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Public Affairs, Public Policy and Public Administration

Michael P. Johnson

Data analytics

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Articles 1 - 5 of 5

Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering

Decision Modeling For Housing And Community Development: A Methodology For Evidence-Based Urban And Regional Planning, Michael P. Johnson Jr. Aug 2017

Decision Modeling For Housing And Community Development: A Methodology For Evidence-Based Urban And Regional Planning, Michael P. Johnson Jr.

Michael P. Johnson

Urban community development corporations and other local institutions routinely face challenging problems in housing and economic development that require substantial expertise in data analytics and decision modeling. Recent research, inspired by local responses to the housing foreclosure crisis, and developed in cooperation with Boston-area CDCs, has resulted in a collection of applications that can assist CDCs and similar organizations to design local interventions for acquisition and redevelopment of housing. This paper describes these applications. The first of these is values and objective design, i.e. the process of identifying decision opportunities. The second of these is data analytics, or …

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Smart Engagement: Planning And Decision-Making In Distressed Urban Neighborhoods, Justin Hollander, Michael P. Johnson Jr., Eliza D. Whiteman Dec 2015

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

Michael P. Johnson

This book addresses the challenges and opportunities associated with the use of decision science and information technologies to help stabilize and revitalize distressed urban communities in the United States.

While cities in the U.S. grow and decline at various rates and for different underlying reasons, neighborhoods within cities that have faced sustained demographic and socio-economic challenges over time may have multiple factors in common, such as physical blight, widespread vacancies, underserved and marginalized populations and, in some cases, local markets that do not respond to traditional economic development strategies. These distressed communities are often indicative of high levels of spatial …

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Data And Analytics For Neighborhood Development: Smart Shrinkage Decision Modeling In Baltimore, Maryland, Michael P. Johnson Jr., Justin Hollander, Eliza D. Whiteman Jul 2015

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 …

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Data And Analytics For Neighborhood Development: Smart Shrinkage Decision Modeling In Baltimore, Maryland, Michael P. Johnson Jr., Justin Hollander, Eliza D. Whiteman Jun 2015

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 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 …

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Strategy Design For Community Response To Distress And Decline Using Data Analytics, Michael P. Johnson Jr. Oct 2014

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, …

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