Central City Revitalization: A Predictive Model
利用1970年美国波士顿的人口普查数据，构建经济、住房、社会和便利设施指标，通过逻辑回归模型预测中心城区邻里发生绅士化的可能性。
The object of this paper is to increase the understanding of the gentrification process by developing a set of representative indices that could be used to assess the likelihood of gentrification occurring in a central city neighborhood. Using Boston, Massachusetts as a representative city, economic, housing, social and amenity variables were collected from the 1970 U.S. Census. A sample of blocks that did and did not revitalize after 1970 was chosen. As the gentrification outcome was known with certainty, a logistic regression model was estimated. The estimated model quite accurately classified the neighborhoods into their respective grouping, resulting in a block‐level statistical model of housing revitalization.