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Predictive analytics can facilitate proactive property vacancy policies for cities · Study

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ArticlePredictive analytics can facilitate proactive property vacancy policies for cities

Sheila U. Appel2013

Article2013

Predictive analytics can facilitate proactive property vacancy policies for cities

Sheila U. Appel · Derek Botti · Leslie Plant · Jing Shyr · Lav R. Varshney

25 citations·0/0 files stored·Technological Forecasting and Social Change

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Urbanization and City Planning Housing Market and Economics Urban, Neighborhood, and Segregation Studies

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References

2013The Origins of Scaling in Cities 2007Competing on Analytics: The New Science of Winning 2010A unified theory of urban living 2007Competing on analytics: the new science of winning 2008Greening the Rust Belt: A Green Infrastructure Model for Right Sizing America's Shrinking Cities 2000Addressing the Vacant and Abandoned Property Problem 2012Dawn of the Dead City: An Exploratory Analysis of Vacant Addresses in Buffalo, Ny 2008–2010 2001Abandoned housing: Exploring lessons from baltimore

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2022Vacancy Dwellings Spatial Distribution—The Determinants and Policy Implications in the City of Sapporo, Japan 2020Using Integrated City Data and Machine Learning to Identify and Intervene Early on Housing-Related Public Health Problems 2024Lessons from a Human-in-the-Loop Machine Learning Approach for Identifying Vacant, Abandoned, and Deteriorated Properties in Savannah, Georgia

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Year2013

Typearticle

Published2013-10-01

VenueTechnological Forecasting and Social Change

ISSN-L0040-1625

Languageen

Citations25

Files0 public / 0

ShelfUrbanization and City Planning

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doi10.1016/j.techfore.2013.08.028

openalex_workW1973147640

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