Digital Commons Network^™

Decision Models For Foreclosed Housing Acquisition And Redevelopment: A University Of Massachusetts Multi-Campus Collaborative Project - Processes And Findings To Date, Michael P. Johnson Jr., Jeffrey Keisler, Senay Solak, David Turcotte, Rachel B. Drew, Armagan Bayram, Emily Vidrine

Michael P. Johnson

The recent housing foreclosure crisis has had devastating impacts on individuals, communities, organizations and government. In response, several community development corporations (CDCs) have sought new ways to assist neighborhoods suffering from the myriad effects of high foreclosures, including neighborhood instability, increased vandalism and crime, lower property values, and economic disinvestment. This research project focuses on activities of community-based organizations that acquire and redevelop foreclosed properties to support neighborhood stabilization and revitalization. However, the costs of pursuing this strategy far exceed the resources available to typical CDCs. Thus, our project seeks to solve the following decision problem: What subset of a …

Can Housing Mobility Programs Make A Long-Term Impact On The Lives Of Poor Families And The Health Of Middle-Class Communities: A Policy Simulation, Michael P. Johnson, Jonathan Caulkins

Michael P. Johnson

Housing mobility programs enable families living in high-poverty neighborhoods to relocate to lower-poverty neighborhoods using tenant-based subsidies. Recent research indicates that these programs improve participant outcomes on a number of economic and social outcomes. Can such programs be run at a scale sufficient to help a large proportion of eligible families? Would doing so change the character of lower-poverty neighborhoods or have other macro demographic or economic effects? This paper applies policy simulation to a stylized representation of a housing mobility program to give a sense of scale and proportion for what a “full scale” mobility program might entail.

Results …

Hidden Strategic Challenges Posed By Housing Mobility Policy: An Application Of Dynamic Policy Modeling, Michael P. Johnson, Jonathan P. Caulkins, Gustav Feichtinger, Gernot Tragler, Yuri Yegorov

Michael P. Johnson

Over the past decade, shifts in subsidized and affordable housing policy have led to a greater role for market dynamics and individual choice on the part of program participants and their new neighbors, and a greater awareness of the importance of neighborhood on family outcomes. Given these trends, there is an opportunity for innovative prescriptive planning models to assist in the design of policy related to regional housing mobility. The goal of this paper is to identify, and answer, some housing policy analytic questions with these models.

The fundamental question motivating this paper is the following: over the long run, …

Senior Center Network Redesign Under Demand Uncertainty, Osman Ozaltin, Michael P. Johnson Jr., Andrew Schaefer

Michael P. Johnson

Senior centers off#11;er a variety of services to facilitate independent living of older adults. In the U.S., increasing suburbanization and aging of suburban residents necessitate reconfiguring senior services. We propose a two-echelon network of senior centers across large study areas and formulate a stochastic facility location/allocation model with mixed-integer recourse. We apply our model to Allegheny County, Pennsylvania, which has one of the oldest population in the U.S. Our model shows that a two-echelon network design is appropriate for increasing the occupancy of senior centers as community focal points while maintaining customized and accessible programming in small neighborhood areas.

Housing And Community Development, Michael P. Johnson Jr.

Michael P. Johnson

No abstract provided.

Public Policy Phd Program Large-Format Brochure, Michael P. Johnson Jr.

Michael P. Johnson

No abstract provided.