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Social and Behavioral Sciences Commons™
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- Keyword
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- Housing and Community Development (6)
- Public-sector operations research (4)
- Low-Income Service Delivery (3)
- Urban and regional planning (3)
- Municipal shrinkage (2)
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- Public Policy PhD program (2)
- Administrative (1)
- Big data; Analytics; Community-based organizations (1)
- Community OR (1)
- Community learning (1)
- Community-based organizations (1)
- Community-engaged partnerships (1)
- Community-engaged scholarship (1)
- Cost-benefit analysis (1)
- Decision models (1)
- Development (1)
- Foreclosed housing (1)
- Heuristics (1)
- Human services (1)
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- Markov chains (1)
- Mixed-methods (1)
- Multi-objective (1)
- Program evaluation (1)
- Public administration (1)
- Public-sector facility location (1)
- Service learning (1)
- Smart decline; municipal shrinkage; Baltimore (1)
- Vacant land (1)
- Vehicle Routing (1)
- File Type
Articles 1 - 9 of 9
Full-Text Articles in Social and Behavioral Sciences
Parcel-Level Redevelopment Strategies For Distressed Neighborhoods, Michael P. Johnson Jr., Justin Hollander
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.
Practicum 2012 - 2013: Lift Boston Client Well Being Study, Lisa Kalimon, Buki Usidame, Ryan Kling, Ryan Mclane, Ryan Whalen, Ana M. Sanchez, Tanya Stepasiuk, Michael P. Johnson Jr.
Practicum 2012 - 2013: Lift Boston Client Well Being Study, Lisa Kalimon, Buki Usidame, Ryan Kling, Ryan Mclane, Ryan Whalen, Ana M. Sanchez, Tanya Stepasiuk, Michael P. Johnson Jr.
Michael P. Johnson
A Boston based non-profit and a team of public policy PhD students engaged in several months of collaborative problem identification and goal setting focused on the effectiveness of the organization’s unique service delivery model. The nonprofit uses volunteer advocates and a goal-oriented process with no eligibility criteria to assist clients in distress. We collected administrative data, administered a survey, and conducted interviews to explore client well-being.
Community-Based Analytics: Big Data And Decision Making For Community-Based Organizations, Michael P. Johnson Jr.
Community-Based Analytics: Big Data And Decision Making For Community-Based Organizations, Michael P. Johnson Jr.
Michael P. Johnson
Community-based organizations face significant challenges in identifying data needs, and assembling data resources for service provision, strategy design and advocacy. We develop principles by which CBOs can develop and share large datasets in order to formulate and solve decision problems that improve the well-being of localized, often marginalized or distressed communities. We illustrate these ideas using field research from Boston, MA.
Fall 2013 Office Schedule, Michael P. Johnson Jr.
Fall 2013 Office Schedule, Michael P. Johnson Jr.
Michael P. Johnson
No abstract provided.
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 …
Uplifting: Improvements In Boston Area Client Well-Being, Ryan Kling, Lisa Kalimon, Tanya Stepasiuk, Bukola Usidame, Ryan Mclane, Ryan Whalen, Ana Maria Sanchez, Michael P. Johnson Jr.
Uplifting: Improvements In Boston Area Client Well-Being, Ryan Kling, Lisa Kalimon, Tanya Stepasiuk, Bukola Usidame, Ryan Mclane, Ryan Whalen, Ana Maria Sanchez, Michael P. Johnson Jr.
Michael P. Johnson
LIFT-Boston, a local non-profit organization, entered into a collaborative partnership in September 2012 with McCormack Graduate School Public Policy Ph.D. students and faculty to develop and execute a research project. The goals of this endeavor were to assist LIFT-Boston in understanding the outcomes associated with its services and enable the organization to further pursue service goals. The primary research questions respond to the organization’s most fundamental questions. These include how the organization’s unique service model impacts clients across several objective and subjective dimensions of well-being. Secondary questions focus on how these impacts may translate into increases or decreases in student …
Decision Modeling For Local Housing Development: ‘Strategic Value’ And Other Social Impact Measures, Michael P. Johnson Jr.
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.
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.