TY - GEN
T1 - Data and analytics for neighborhood development
T2 - Computers in Urban Planning and Urban Management Conference, CUPUM 2015
AU - Johnson, Michael P.
AU - Hollander, Justin B.
AU - Whiteman, Eliza Davenport
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015
Y1 - 2015
N2 - 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 redevelopment using methods from data analytics and decision science. This study provides a foundation for practitioners to make better use of large volumes of data describing blighted communities, accommodate diverse attitudes about policy and planning responses to blight, and judiciously apply advanced methods in data analysis and decision models.
AB - 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 redevelopment using methods from data analytics and decision science. This study provides a foundation for practitioners to make better use of large volumes of data describing blighted communities, accommodate diverse attitudes about policy and planning responses to blight, and judiciously apply advanced methods in data analysis and decision models.
UR - https://www.scopus.com/pages/publications/84937409293
UR - https://www.scopus.com/pages/publications/84937409293#tab=citedBy
U2 - 10.1007/978-3-319-18368-8_4
DO - 10.1007/978-3-319-18368-8_4
M3 - Conference contribution
AN - SCOPUS:84937409293
T3 - Lecture Notes in Geoinformation and Cartography
SP - 61
EP - 76
BT - Planning Support Systems and Smart Cities
A2 - Goodspeed, Robert
A2 - Ferreira, Joseph
A2 - Stillwell, John
A2 - Geertman, Stan
PB - Kluwer Academic Publishers
Y2 - 7 July 2015 through 10 July 2015
ER -