Social and Behavioral Sciences Commons^™

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, …

Public Policy Phd Program 2010 Policies And Procedures Manual, Michael P. Johnson Jr.

Michael P. Johnson

No abstract provided.

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.

Robust Placement Of Sensors In Dynamic Water Distribution Systems, Jianhua Xu, Michael Johnson, Paul Fischbeck, Mitchell Small, Jeanne Vanbriesen

Michael P. Johnson

Designing a robust sensor network to detect accidental contaminants in water distribution systems is a challenge given the uncertain nature of the contamination events (what, how much, when, where and for how long) and the dynamic nature of water distribution systems (driven by the random consumption of consumers). We formulate a set of scenario-based minimax and minimax regret models in order to provide robust sensor-placement schemes that perform well under all realizable contamination scenarios, and thus protect water consumers. Single-and multi objective versions of these models are then applied to a real water distribution system. A heuristic solution method is …

Social Networks And Physician Adoption Of Electronic Health Records: Insights From An Empirical Study, Kai Zheng, Rema Padman, David Krackhart, Michael Johnson, Herbert Diamond

Michael P. Johnson

Objective: To study how social interactions influence physician adoption of an electronic health records (EHR) system. Design: A social network survey was used to delineate the structure of social interactions among 40 residents and 15 attending physicians in an ambulatory primary care practice. Social network analysis was then applied to relate the interaction structures to individual physicians’ utilization rates of an EHR system. Measurements: The social network survey assessed three distinct types of interaction structures: professional network based on consultation on patient care-related matters; friendship network based on personal intimacy; and perceived influence network based on a person’s perception of …

National Science Foundation Funded Project: "Collaborative Proposal: Decision Models For Foreclosed Housing Acquisition And Redevelopment", Michael Johnson, Jeffrey Keisler, Senay Solak, David Turcotte

Michael P. Johnson

The recent housing foreclosure crisis has had devastating impacts on individuals and their communities. To mitigate some of these impacts a number of community-based organizations are acquiring foreclosed properties in efforts to support neighborhood stabilization and revitalization. Examples of actions taken on these foreclosed properties include: land-banking, rehabilitation, demolition and re-sale or/re-rental. These actions have the potential to minimize blight, reduce unanticipated housing mobility, and provide affordable housing opportunities. However, the cost of pursuing any or all of these strategies to their fullest extent far exceeds the resources available to typical community-based organizations. In this research project, the PIs will …

What Foreclosed Homes Should A Municipality Purchase To Stabilize Vulnerable Neighborhoods?, Michael Johnson

Michael P. Johnson

Over the past 3 years, increased rates of mortgage foreclosures in the U.S. have resulted in widespread bankruptcies of financial institutions and massive losses of consumer wealth. The effects have been especially pronounced in economically vulnerable regions. In response, municipalities and community-based organizations provide a variety of services to mitigate the effects of foreclosures. Purchases of foreclosed properties represent a particularly attractive strategy because they have the potential to minimize blight, reduce unanticipated housing mobility, and to provide affordable homeownership opportunities. Since the cost of such purchases far exceeds the resources available in most urban centers, not-for-profit managers must solve …

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.