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. Jiang, Y., M. Cheng, X. Liu, S. Wang, Z. Geng, and H. O. Gao (2026). Digital twin-augmented spatio-temporal Bayesian nowcasting model for emissions accounting in complex urban grid systems, Information Sciences, https://doi.org/10.1016/j.ins.2025.122918
  2. Fraser, T.P, Y.G. Park, D. Lu, M. Tayarani, H. Deng, and O. Gao (2025). A first look into congestion pricing in the United States: PM2.5 impacts after six months of New York City cordon pricing, npj Clean Air
  3. Luchang Cui, Juhong Lee, Juliet Miller, Minmeng Tang, Sajjad Abedian, Nasser Altorki, Robert S. Crupi, Lauren Groner, Neal Lindeman, Laura Pinheiro, Rulla Tamimi, Jonathan Villena-Vargas, Anil Vachani, Julie A. Barta, Oliver Gao, Evan Sholle1, James P. Solomon, Christine A. Garcia, Eunji Choi, Yiwey Shieh (2025). Design and creation of a racially diverse lung cancer registry with detailed genomic and environmental annotation, Cancer Epidemiology Biomarkers & Prevention, https://doi.org/10.1158/1055-9965.EPI-25-0833 
  4. Mansourihanis, O., X. Wang, M. Tayarani, M. Tilaki, H. Oliver Gao, A. Zaroujtaghi (2025) Equity in crisis response: A spatial analysis of emergency relief disparities, Cities, https://doi.org/10.1016/j.cities.2025.106128
  5. Cheng, Minghui; Geng, Ziheng; Oliver Gao (2025). Performance-oriented system digital twin: a Bayesian network-based framework to customize Sub-digital twins. Structure and Infrastructure Engineering, https://doi.org/10.1080/15732479.2025.2504535
  6. Feng, Cheng, S Wang, H. O. Gao, F. You (2025), Optimal Participation Design of DERs in General Frequency Shaping Services, IEEE Transactions on Power Systems ( Early Access ), Page(s): 1 – 13, Date of Publication: 10 July 2025, 1109/TPWRS.2025.3586137
  7. Siyuan Wang, Ch. Feng, H. O. Gao, Fengqi You (2025). Aggregate the Equivalent Storage Flexibility of District Heat Network for Non-Iterative Integrated Electricity-Heat Scheduling, 2025 IEEE Power & Energy Society General Meeting (PESGM)
  8. Wang, D., M. Tayarani, J. Gao, Z. Bian, K. Ozbay, H.O. Gao and J. Chow (2025). Transportation electrification for climate action goals in the post-pandemic era: an agent-based travel behavior and emission modeling approach. Proceedings, 16th International Conference on Ambient Systems, Networks and Technologies (ANT-2025).
  9. Lu, Danni, M. Tyranni, H.O. Gao (2025). Machine learning in spatiotemporal PM2.5 hotspots analysis for better targeted mitigation strategies, Transportation Research Part D: Transport and Environment, https://doi.org/10.1016/j.trd.2025.105017
  10. Jiang, Y., M. Cheng, X. Liu, S. Wang, Z. Geng, and O. Gao (2025). Digital Twin-Based Spatial-Temporal Bayesian Nowcasting Model for Emissions Accounting in Complex Urban Grid Systems, accepted in Information Sciences
  11. Yang, S. P, O. Gao, & F. You (2024). Demand Flexibility and Cost-Saving Potentials via Smart Building Energy Management: Opportunities in Residential Space Heating Across the US, Advances in Applied Engergy, https://doi.org/10.1016/j.adapen.2024.100171
  12. Li, Xinwei P, T. Fraser P, O. Gao (2024). 30 years of Congestion Mitigation and Air Quality (CMAQ) Improvement program – what did we do and what can we learn? presented at TRB annual meeting 2024
  13. Zhang, Q. P, Y.S. LiuG, O. Gao, and F. You (2024). A Data-Aided Robust Approach for Bottleneck Identification in Power Transmission Grids for Achieving Transportation Electrification Ambition: A Case Study in New York State. Advances in Applied Energy 14, 2024, https://doi.org/10.1016/j.adapen.2024.100173
  14. Liu Y.G, M. TayaraniaP, F. You, O. Gao (2024). Bayesian Optimization for Battery Electric Vehicle Charging Station Placement by Agent-based Demand Simulation, Applied Engergy, https://doi.org/10.1016/j.apenergy.2024.123975
