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Papers

Complete list in reverse chronological order

  1. Skiles, C., Yu, J., Durango-Cohen, P.L. (2025), “Impact of conventional and electric delivery vehicles on road wear in residential areas:  A case study in Evanston, Ilinois”, Journal of Infrastructure Systems, 31(1), pp. 05024006(8).
  2. Hernandez, A., Ng, M., Siddique, C., Durango-Cohen, P.L., Mahmassani, H., Elgowainy, A., Wang, M., Zhou, Y. (2024), “Abatement cost curve analysis of freight rail decarbonization alternatives”, Transportation Research Part D:  Transport and Environment, 134, 104341.
  3. Ng, M., Hernandez, A., Durango-Cohen, P.L., Mahmassani, H. (2024), “Trading off energy storage and payload: An analytical model for freight train configuration”, Transportation Research Part E: Logistics and Transportation, 187, 103601.
  4. Hernandez, A., Ng, M., Durango-Cohen, P.L., Mahmassani, H. (2024), “An optimization framework to support freight rail network decarbonization: Flow selection, facility location, and energy sourcing”, European Journal of Operational Research, 317, pp. 906–920.
  5. Hernandez, A., Ng, M., Siddique, N., Durango-Cohen, P.L., Elgowainy, A., Mahmassani, H., Wang, M., and Zhou, Y. (2024), “Evaluation of rail decarbonization alternatives:  Framework and application”, Transportation Research Record: Journal of the Transportation Research Board, 2678(1), pp. 102–121.
  6. Bao, J., Durango-Cohen, E.J., Levontin, L. and Durango-Cohen, P.L. (2022), “Analysis of factors influencing recurring donations in a university setting: A Compound Poisson Mixture Regression model”, Journal of Business Research, 151, pp. 489–503.
  7. Shu, H., Durango-Cohen, P.L. (2022), “Pareto efficiency analysis of private toll road networks”, Journal of Infrastructure Systems, 28(2), pp. 04022008(19).
  8. Shu, H. and Durango-Cohen, P.L. (2021), “On the design of optimal auctions for road concessions: Firm selection, government payments, toll and capacity schedules with imperfect information”, Transportation Research Part B: Methodological, 146, pp. 210-236.
  9. Lascano, M.E. and Durango-Cohen, P.L. (2018), “New ridership for old rail: An analysis of changes in the utilization of Chicago’s urban rail system, 1990-2008”, Research in Transportation Economics, 71, pp. 17-26.
  10. Durango-Cohen, P.L. and McKenzie, E.C. (2018), “Trading o ff costs, environmental impact, and levels of service in the optimal design of transit bus fleets”, Transportation Research Part A: Policy and Practice, 114, pp. 354-363.
  11. Chan, R., Durango-Cohen, P.L. and Schofer, J.L. (2016), “Dynamic learning process for selecting storm protection investments”, Transportation Research Record: Journal of the Transportation Research Board, 2599, pp. 1-8.
  12. Chen, Y. and Durango-Cohen, P.L. (2015), “Development and field application of a multivariate statistical process control framework for health-monitoring of transportation infrastructure”, Transportation Research Part B: Methodological, 81, pp. 78-102.
  13. Medury, A., Zhang, W. and Durango-Cohen, P.L. (2015), “Identification and estimation of latent group-level effects in infrastructure performance modeling”, EURO Journal on Transportation and Logistics, 4(1), pp. 31-55.
  14. Zhang, W. and Durango-Cohen, P.L. (2014), “Explaining heterogeneity in pavement deterioration:  A clusterwise linear regression model”, Journal of Infrastructure Systems, 20(2), pp. 04014005(9).
  15. Kosnik, D.E., Zhang, W., and Durango-Cohen, P.L. (2014), “An application of statistical process control for structural health monitoring of a historic building”, Journal of Infrastructure Systems, 20(1), pp. 05013002(12).
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. 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.
  21. 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.
  22. 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.
  23. 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.
  24. 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.
  25. 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.
  26. 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.
  27. 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.
  28. 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.
  29. 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.
  30. 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.
  31. 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.
  32. Durango-Cohen, P.L. (2007), “A time series analysis framework for transportation infrastructure management”, Transportation Research Part B: Methodological, 41(5), pp. 493-505.
  33. 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.
  34. 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.
  35. 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.
  36. 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.
    1. Conference version: Durango-Cohen, P.L. (2002), “Reinforcement learning models for transportation infrastructure management” 7th ASCE Conference on Applications of Advanced Technologies in Transportation, Cambridge, MA.
  37. 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.
  38. 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.
  39. 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.