ABSTRACT
The emphasis on analyzing physical conditions in the study of the need for renewal has helped to limit the scope of proposed solutions to urban blight. Data restrictions and methodology constraints have contributed to the constriction of community renewal analysis. This paper explores the expansion of renewal analysis through the use of multiple factor analysis ( 1 ). Factor analysis is a technique for assimilating diverse data by producing synthetic variables which condense large amounts of data to manageable proportions. The study presented reveals that multitudinous heterogeneous data can be managed with effective analysis, and that the inclusion of a broadened data base places physical conditions in the proper perspective for community renewal and blight analysis.
