A multivariate approach to the prediction of maintenance needs in public housing: the tenant dimension Available to Purchase

This paper sets out to develop a bridge for the existing gap in knowledge by exploring the characteristics of the tenants of some LA housing estates and how they affect maintenance need. Without the proper integration of information relating to property and the users of the dwelling, the phenomenon of housing maintenance need prediction will remain an intractable problem for housing managers. The paper therefore explores the hypothesis that dwellings within the same estate and having every conceivable architectural attribute in space and time in common will exhibit different maintenance need profiles as a result of differences in tenants’ characteristics.