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Social and Behavioral Sciences

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Michael P. Johnson

Shrinking cities

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Articles 1 - 3 of 3

Full-Text Articles in Engineering

Smart Shrinkage: Better Planning And Decision-Making For Legacy Cities, Michael P. Johnson Jr. Oct 2019

Smart Shrinkage: Better Planning And Decision-Making For Legacy Cities, Michael P. Johnson Jr.

Michael P. Johnson

Neighborhoods, cities and regions facing long-term declines in population and economic activity may consider alternative responses, such as revitalization, regeneration, shrinkage and abandonment. In this presentation I show that planning decisions intended to improve quality of life, informed by qualitative and quantitative data and analytic methods, implemented through accessible and affordable technologies, and based on notions of social impact and social justice, can enable residents to play a leading role in the positive transformation of shrinking cities and
distressed communities.

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Community Data Analytics: Localized Data Analysis And Decision Modeling In The Era Of ‘Big Data’ And ‘Smart Cities’, Michael P. Johnson Jr. Jan 2017

Community Data Analytics: Localized Data Analysis And Decision Modeling In The Era Of ‘Big Data’ And ‘Smart Cities’, Michael P. Johnson Jr.

Michael P. Johnson

Community-based organizations use data for program design, services provision and strategic planning. However, CBOs often have limited ability to identify, access and apply these data. Thus, CBOs may make decisions on the basis of inadequate data, or limited understanding of the local environment, or limited ability to generate mission-aligned solutions.Community data analytics (CDA) uses local know-how and clearly-articulated values in order to transform data into action. CDA is rooted in principles of operations research and management science for public benefi#12;t. These principles include: active participation by local stakeholders to identify problems of interest; a critical perspective on issues of problem …

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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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