  15. Fraser, T.P, , Yan GuoG, O. Gao (2024). Making MOVES move: Fast emissions estimates for repeated transportation policy scenario analyses, Environmental Modeling and Software, https://doi.org/10.1016/j.envsoft.2024.106084
  16. Li, Shuangqi, O. Gao, and F. You (2024). AI for science in electrochemical energy storage: A multiscale systems perspective on transportation electrification, Nexus, https://doi.org/10.1016/j.ynexs.2024.100026
  17. Cheng, M.P, H. Shah, A. Nanni, O. Gao (2024). Automated knowledge graphs for complex systems (AutoGraCS): Applications to management of bridge networks, Resilient Cities and Structures, https://doi.org/10.1016/j.rcns.2024.11.001
  18. Takkara, R.G, K. Birmana, and H. O. Gao (2024), Enhancing transparency in buyer-driven commodity chains for complex products: a blockchain-based traceability framework demonstrated through an apparel supply chain simulation, Procedia Computer Science, vol. 253, pp. 2703–2712, Feb. 2025, doi: 10.1016/j.procs.2025.01.330
  19. Yazdiani, A.G, M. Tayarani, R. Nadafianshahamabadi, and O. Gao (2024), A Post-Processing System for Overcoming Transportation Conformity Challenges: Insights from the Last Three Decades, presented at TRB meeting and in submissino to TR-D
  20. Zhang, Q. P, J. Yan, O. Gao, and F. You (2023). A Systematic Review on power systems planning and operations management with grid integration of transportation electrification at scale. Advances in Applied Energy, https://doi.org/10.1016/j.adapen.2023.100147
  21. Baghestani, A, M. Tayarani, A.R. Mamdoohi, M. Habibian and O. Gao (2023). Travel Demand Management Implications during the COVID-19 Pandemic: The Case Study of Tehran. Sustainability 15(2), 1209, https://doi.org/10.3390/su15021209
  22. Ren, Feihong, Zhen Liu, Hua Bai, Zhaowen Qiu, O. Gao (2023). Trees help reduce street-side air pollution: A focus on cyclist and pedestrian exposure risk. Building and Environment, https://doi.org/10.1016/j.buildenv.2022.109923
  23. Pan, Shuai, L. Gan, J. Jung, W. Yu, A. Roy, L. Diao, W. Jeon, A. Souri, O. Gao, Y Choi (2023). Quantifying the premature mortality and economic loss from wildfire-induced PM2.5 in the contiguous U.S., Volume 875, 162614, Science of Total Environment. https://doi.org/10.1016/j.scitotenv.2023.162614
  24. Baghestani, A., S. Najafabadi, A. Salem, Z. Jiang, M. Tayarani, O. Gao (2023). An Application of the Node–Place Model to Explore the Land Use–Transport Development Dynamics of the I-287 Corridor, Urban Science, Special Issue: The Implications of Human Mobility and Accessibility for Transportation and Livable Cities, https://doi.org/10.3390/urbansci7010021
  25. Pan, S.P, Wendi Yu, L. Fultonc, J. Junge, Choi, and H. O. Gao (2023). Impacts of the large-scale use of passenger electric vehicles on public health in 30 U.S. metropolitan areas, Renewable and Sustainable Energy Review,http://dx.doi.org/10.2139/ssrn.4157294
  26. Amirgholy, M.P, M. Nourinejad, , O. Gao (2023). Optimal traffic operation for maximum energy efficiency in signal-free urban networks: a macroscopic analytical approach, Applied Energy, https://doi.org/10.1016/j.apenergy.2022.120128
  27. Shi, J., Zuzhao Ye, Nanpeng Yu, and O. Gao (2023). Lyapunov Optimization in Online Battery Energy Storage System Control for Commercial Buildings, IEEE Transactions on Smart Grid, 10.1109/TSG.2022.3197959
  28. Amirgholy, M.P, M. Nourinejad, , O. Gao (2023). Balancing the efficiency and robustness of traffic operations in signal-free networks, Transportation Research Interdisciplinary Perspectives, https://doi.org/10.1016/j.trip.2023.100821
  29. Yang, S., O. Gao, & F. You (2023). Building electrification and carbon emissions: Integrated energy management considering the dynamics of the electricity mix and pricing. Advances in Applied Energy, 10, 100141.
