineating housing submarkets by fuzzy clustering
methods, and defining the index of housing market segmentation that
measures the separation among housing submarkets. Results show that
metropolitan areas characterized by incongruous housing market are
more likely to be associated with longer vehicle miles of commute
while other factors are controlled for. It is speculated that
deepening housing market segmentation constrains housing choice,
and residents compensate for the constraint by longer commute. The
book will be useful for those interested in land use-transportation
interaction and the application of fuzzy classification to
socioeconomic data.
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