Predictive analytics can facilitate proactive property vacancy policies for cities

Technological Forecasting and Social Change

Volumn 89, Issue , 2014, Pages 161-173

  Appel, Sheila U ^a   Botti, Derek ^a   Jamison, James ^a   Plant, Leslie ^a   Shyr, Jing Y ^a   Varshney, Lav R ^a  

^a IBM T J WATSON RESEARCH CENTER   (United States)

Author keywords

Predictive analytics; Property vacancy; Systems of systems; Urban planning

Indexed keywords

ARTIFICIAL INTELLIGENCE; DATA MINING; DECISION MAKING; LEARNING SYSTEMS; URBAN PLANNING;

HIGH-ACCURACY; NEW YORK; POLICY DEVELOPMENT; PREDICTIVE ANALYTICS; SOCIOTECHNICAL SYSTEMS; SYRACUSE; SYSTEMS OF SYSTEMS;

SYSTEMS ENGINEERING;

ACCURACY ASSESSMENT; DECISION MAKING; HOLISTIC APPROACH; POLICY DEVELOPMENT; URBAN DEVELOPMENT; URBAN PLANNING; URBAN POLICY;

NEW YORK [UNITED STATES]; SYRACUSE; UNITED STATES;

EID: 85027926737     PISSN: 00401625     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.techfore.2013.08.028     Document Type: Article

References (30)

1. IBM IBM's Smarter Cities Challenge Syracuse Report 2011.
2. Safford S. Why the Garden Club Couldn't Save Youngstown: The Transformation of the Rust Belt 2009, Harvard University Press, Cambridge, MA.
3. Mikelbank B.A. Spatial analysis of the impact of vacant, abandoned and foreclosed properties. Technical report 2008, Federal Reserve Bank of Cleveland.
4. Accordino J., Johnson G.T. Addressing the vacant and abandoned property problem. J. Urban Aff. 2000, 22:301-315.
5. Cohen J.R. Abandoned housing: exploring lessons from Baltimore. Hous. Policy Debate 2001, 12:415-448.
6. Helmholdt N.G. Neighborhood Effects of Physical Interventions to Abandoned Housing 2009, Cornell University, (Master's thesis).
7. Schilling J., Logan J. Greening the rust belt: a green infrastructure model for right sizing America's shrinking cities. J. Am. Plan. Assoc. 2008, 74:451-466.
8. Bassett E.M. Understanding housing abandonment and owner decision-making in flint, Michigan: an exploratory analysis. Technical report WPE06EB1 2006, Lincoln Institute of Land Policy.
9. Silverman R.M., Yin L., Patterson K.L. Dawn of the dead city: an exploratory analysis of vacant addresses in Buffalo, NY 2008-2010. J. Urban Aff. 2013, 35(2):131-152.
10. Hillier A.E., Culhane D.P., Smith T.E., Tomlin C.D. Predicting housing abandonment with the Philadelphia neighborhood information system. J. Urban Aff. 2003, 25:91-106.
11. Wachsmuth D., Pasternak S. Use it or lose it: Toronto's "abandonment issues" campaign for affordable housing. Crit. Plann. 2008, 15:7-22.
12. de Weck O.L., Roos D., Magee C.L. Engineering Systems: Meeting Human Need in a Complex Technological World 2011, MIT Press, Cambridge, MA.
13. Apte C.V., Hong S.J., Natarajan R., Pednault E.P.D., Tipu F.A., Weiss S.M. Data-intensive analytics for predictive modeling. IBM J. Res. Dev. 2003, 47:17-23.
14. Davenport T.H., Harris J.G. Competing on Analytics: The New Science of Winning 2007, Harvard Business School Press, Boston.
15. Varshney K.R., Mojsilović A. Business analytics based on financial time series. IEEE Signal Process. Mag. 2011, 28:83-93.
16. Messinger P.R. Municipal Service Delivery: A Multi-stakeholder Framework. Human Factors and Ergonomics in Manufacturing & Service Industries 2013, 23(1):37-46.
17. Bettencourt L., West G. A unified theory of urban living. Nature 2010, 467:912-913.
18. Changizi M.A., Destefano M. Common scaling laws for city highway systems and the mammalian neocortex. Complexity 2010, 15:11-18.
19. Bettencourt L.M.A. The origins of scaling in cities. Science 2013, 340:1438-1441.
20. Harrison C., Eckman B., Hamilton R., Hartswick P., Kalagnanam J., Paraszczak J., Williams P. Foundations for smarter cities. IBM J. Res. Dev. 2010, 54:1:1-1:16.
21. Naphade M., Banavar G., Harrison C., Paraszczak J., Morris R. Smarter cities and their innovation challenges. IEEE Comput. 2011, 44:32-39.
22. Driscoll P., Owens S., Walsh B., Maxwell A.M., Kearney S. Syracuse housing plan, technical report, City of Syracuse 2010.
23. Koller D., Friedman N. Probabilistic Graphical Models: Principles and Techniques 2009, MIT Press, Cambridge, MA.
24. Agarwal S., Graepel T., Herbrich R., Har-Peled S., Roth D. Generalization bounds for the area under the ROC curve. J. Mach. Learn. Res. 2005, 6:393-425.
25. Breiman L. Random forests. Mach. Learn. 2001, 45:5-32.
26. Kass G.V. An exploratory technique for investigating large quantities of categorical data. Appl. Stat. 1980, 29:119-127.
27. Cortes C., Mohri M. AUC optimization vs. error rate minimization. Advances in neural information processing systems 16 2004, MIT Press, Cambridge, MA. S. Thrun, L. Saul, B. Schölkopf (Eds.).
28. Kotłowski W., Dembczyński K., Hüllermeier E. Bipartite ranking through minimization of univariate loss. Proceedings of the 28th International Conference on Machine Learning (ICML 2011) 2011, 1113-1120.
29. Clémençon S., Vayatis N. Tree-based ranking methods. IEEE Trans. Inf. Theory 2009, 55:4316-4336.
30. Knauss T. Syracuse Mayor Proposes Crackdown on Vacant Homes 2013, The Post-Standard.