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Archival Journal Publications of Pablo L.
Durango-Cohen |
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Links: Home Teaching Students Alumni Education |
1. Zhang, W. and Durango-Cohen, P.L. (2013),
``Explaining heterogeneity in pavement deterioration: A clusterwise linear regression
model'', to appear {\it Journal of Infrastructure Systems}. 2. Kosnik, D.E., Zhang, W., and Durango-Cohen, P.L.
(2013), ``An application of statistical process control for structural health
monitoring of a historic building'', to appear {\it Journal of Infrastructure
Systems}. 3. Chen, Y., Corr, D.J., and Durango-Cohen, P.L.
(2014), “Analysis
of common-cause and special-cause variation in the deterioration of transportation
infrastructure: A field
application of statistical process control for structural health monitoring”,
Transportation Research Part B: Methodological, 59(1), pp.
96--116. 4. Durango-Cohen, P.L., Durango-Cohen, E.J., and
Torres, R.L. (2013), “A
Bernoulli-Gaussian mixture model of donation likelihood and monetary
value: An application to alumni
segmentation in a university setting”, Computers and Industrial Engineering, 66(4), pp. 1085--1095. 5. Durango-Cohen, E.J., Torres, R.L., and
Durango-Cohen, P.L. (2013), “Donor
segmentation: When summary
statistics don't tell the whole story”, Journal of Interactive Marketing, 27(3), pp. 172--184. 6. Durango-Cohen, P.L., Durango-Cohen, E.J., and Zhang,
W. (2012), “A
clusterwise linear regression model of alumni giving”, International Journal of Education
Economics and Development, 3(4), pp. 330--347. 7. Zhang, Z. and Durango-Cohen, P.L. (2012), “A
strategic model of public-private partnerships in transportation: Effect of taxes and cost structure on
investment viability”, Research
in Transportation Economics, 36(1), pp. 9--18. 8. McKenzie, E.C. and Durango-Cohen, P.L. (2012),
“Environmental
life-cycle assessment of transit buses with alternative fuel technology”,
Transportation Research Part D: Transport and Environment, 17(1),
pp. 39--47. 9. Lascano, M.E. and Durango-Cohen, P.L. (2012),
“The
transportation systems of Buenos Aires, Chicago and Sao Paulo: City centers, infrastructure and
policy analysis”, Transportation
Research Part A: Policy and
Practice, 46(1), pp. 102--122. 10. Lindsey, M., Schofer, J., Durango-Cohen, P.L. and
Gray, K. (2011), “The
effect of residential location on vehicle miles of travel, energy consumption
and greenhouse gas emissions: Chicago case study”, Transportation Research Part D: Transport and Environment, 16(1),
pp. 1--9. 11. McKenzie, E.C. and Durango-Cohen, P.L. (2010),
“An
input-output approach for the efficient design of sustainable goods and
services”, The International
Journal of Life Cycle Assessment, 15(9), pp. 946--961. 12. Lindsey, M., Schofer, J., Durango-Cohen, P.L. and
Gray, K. (2010), “Relationship
between proximity to transit and ridership for journey-to-work trips in
Chicago”, Transportation
Research Part A: Policy and Practice, 44(9), pp. 697--709. 13. Durango-Cohen, P.L. and Sarutipand, P. (2009),
“Maintenance
optimization for transportation systems with demand responsiveness”,
Transportation Research Part C:
Emerging Technologies, 17(4), pp. 337--348. 14. Durango-Cohen, P.L. and Madanat, S. (2008), “Optimization
of inspection and maintenance decisions for infrastructure facilities under
performance model uncertainty: A
Quasi-Bayes approach”, Transportation
Research Part A: Policy and Practice, 42(8), pp. 1074--1085. 15. Chu, C.-Y. and Durango-Cohen, P.L. (2008), “Empirical
comparison of statistical pavement performance models”, Journal of Infrastructure Systems,
14(2), pp. 138--149. 16. Chu, C.-Y. and Durango-Cohen, P.L. (2008), “Incorporating
maintenance effectiveness in the estimation of dynamic infrastructure
performance models”, Computer-Aided
Civil and Infrastructure Engineering, 23(3), pp. 174--188. 17. Chu, C.-Y. and Durango-Cohen, P.L. (2008), “Estimation
of dynamic performance models for transportation infrastructure using panel
data”, Transportation Research Part B: Methodological, 42(1), pp. 57--81. 18. Durango-Cohen, P.L. and Sarutipand, P. (2007),
“Capturing
interdependencies and heterogeneity in the management of multifacility transportation
infrastructure systems”, Journal
of Infrastructure Systems, 13(2), pp. 115--123. 19. Durango-Cohen, P.L. (2007), “A
time series analysis framework for transportation infrastructure management”,
Transportation Research Part B: Methodological, 41(5), pp.
493--505. 20. Chu, C.-Y. and Durango-Cohen, P.L. (2007), “Estimation
of infrastructure performance models using state-space specifications of time
series models”, Transportation
Research Part C: Emerging
Technologies, 15(1), pp. 17--32. 21. Durango-Cohen, P.L. and Tadepalli, N. (2006),
“Using
advanced inspection technologies to support investments in maintenance and
repair of transportation infrastructure facilities”, Journal of Transportation Engineering,
132(1), pp. 60--68. 22. Childress, S. and Durango-Cohen, P.L. (2005),
“On
parallel machine replacement problems with general replacement cost functions
and stochastic deterioration”, Naval
Research Logistics, 52(5), pp. 409--419. 23. Durango-Cohen, P.L. (2004), “Maintenance
and repair decision making for infrastructure facilities without a
deterioration model”, Journal
of Infrastructure Systems, 10(1), pp. 1--8. 24. Guillaumot, V., Durango-Cohen, P.L. and Madanat, S.
(2003), “Adaptive
optimization of infrastructure maintenance and inspection decisions under
performance model uncertainty”, Journal
of Infrastructure Systems, 9(4), pp. 133--139. 25. Madanat, S., Durango-Cohen, P.L. and Guillaumot, V.
(2003), “Inspection, prediction and decision-making in infrastructure
management: Framework, models and
computation”, Japanese Society of
Civil Engineering Journal of Infrastructure Planning and Management, No.
744/IV-61, pp. 1--10. 26. Durango, P.L. and Madanat, S. (2002), “Optimal
maintenance and repair policies in infrastructure management under uncertain
facility deterioration rates: An
adaptive control approach”, Transportation
Research Part A: Policy and
Practice, 36(9), pp. 763--778. |