The demolition of downtown low-income residential buildings: A discriminant analysis

Predicting Housing Abandonment with the Philadelphia Neighborhood Information System

“…(1973) for Newark, NJ used analysis of variance, factor analysis, and multiple linear regression. Two other studies used discriminant analysis (Bell & Kelso, 1986) and logistic regression (Scafidi et al., 1998) to determine the magnitude and statistical significance of the relationship between indicators of abandonment and actual abandonment. The logistic regression models are more appropriate than multiple regression for analyzing dichotomous outcomes and they also generate very interpretable output in the form of odds ratios.…”

“…(1998) found that properties were more likely to become financially abandoned (vested by the city of New York) if the lien‐to‐market value ratio exceeded 1.0, the assessed value was low, tenants took advantage of the city's emergency repair program, the property had outstanding maintenance and unsafe building violations, and the building was located in a high poverty area. Bell & Kelso (1986) found that the number of contiguous vacant parcels, the number of residential buildings and parking lots nearby, the number of units in the building, and the size of the building in relation to the parcel all helped to predict which buildings in Seattle were demolished.…”

“…By using management information systems (MIS) often in combination with Geographic Information Systems (GIS) technology to integrate property‐level and aggregate data, these systems are intended to forecast which properties are at greatest risk of abandonment in order to inform planning, intervention, and research. Los Angeles (Community Information Technology Center, Neighborhood Knowledge Los Angeles) and Chicago (Center for Neighborhood Technology, Neighborhood Early Warning System) boast the largest and most accessible systems, but examples have also been found in Seattle (Bell & Kelso, 1986), Akron (Costa & Hanten, 1988), Minneapolis (Mardock, 1998; Miller, 1999), New York (Scafidi, Schill, Wachter, & Culhane, 1998), and St. Paul (Brown, 1999; Myott, 1999; Villares, 1999).…”

Tax delinquency and abandonment: An expanded model with application to industrial and commercial properties

“…Second, property characteristics refer to building price, building age, lot size, floor area ratio, number of building units, accessibility, and building condition. A property in poor condition or difficult to reuse faces limited demand and thus is more likely to be abandoned (Arsen, 1992; Bell and Kelso, 1986; Bender, 1979; Hillier et al, 2003). Third, neighbourhood characteristics include variables such as residential density and share of parking lots, 3 as well as spillover effects such as the adjacency to abandoned properties (Bell and Kelso, 1986; Hillier et al, 2003).…”

“…A property in poor condition or difficult to reuse faces limited demand and thus is more likely to be abandoned (Arsen, 1992; Bell and Kelso, 1986; Bender, 1979; Hillier et al, 2003). Third, neighbourhood characteristics include variables such as residential density and share of parking lots, 3 as well as spillover effects such as the adjacency to abandoned properties (Bell and Kelso, 1986; Hillier et al, 2003). In theoretical terms, neighbourhood effects can be explained by either contagion theory or rational choice theory, though we take the latter position as set forth earlier.…”