Urban Studies Commons^™

Community-Engaged Operations Research: Trends, New Frontiers And Current Applications, Michael P. Johnson Jr.

Michael P. Johnson

Decision Modeling For Local Housing Development: ‘Strategic Value’ And Other Social Impact Measures, Michael P. Johnson Jr.

Michael P. Johnson

Acquisition and redevelopment of foreclosed properties by community organizations helps to mitigate the social impacts of foreclosures on neighborhoods and residents. Social impacts can be measured in a variety of ways: (a) Strategic value of foreclosed property locations (b) Averted lost value to proximate properties Models can estimate magnitudes of such effects to identify potential acquisition candidates and social impacts of alternative development strategies. Application of models to a local case study demonstrates how these measures can be used in practice.

Maintain, Demolish, Re‐Purpose: Policy Design For Vacant Land Management Using Decision Models, Michael P. Johnson Jr., Justin Hollander, Alma Hallulli

Michael P. Johnson

Neighborhoods, cities, regions and countries face sustained economic and population decline, due to lower population growth rates, deindustrialization and sustained disinvestment, and the housing foreclosure crisis. Planners increasingly see ‘decline’ as something to plan for: a place may lose population while ensuring a high quality of life and enhanced social value (Delken 2008, Hollander 2010). Growth-oriented planning continues to maintain its hegemony over local government decision-making. Can decision models help planners devise strategies that will maximize the social value of managed decline?

Decison Models For Housing And Community Development, Michael P. Johnson Jr.

Michael P. Johnson

Values, Objectives, And Decisions: Using Community-Based Operations Research For Neighborhood Redevelopment, Michael P. Johnson Jr., Rachel B. Drew, Jeffrey Keisler, David Turcotte

Michael P. Johnson

In this presentation we describe an application of value-focused thinking and decision analysis to the design and evaluation of strategies for housing development especially in urban communities affected by the ongoing foreclosure crisis. This is part of a multi-campus, multi-disciplinary effort to study decision processes of community development corporations (CDCs) acquiring and redeveloping foreclosed properties for neighborhood stabilization.

Michael Johnson Research Profile, Michael P. Johnson Jr.

Michael P. Johnson

This document summarizes my disciplinary training and my research products.

Community-Engaged Decision Support For Foreclosed Housing Acquisition And Redevelopment In Boston, Michael P. Johnson Jr.

Public Policy and Public Affairs Faculty Publication Series

This project develops decision tools and analytical methods to help non‐profit community development corporations (CDCs) acquire and redevelop foreclosed housing for neighborhood stabilization and revitalization. Interviews and direct observations at partner CDCs have helped us identify current practices, data and requirements for our decision models. Problem‐structuring methods through CDC focus groups have generated core operational and organizational objectives. Spreadsheet‐ and optimization based decision models generate policy and operational alternatives that address multiple resident and community outcomes. Our research will support efficient responses to the recent foreclosure crisis, especially in distressed neighborhoods, and suggest policy implications at local and national levels.

Community-Engaged Decision Support For Foreclosed Housing Acquisition And Redevelopment In Boston, Michael P. Johnson Jr.

Michael P. Johnson

This project develops decision tools and analytical methods to help non‐profit community development corporations (CDCs) acquire and redevelop foreclosed housing for neighborhood stabilization and revitalization. Interviews and direct observations at partner CDCs have helped us identify current practices, data and requirements for our decision models. Problem‐structuring methods through CDC focus groups have generated core operational and organizational objectives. Spreadsheet‐ and optimization based decision models generate policy and operational alternatives that address multiple resident and community outcomes. Our research will support efficient responses to the recent foreclosure crisis, especially in distressed neighborhoods, and suggest policy implications at local and national levels.

Decision Models For Housing And Community Development, Michael P. Johnson Jr.

Public Policy and Public Affairs Faculty Publication Series

Decision science provides tools and methods to support strategy design and operations in housing and community development by generating guidance regarding the number, type, location and development process of housing units in order to balance objectives such as social benefits and costs, tenure mix and equity. These decision models address the needs of multiple stakeholders, reflect the public and private nature of housing, and incorporate best-available evidence regarding markets, policies and impacts of housing and community development. This chapter reviews applications over the past 30 years and describe current applications in decision support for housing and community development, including: affordable …

Community-Based Operations Research: Introduction, Theory And Applications, Michael P. Johnson Jr.

Public Policy and Public Affairs Faculty Publication Series

Community-based operations research is the name of a new sub-discipline within operations research and the management sciences. CBOR synthesizes previous practice and research traditions within OR/MS to address problems within the public sector that are often of a localized nature, that address the concerns of citizens affiliated through characteristics of race, ethnicity and class and other ties and that are solved using diverse qualitative and quantitative methods. Solutions to these problems are developed and implemented by formal and informal organizations, and embody a critical perspective towards traditional notions of decisionmakers, stakeholders and analytic methods. The most proximate antecedents of CBOR …

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

Public Policy and Public Affairs Faculty Publication Series

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 …

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 …

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.