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.
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 …
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 …
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, …