  30. Yang, S., O. Gao, & F. You (2023, May). Model Predictive Control for Distributed Energy Systems Management in Electrifying Buildings: carbon emission reduction in response to dynamic electricity price and carbon intensity. In 2023 American Control Conference (ACC) (pp. 3797-3802). IEEE.
  31. Yang, S., O. Gao, & F. You (2023). Integrated Optimization in Operations Control and Systems Design for Carbon Emission Reduction in Building Electrification with Distributed Energy Resources. Advances in Applied Energy, 100144.
  32. Yang, S., H. O. Gao, & F. You (2022, December). Model Predictive Control for Price-Based Demand-Responsive Building Control by Leveraging Active Latent Heat Storage. In 2022 IEEE 61st Conference on Decision and Control (CDC) (pp. 539-544). IEEE.
  33. Jingwen Gao, Zhaowen Qiu, Wen Cheng, H O. Gao (2022). Children’s exposure to BC and PM and respiratory tract deposited dose while commuting to school, Ecotoxicology and Environmental Safety, https://doi.org/10.1016/j.ecoenv.2022.113253
  34. Baghestani, A., M. Tayarani, R. Nadafianshahamabadi, M. Allahviranloo, and O. Gao (2022). New York City Cordon Pricing and Its’ Impacts on Disparity, Transit Accessibility, Air Quality, and Health, Case Studies on Transport Policy, https://doi.org/10.1016/j.cstp.2022.01.009
  35. Tan, Zhen, H. K. Chang, L. Fan, O. Gao (2022). Transportation Systems Management Considering Dynamic Wireless Charging Electric Vehicles: Review and Prospects, Transportation Research Part E, https://doi.org/10.1016/j.tre.2022.102761
  36. Yang, ShiyuP, O. Gao, Fengqi You (2022). Model Predictive Control for Demand- and Market-Responsive Building Energy Management by Leveraging Active Latent Heat Storage, Appled Energy, https://doi.org/10.1016/j.apenergy.2022.120054
  37. Yang, ShiyuP, O. Gao, Fengqi You (2022). Model Predictive Control in Phase-Change-Material-Wallboard-Enhanced Building Energy Management Considering Electricity Price Dynamics, Appled Energy, https://doi.org/10.1016/j.apenergy.2022.120023
  38. Zhu, Xin-hang, Hong-di He, Kai-fa Lu, Zhong-ren Pengb, O. Gao (2022). Characterizing carbon emissions from China V and China VI gasoline vehicles based on portable emission measurement systems, Journal of Cleaner Production, https://doi.org/10.1016/j.jclepro.2022.134458
  39. Shi, J. and O. Gao (2022). Efficient Energy Management of Wireless Charging Roads with Energy Storage for Coupled Transportation–Power Systems, Applied Energy, https://doi.org/10.1016/j.apenergy.2022.119619
  40. Liu, Yuechen, Mohammad Tayarania, O. Gao (2022). An Agent-based Travel and Charging Behavior Model for Forecasting High-resolution Spatio-temporal Battery Electric Vehicle Charging Demand. Energy, https://doi.org/10.1016/j.energy.2022.124938
  41. Shi, J., Nanpeng Yu, and O. Gao (2022). Bidding Strategy for Wireless Charging Roads with Energy Storage in Real-Time Electricity Markets, Applied Energy, https://doi.org/10.1016/j.apenergy.2022.120035
  42. Desai, S., Mohammad TayaraniP , O. Gao (2022). Developing Machine learning models for hyperlocal traffic related particulate matter concentration mapping, Transportation Resarch Part D. https://doi.org/10.1016/j.trd.2022.103505
