Operations Research, Systems Engineering and Industrial Engineering Commons^™

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

Michael P. Johnson

Smart Engagement: Planning And Decision-Making In Distressed Urban Neighborhoods, Justin Hollander, Michael P. Johnson Jr., Eliza D. Whiteman

Michael P. Johnson

Course Syllabus: Ppol-G 742 Community-Based Operations Research, Michael P. Johnson Jr.

Michael P. Johnson

Community-Engaged Decision Modeling For Local Economic Development, Michael P. Johnson Jr., Sandeep Jani

Michael P. Johnson

This presentation contains current results from a research project to identify success metrics and decision opportunities for Boston Main Streets organizations. It represents an application of qualitative decision analytic methods for values and objectives design

Decision Science For Housing And Community Development: Localized And Evidence‐Based Responses To Distressed Housing And Blighted Communities: Wiley Interview, Michael P. Johnson Jr., Jeffrey Keisler, Senay Solak, David A. Turcotte, Armagan Bayram, Rachel B. Drew

Michael P. Johnson

This is an interview with staff at John Wiley & Sons regarding my book "Decision Science for Housing and Community Development: Localized and Evidence‐Based Responses to Distressed Housing and Blighted Communities" that was published by Wiley in 2015. It describes the motivation for the book, essential knowledge my co-authors and I would like each reader to take away from the book, and our assessment of the book's contribution to research and practice.

Decision Science For Housing And Community Development: Localized And Evidence‐Based Responses To Distressed Housing And Blighted Communities, Michael P. Johnson Jr., Jeffrey Keisler, Senay Solak, David Turcotte, Armagan Bayram, Rachel B. Drew

Michael P. Johnson

Data And Analytics For Neighborhood Development: Smart Shrinkage Decision Modeling In Baltimore, Maryland, Michael P. Johnson Jr., Justin Hollander, Eliza D. Whiteman

Michael P. Johnson

Many older cities in the United States confront the problem of long-term decline in population and economic activity resulting in blighted conditions that make conventional revitalization initiatives unlikely to succeed. Smart shrinkage, a planning approach that emphasizes alternative land uses while preserving quality of life, offers a way for cities to remain desirable places to live and work. However, there is little research on empirical methods to support planning decisions consistent with smart shrinkage. We present results from two studies with planners from the City of Baltimore that provide novel insights regarding ways in which planners can perform vacant property …

Data And Analytics For Neighborhood Development: Smart Shrinkage Decision Modeling In Baltimore, Maryland, Michael P. Johnson Jr., Justin Hollander, Eliza D. Whiteman

Michael P. Johnson

Electronic Supplement: Value Focused Thinking For Community-Based Organizations: Objectives And Acceptance In Local Development, Jeffrey Keisler, David A. Turcotte, Rachel B. Drew, Michael P. Johnson Jr.

Michael P. Johnson

This is an electronic supplement to the manuscript "Value Focused Thinking for Community-Based Organizations: Objectives and Acceptance in Local Development", published by the EURO Journal on Decision Processes.

Community Impacts Of Decision Modeling For Foreclosed Redevelopment, Michael P. Johnson Jr., Alvine Sangang, Buki Usidame

Michael P. Johnson

Community development corporations purchase distressed housing to rehabilitate for renter or owner-occupancy. These mission-driven organizations, skilled in the business of housing development, often lack analytic expertise to determine which acquisitions to pursue that would maximize social impact. This paper presents results, using actual purchase data from a Boston-area CDC, to assess the potential social benefits associated with using a decision model as compared to conventional practices.

Data And Analytics For Neighborhood Development: Smart Shrinkage Decision Modeling In Baltimore, Maryland, Michael P. Johnson Jr., Justin Hollander, Eliza D. Whiteman

Michael P. Johnson

Many older cities in the United States confront the problem of long-term declines in population and economic activity in certain neighborhoods have resulted in blighted conditions that make conventional revitalization initiatives based on increased residential and commercial development unlikely to succeed. Planning scholars have developed a theory of smart shrinkage in which emphasis is placed on non-residential land uses that can maintain and improve quality of life while positioning some land for future growth-oriented activities (Hollander and Németh 2011). Smart shrinkage research and practice involves application of methods from information technology and decision science to identify vacant and abandoned parcels …

Strategy Design For Community Response To Distress And Decline Using Data Analytics, Michael P. Johnson Jr.

Michael P. Johnson

The foreclosure crisis in the U.S. has resulted in immense economic and social losses for individuals and neighborhoods. Some neighborhoods face long-term declines in population and economic activity that have been compounded by the foreclosure crisis. How can government and non-profit organizations design responses to neighborhood distress that reflect distinctive community characteristics and are consistent with long-term policy and planning goals? In this talk, I discuss alternative decision modeling strategies that support neighborhood health. Where foreclosure responses are likely to ensure that neighborhoods remain vital places for residential housing, productive strategies may include property acquisition and redevelopment. Other neighborhoods, however, …

Parcel-Level Redevelopment Strategies For Distressed Neighborhoods, Michael P. Johnson Jr., Justin Hollander

Michael P. Johnson

Certain distressed neighborhoods cannot support traditional residential-focused development. For these communities, we develop decision models for acquisition and redevelopment of chronically vacant lands and structures for primarily non-residential and greening uses. We address social benefits and costs of redevelopment strategies, parcel clustering to exploit economies of scale, and conflicting values among stakeholders. We illustrate our models using data from Baltimore, MD.

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.

What Is A Strategic Acquisition? Decision Modeling In Support Of Foreclosed Housing Redevelopment, Michael P. Johnson Jr., Rachel B. Drew, Jeffrey Keisler, David Turcotte

Michael P. Johnson

This paper describes and develops a model for calculating location-based strategic values of foreclosed properties considered for acquisition and redevelopment by community development corporations (CDCs). A property’s strategic value refers to its proximity to site-specific neighborhood amenities and disamenities (e.g. schools, public transit, distressed properties), given the relative importance of that proximity to CDC organizational and community objectives. We operationalize the concept of strategic value, and apply this concept to a salient public sector decision problem. Using data and value assessments from a CDC engaged in foreclosed housing redevelopment, we compute measures of strategic value for a set of acquisition …

Michael Johnson Research Profile, Michael P. Johnson Jr.

Michael P. Johnson

This document summarizes my disciplinary training and my research products.

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.