Peer-reviewed journal publications

A G indicates a graduate student supervised, a P indicates a postdoc supervised, a V indicates a visiting scholar supervised, an UG indicates an undergraduate research assistant supervised.

  1. Rouhani, OP, R. Geddes, D. Wooseok, H.O. Gao, A. Beheshtian, (2018). Revenue-risk-sharing approaches for public-private partnership provision of highway facilities, accepted in Case Studies on Transport Policy, https://doi.org/10.1016/j.cstp.2018.04.003
  2. Xie Y, Zhao L, Xue J, Gao HO, Li H, Jiang R, Qiu X, Zhang S (2018), Methods for defining the scopes and priorities for joint prevention and control of air pollution regions based on datamining technologies, Journal of Cleaner Production, doi: 10.1016/j.jclepro.2018.03.101
  3. Beheshtiana, A., K.P. Donaghy, R. Geddes, H. O. Gao (2018). Climate-adaptive planning for the long-term resilience of transportation energy infrastructure, Transportation Research Part E, Volume 113, Pages 99-122
  4. Tan, Z.G, H.O. Gao. (2018). Hybrid model predictive control based dynamic pricing of managed lanes with multiple accesses,Transportation Research B, Volume 112, Pages 113-131
  5. Tan, Z.G, H.O. Gao. (2018). Bayesian Inference for Static Traffic Network Flows with Mobile Sensor Data. Proceedings of 51st Hawaii International Conference on System Sciences.
  6. Tan, Z.G, H.O. Gao. (2018). Ventilation Control in Complex Tunnels with Distributed Vents. Proceedings of  2018 American Control Conference.
  7. Sayarshad, H.P, H. O. Gao (2018). A scalable non-myopic dynamic dial-a-ride and pricing problem for competitive on-demand mobility systems, Transportation Research Part C: Emerging Technologies, Volume 91, Pages 192-208.
  8. Heo, J.P, P. J. Adams,O. Gao, (2017). Public health costs accounting of inorganic PM2.5 pollution in metropolitan areas of the United States using a risk-based source-receptor model, Environment International 106 119–126.
  9. Amirgholy, M. P, O. Gao (2017), Modeling dynamics of congestion in urban networks using macroscopic fundamental diagram: user equilibrium, system optimum, and pricing strategies, Transportation Research Part B: Methodology, Volume 104, October 2017, 215-237.
  10. Tan, Z.G, O. Gao (2017). Optimizing vents layout and configuration of complex urban tunnels for air quality control, IEEE Transactions on Control Systems Technology, Volume: 26 Issue: 1, 368-376.
  11. Amirgholy, M.P, M. Shahabi, , O. Gao (2017). Optimal design of sustainable transit systems in congested urban networks: A macroscopic approach. Transportation Research Part E: Logistics and Transportation Review 103 261–285.
  12. Zhao, L. V, Wang, H. O. Gao, Y. Xie, R. Jiang, Q. Hu, Y. Sun (2017), Evaluation of particulate matter concentration in Shanghai’s metro system and strategy for improvement, Transportation Research Part D: Transport and Environment, 53 (2017) 115–127.
  13. Shao, Z., Zu-Jun Ma, Jiuh-Biing Sheu, O. Gao (2017). Evaluation of large-scale transnational high-speed railway construction priority in the belt and road region, Transportation Research Part E: Logistics and Transportation Review, https://doi.org/10.1016/j.tre.2017.07.007
  14. David, N.P and O. Gao (2017). The potential of existing cellular networks for detecting the precursors of fog, accepted in the Journal of Geophysical Research- Atmospheres
  15. David, N.P and O. Gao (2017) Atmospheric monitoring using commercial microwave networks (A review paper). Proceedings of the 15th International Conference on Environmental Science And Technology (CEST). Rhodes, Greece, August 31–September 2, 2017.
  16. Amirgholy, M.PP, M. Shahabi, O. Gao (2017). An Advanced Traveler Navigation System Adapted to Route Choice Preferences of the Individual Users, International Journal of Transportation Science and Technology, Volume 6, Issue 4, 240-254.