  43. Lewis, Emily, J. Ponnock, Q. Cherqaoui, S. Holmdahl, Y. Johnson, A. Wong, O. Gao (2021). Architecting Urban Air Mobility Airport Shuttling Systems with Case Studies: Atlanta, Los Angeles, and Dallas, Transportation Research Part A: Policy and Practice, Volume 150, Pages 423-444
  44. Baghestani, A., M. Tayarani, M. Allahviranloo, and H. O. Gao (2021). Cordon Pricing, Daily Activity Pattern, and Exposure to Traffic-Related Air Pollution: A Case Study of New York City, Atmosphere  12, 1458. https://doi.org/10.3390/atmos12111458
  45. Pan, S.P, Fultonc, A. Royd, J. Junge, Y. Choi, and H. O. Gao (2021). Shared use of electric autonomous vehicles: energy, air quality, and health impacts of future mobility in the United States, Renewable and Sustainable Energy Review, vol. 149(C)
  46. Nadafianshahamabadia, R., Mohammad Tayarani, Oliver Gao (2021). Impacts of transportation emissions on the risk of mortality: findings from the literature and policy implications, Medical Research Archives, European Society of Medicine, https://doi.org/10.18103/mra.v9i8.2502
  47. Noam David, Yanyan Liu , Kingsley K. Kumah, Joost C. B. Hoedjes, Bob Su, O. Gao (2021). On the power of microwave communication data to improve agricultural needs in Africa. Proceedings: Hydrology, Water Resources Management and Protection of the Marine Environment-Selected Papers from the 16th International Conference on Environmental Science and Technology (CEST2019), https://www.mdpi.com/journal/water/special_issues/CEST2019
  48. Wang, D., M. Tayarani, B.Y. He, J. Gao, Joseph Y. J. Chow, O. Gao, and K. Ozbay (2021). Mobility in Post-Pandemic Economic Reopening under Social Distancing Guidelines: Congestion, Emissions, and Contact Exposure in Public Transit. Transportation Research Part A: Policy and Practice. Volume 153, Pages 151-170
  49. Keane, R., and O. Gao (2021). A formulation of the relaxation phenomenon for lane changing dynamics in an arbitrary car following model, Transportation Research, Part C. 125(2):103081, DOI:10.1016/j.trc.2021.103081
  50. Zheng J., O. Gao, Bing Li, and Z. Qiu (2021). Commuter PM exposure and estimated life-expectancy loss across multiple transportation modes in Xi’an, China. Ecotoxicology and Environmental Safety, Volume 214, 112117
  51. Huang, W., Yonghong Liu; Hui Zhong; Kui Liu; Oliver Gao; Lejian He; Rui Xu; Hui Ding (2021) Assessment of personal exposures to PM for multiple transport modes. Transportation Research Part D, https://doi.org/10.1016/j.trd.2021.103086
  52. Akaabneh, F.G, Ali Diabat, O. Gao (2020). Benders decomposition for inventory vehicle routing problem with perishable products and environmental costs. Computers and Operations Research, Volume 113, January 2020, 104751
  53. Sayarshad, H.P, O. Gao (2020). A scalable non-myopic atomic game for a smart parking mechanism, Transportation Research Part E: Logistics and Transportation Review, Volume 140, August 2020, 101974 , https://doi.org/10.1016/j.tre.2020.101974
  54. Amirgholy, M.P, M. Shahabi, , O. Gao (2020). Traffic automation and lane management: communicant, autonomous, and human-driven vehicles, Transportation Research Part C: Emerging Technologies. Volume 111, February 2020, Pages 477-495
  55. Sayarshad, H.P, V. Mahmoodian, O. Gao (2020). Non-myopic dynamic routing of electric taxis with battery swapping stations, Sustainable Cities and Society, https://doi.org/10.1016/j.scs.2020.102113
