Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 3 of 3
Full-Text Articles in Entire DC Network
Property Value Impacts Of Foreclosed Housing Acquisitions Under Uncertainty, Michael P. Johnson Jr., Senay Solak, Rachel B. Drew, Jeffrey Keisler
Property Value Impacts Of Foreclosed Housing Acquisitions Under Uncertainty, Michael P. Johnson Jr., Senay Solak, Rachel B. Drew, Jeffrey Keisler
Michael P. Johnson
Community development corporations seek to stabilize neighborhoods affected by the recent foreclosure crisis through acquisition and redevelopment of distressed properties. One rationale for this work is the alleviation or avoidance of negative foreclosure impacts. We estimate the lost value to proximate properties associated with a single foreclosure through a Markov chain representing probabilistic transitions between foreclosure stages. We apply our model to a case study of foreclosure properties in Chelsea, MA. A rank ordering by estimated property value impacts indicates significant potential gains in social value as compared to current community development practice. We extend our basic model to address …
Maintain, Demolish, Re-Purpose: Policy Design For Vacant Land Management Using Decision Models, Michael P. Johnson Jr., Justin Hollander, Alma Hallulli
Maintain, Demolish, Re-Purpose: Policy Design For Vacant Land Management Using Decision Models, Michael P. Johnson Jr., Justin Hollander, Alma Hallulli
Michael P. Johnson
Decline, measured in population growth rates, population levels, housing stock and economic activity, and associated increases in vacant land in urban areas, is a reality for cities and regions within the United States. However, planners increasingly see ‘decline’ as a development state to anticipate and a development strategy to consider. For example, a place may lose population while continuing to provide a high quality of life and social value. Vacant land is central to planning issues related to decline: some currently-occupied housing may likely become abandoned and demolished, yielding vacant lots, while some currently vacant lots may be inputs to …
Planning For Meals-On-Wheels: Algorithms And Application, Hakan Yildiz, Michael P. Johnson Jr., Stephen Roehrig
Planning For Meals-On-Wheels: Algorithms And Application, Hakan Yildiz, Michael P. Johnson Jr., Stephen Roehrig
Michael P. Johnson
Home-Delivered Meals provision, also known as Meals-on-Wheels, is a volunteer-staffed activity for which little strategic planning is performed. We develop a Memetic Algorithm to solve the Home Delivered Meals Location Routing Problem. This planning model addresses facility location, allocation of demand to facilities, and design of delivery routes, while balancing efficiency and effectiveness considerations. The case study presented on a large data set shows how trade-off curves, which are very useful for decision making, can be obtained by the method developed.