  17. Sayarshad, H.P, O. Gao (2017). A non-myopic dynamic inventory routing and pricing problem, Transportation Research Part E: Logistics and Transportation Review, Volume 109, 83-98.
  18. Rouhani, O.P, Niemeier, D., O. Gao, Bel, G. (2016). Cost-benefit analysis of various California renewable portfolio standard targets: Is a 33% RPS optimal? Renewable & Sustainable Energy Reviews, 62:1122-1132.
  19. Tan, Z.G, O. Gao (2016).Bayesian ranking and selection model for the second-best network pricing problem. Proceedings of the 2016 Winter Simulation Conference. T. M. K. Roeder, P. I. Frazier, R. Szechtman, E. Zhou, T. Huschka, and S. E. Chick, eds.
  20. Rouhani, O.P, R. Geddes, O. Gao, G. Bel (2016). Social welfare analysis for alternative investment public-private partnership approaches. Transportation Research Part A. Volume 88, June 2016, Pages 86–103.
  21. Dai, Y.V, O. Gao (2016), Energy consumption in China’s logistics industry: A decomposition analysis using the LMDI approach, Transportation Research Part D, Transport and Environment, Volume 46, July 2016, Pages 69–80.
  22. Heo, J.P, P. J. Adams, O. Gao (2016). Reduced-form modeling of public health impacts of inorganic PM2.5 and precursor emissions, Atmospheric Environment, 137, 80-89
  23. Heo, J.P, P. J. Adams, O. Gao (2016). Marginal and aggregate social costs of primary PM2.5 and inorganic PM2.5 precursor emissions in the United States, Environmental Science and Technology, 50, 6061-6070
  24. Wang, J., L. ZhaoV, O. Gao, D., Zhu, Y. Xie, H. Li, X. Xu, H. Wang (2016). Characteristics of particulate matter (PM) concentrations influenced by piston wind and train door opening in the Shanghai subway system, Transportation Research Part D, Transport and Environment, 47, 77-88.
  25. Wang, X., F. He, O. Gao (2016). Pricing strategies for a taxi-hailing platform, Transportation Research Part E: Logistics and Transportation Review, 93, 212-231
  26. David, N.P, O. Gao (2016). Using cellular communication networks to detect air pollution, Environmental Science and Technology, 50, 9442−9451
  27. Zhao, L.V, Xiang Xu, O. Gao, J. Wang, Y. Xie (2016). A bi-level model for GHG emission charge based on a continuous distribution of travelers’ value of time (VOT), Transportation Research Part D, Volume 47, August 2016, Pages 371–382
  28. Qiu, Z.V, X. Li, Y. Hao, S. Deng, O. Gao (2016). Emission inventory estimation of an intercity bus terminal Environ Monit Assess. 188(6): 367. doi: 10.1007/s10661-016-5370-8.
  29. Nicholson, C., X. HeG, M. Gómez, O. Gao, and E. Hill (2015). Environmental and economic impacts of localizing food systems: the case of dairy supply chains in the Northeastern U.S., Environmental Science and Technology, 49, 12005−12014.
  30. Rouhani, O.P, O. Gao. (2015), Evaluating various road ownership structures and potential competition on an urban road network. Networks and Spatial Economics, DOI 10.1007/s11067-015-9309-3
  31. Rouhani, O. P, O. Gao, R. Geddes (2015), Policy lessons for regulating public-private partnership tolling schemes in urban environments. Transport Policy. Volume 41, Special Issue articles on Economic regulation of transport infrastructures – theory and practices July 2015, Pages 68–79
  32. Tan, Z.G, H.O. Gao (2015). Traffic control for air quality management and congestion mitigation in complex urban vehicular tunnels, Transportation Research Part C: Emerging Technologies, Volume 58, 13–28
  33. Liu, Y.P, Y. Ge, O. Gao (2014). Improving estimates of transportation emissions: Modeling hourly truck traffic using period-based car volume data, Transportation Research Part D, Transport and Environment, Volume 26, 32–41.
