Tomlin, C. Dana

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  • Publication
    PhillydotMap: The Shape of Philadelphia
    (2009-10-01) Branas, Charles; Davitt, Joan K; Hillier, Amy; Cheetham, Robert; Cheetham-Richard, Rachel; Cohen, Rachel B; Decker, Joan; Heckert, Megan; Steinberg, Harris; Sullivan-Marx, Eileen; Hutchins, Jason; Tomlin, C. Dana; Kerman, Lucy; Volpe, Stella; Lechner, Zachary L; Wiebe, Douglas; McLarnon, Michael; Newlin, Heather; Scholssberg, Dina; Wormley, Diane-Louise
    This book is the outgrowth of a working group entitled, “Modeling Urban Environmental Impacts on Health, Development, and Behavior" sponsored by the University of Pennsylvania Institute for Urban Research. The purpose of the working gropu was to engage faculty from across campus and to encourage their collaborative use of GIS technology in the modeling of urban form and function. These ten chapters represent a wide range of GIS applications, from community-based social services to public history to social science research.
  • Publication
    Predicting Housing Abandonment with the Philadelphia Neighborhood Information System
    (2003-01-01) Hillier, Amy E; Culhane, Dennis P.; Smith, Tony E; Tomlin, C. Dana
    Several large US cities, including Chicago, Los Angeles, New York, and Philadelphia, have developed information systems to distribute property-level housing data to community organizations and municipal agencies. These early warning systems are also intended to predict which properties are at greatest risk of abandonment, but they have rarely used statistical modeling to support such forecasts. This study used logistic regression to analyze data from the Philadelphia Neighborhood Information System in order to determine which properties were most likely to become imminently dangerous. Several different characteristics of the property, including whether it was vacant, had outstanding housing code violations, and tax arrearages as well as characteristics of nearby properties were identified as significant predictors. Challenges common to the development of early warning systems - including integrating administrative data, defining abandonment, and modeling temporal and spatial data - are discussed along with policy implications for cities like Philadelphia that have thousands of vacant and abandoned properties.