  34. Sonntag, B.D.G, O. Gao, Partick MoorseG, and M. O’reilly (2014). Energy consumption and emission rates of highway mowingactivities, IEEE Transactions on Vehicular Technologies. VOL. 64, NO. 11.
  35. ‘Rouhani, O. P; O. Gao (2014). An advanced traveler general information system for Fresno, CA, Transportation Research Part A, Volume 67, Pages 254–267
  36. Hu, Y., Zhao, L. V, Huang, Wei; Gao, O. Xue, Jian Li, Changmin (2014), A cooperative approach to reduce water pollution abatement cost in an interjurisdictional lake basin, Journal of the American Water Resources Association (JAWRA) 50(3): 777-790.
  37. Zhao, L. V, J. Xue, O. Gao, C. Li, and R. Huang (2014), A model for inter-provincial air pollution control based on futures prices, Journal of the Air & Waste Management Association, May;64(5):552-60.
  38. Sonntag, B.D.G, O. Gao, B. Holmén (2013) Comparison of particle mass and number emissions from a diesel transit bus across temporal and spatial scales Transportation Research Part D, Transport and Environment, Volume 26, 32–41.
  39. Zhao, L. V, Wanlin Xie, O. Gao, Xiaoyan Qiu, Xiaoli Wang, Shuhai Zhang (2013), A rumor spreading model with variable forgetting rate, Physica A: Statistical Mechanics and its Applications, Volume 392, Issue 23, 1 6146–6154
  40. Asencio, M., G. Hooker, and O. Gao (2013), Functional convolution models, Statistical Modelling, 14(4): 1–21
  41. Stasko, T.G, A. B. Buck, and O. Gao (2013). Impacts of carsharing in a university setting: changes in vehicle ownership, parking demand, and mobility, Transportation Policy, 30. 262-268
  42. Stasko, T.G and O. Gao (2012). Developing green fleet management strategies: repair/retrofit/replacement decisions under environmental regulation, Transportation Research, Part A，46(8), 1216–1226.
  43. Wang, X.G and O. Gao (2011). Travelers’ exposure to fine particle mass (PM2.5) and number concentrations in urban transportation environments in New York City, Transportation Research Part D: Transport and Environment, 16(5) 384–391.
  44. Stasko, T.G, R. Conradoa, A. Wankerlb, R. Labatuta, R. Tasseffa, J. Manniona, O. Gao, S. Sanbornc, G. Knott (2011). Mapping woody-biomass supply costs using forest inventory and competing industry data, Biomass and Bioenergy, 35 263–271.
  45. Kamarianakis, Y.P, O. Gao, B. Holmén, D. SonntagG (2011). Robust modeling and forecasting of diesel particle number emissions rates, Transportation Research Part D: Transport and Environment, 16 435-443
  46. Kamarianakis, Y.P, H.O. Gao, B. Holmén, (2011). Evaluating the effects of engine operating variables on particle numbers emissions rates using robust regression models, Journal of the Transportation Research Board, No. 2233, Transportation Research Board of the National Academies, Washington, D.C., pp. 36–44. DOI: 10.3141/2233-05.
  47. Nicholson, C., M. Gómez, O. Gao (2011). Costs of localizing a multi-product food supply chain: dairy in the United States, Food Policy, 36 300-310.
  48. Gómez, M., C. Barrett, L. Buck, H. De Groote, S. Ferris, O. Gao, E. McCullough et al., Food value chains, sustainability indicators and poverty alleviation, Science, vol. 332, issue 6034 (3 June 2011): pp. 1154‐1155.
  49. Kamarianakis, Y.P and O. Gao (2010). Accounting for exhaust gas transport dynamics in instantaneous emission models via smooth transition regression, Environmental Science and Technology, 44 (4), 1320–1326.
  50. Stasko, T.G and O. Gao (2010). Reducing transit fleet emissions through vehicle retrofits, replacements, and usage changes over multiple time periods, Transportation Research Part D: Transport and Environment, 15, 254-262.
  51. Bapat, A.UG and O. Gao (2010). Diesel particulate matter number emissions: evaluation of existing modal emission models, the ASCE Journal of Transportation Engineering, 136, 93-101.
  52. Kamarianakis, Y.P, O. Gao, P. Prastacos (2010). Characterizing regimes in daily cycles of urban traffic using smooth-transition regressions, Transportation Research Part C: Emerging Technologies, 18, 821–840.
  53. Gao, H.O. and R. KleinG (2010a). Environmental equity in participation of the clean air school bus program: the case of New York State, Transportation Research Part D: Transport and Environment, 15, 220–227.
  54. Gao, H.O. and R. KleinG (2010b). Environmental equity in funding decisions of the clean air school bus program: the case of New York State, Transportation Research Part D: Transport and Environment, 16 10–
  55. Gao, H.O. and T. StaskoG (2009a). Diversification in the driveway: mean-variance optimization for greenhouse gas emissions reduction from the next generation of vehicles, Energy Policy, 37, 5019-5027.
  56. Sonntag, B.D.G and O. Gao (2009). Developing link-based particle number emission models for diesel transit buses using engine and vehicle parameters, Transportation Research Part D: Transport and Environment, 14, 240-248.
  57. Gao, H.O. and L. M. JohnsonG (2009). Methods of analysis for vehicle soak time data, Transportation Research Part A: Policy and Practice, 43, 744–754.
  58. Gao, H.O. and T. StaskoG (2009b). Cost-minimizing retrofit/replacement strategies for diesel emissions reduction, Transportation Research Part D: Transport and Environment, 14, 111–119.
  59. Sonntag, B.D.G, O. Gao, B. Holmén(2008). Variability of particle number emissions from conventional and hybrid diesel-electric buses in real-driving conditions, Environmental Science and Technology, 42 (15), 5637-43.
  60. Gao, H.O. and D. Niemeier (2008). Using functional data analysis of diurnal ozone and NOx cycles to inform transportation emissions control, Transportation Research Part D: Transport and Environment, 13, 221–238.
  61. Gao, H.O. and V. KitirattragarnG (2008). Buying preferences of hybrid electric vehicles and their implications for emissions in New York City, Transportation Research Part A: Policy and Practice, 42, 1064–1073.
  62. Sonntag, B.D.G, O. Gao, B. Holmén (2007). Modeling on-road particulate matter number emissions from a hybrid diesel-electric bus – an exploratory econometric analysis, Transportation Research Record, Journal of the Transportation Research Board, No. 2011, 40-48.
  63. Gao, H.O. (2007). Day of week effects on diurnal ozone/Nox cycles and transportation emissions in Southern California, Transportation Research Part D: Transport and Environment, 12, 292–305.
  64. Gao, H.O. and D. Niemeier (2007). The impact of rush hour traffic and mix on the ozone weekend effect in Southern California, Transportation Research Part D: Transport and Environment, 12, 83–98.
  65. Herner, J. D., Q. Ying, J. Aw, O. Gao, D. P. Chang, and M. J. Kleeman (2006). Dominant mechanisms that shape the airborne particle size and composition distribution in Central California, Aerosol Science & Technology, 40, 827-844.
  66. Gao, H.O., B. Holmén, D. Niemeier (2005). Nonparametric factorial analysis of daily weigh-in-motion traffic data: implications for the ozone weekend effect in Southern California, Atmospheric Environment, 39, 1669–1682.
  67. Herner, J. D., J. Aw, O. Gao, D. P. Chang, and M. J. Kleeman (2004). Size and composition distribution of airborne particulate matter in Northern California: I—particulate mass, carbon, and water-soluble ions, J. Air & Waste Manage. Assoc., 55, 30–51.
  68. Song, E. and H.O. Gao (2001). Analysis of piled raft foundation by finite and infinite prism elements, in Learned and Applied-A book dedicated to Professor Verruijt, Balkma (ed. FP Barends).