  56. Amirgholy, M.P, M. Nourinejad, , O. Gao (2020). Optimal traffic control at smart intersections: automated network fundamental diagram, Transportation Research Part B: Methodology. https://doi.org/10.1016/j.trb.2019.10.001
  57. Akaabneh, F.G, Ali Diabat, O. Gao (2020). Unified Framework for Efficient, Effective and Fair Resource Allocation at Food Banks: Approximate Dynamic Programming Approach., Omega: The International Journal of Management Science, https://doi.org/10.1016/j.omega.2020.102300
  58. Song, Hwanseok, Neil Lewis, Jr, Matthew Ballew, Mario Bravo, Julie Davydova, H. Oliver Gao, Robert Garcia, Sofia Hiltner, Sarah Naimain, Adam Pearson, Rainer Romero-Canyas, Jonathon Schuldt (2020). What counts as an “environmental” issue? Differences in environmental issue conceptualization across race, ethnicity, and socioeconomic status, Journal of Environmental Psychology. https://doi.org/10.1016/j.jenvp.2020.101404
  59. Noam David, Asaf Rayitsfeld, O. Gao (2021).Analyzing 50 years of major fog events across the central coastal plain of Israel, CEST2021
  60. Zhang, Yiye, M. Tayarani, S. Wang, Y. Liu, M. Sharma, R. Joly, A. RoyChoudhury, A. Hermann, O. Gao, J. Pathak (2021) Identifying Urban Built Environment Factors in Pregnancy Care and Maternal Mental Health Outcomes, BMC Pregnancy and Childbirth
  61. Keane, R., and O. Gao (2021). Fast calibration of car following models to trajectory data using the adjoint method, Transportation Science. , vol. 55, no. 3, pp. 592–615
  62. Kumah, K. K., J. C. Hoedjes, N. David, B. H. P. Maathuis, M. Mumo, A. Limo, N. K. Muhoro, M. Miriti, H. O. Gao, and Z. Su (2021). The MSG technique: Improving Commercial Microwave Link Rainfall Intensity by using Rain Area Detection from Meteosat Second Generation, submitted to Remote Sensing
  63. Sayarshad, H.P, O. Gao (2020). Optimizing the dynamic switching in fixed and flexible transit services with an idle-vehicle relocation strategy and reductions in emissions, Transportation Research Part A: Policy and Practice, https://doi.org/10.1016/j.tra.2020.03.006
  64. Baghestani, A., M. Tayarani, M. Allahviranloo, and O. Gao (2020). Evaluating the traffic and emissions impacts of New York City cordon pricing, Sustainability 2020, 12(9), 3655; https://doi.org/10.3390/su12093655
  65. Sayarshad, H.P, X. Du, O. Gao (2020). A partially observable Markov decision process for dynamic post-disaster debris clearance problem with a positioning of clearance equipment items strategy, Transportation Research Part B, Volume 138, August 2020, Pages 352-372, https://www.sciencedirect.com/science/article/abs/pii/S0191261520303210
  66. Grafenstein, LG; O. Gao (2020). Infrastructure policy and public health: evidence from OECD countries, Science of the Total Environment, Volume 750, 1 January 2021, 141157
  67. Kumah, K. K., J. C. Hoedjes, N. David, B. H. P. Maathuis, M. Mumo, A. Limo, N. K. Muhoro, M. Miriti, O. Gao, and Z. Su (2020). Investigating GPM IMERG-F rainfall estimates over Africa utilizing commercial microwave links and MSG satellite data, Atmosphere 2020, 11(9), 884; https://doi.org/10.3390/atmos11090884
  68. Zhang, Y, M. Tayarani, S. J. AlAref, A. N. Beecy, , Y. Liu, E. Sholle, A. RoyChoudhury, K. M. Axsom, O. Gao, J. Pathak, and J. S. Ancker, (2020). Using Electronic Health Records for Population Health Sciences: A Case Study to Evaluate the Associations between Changes in Ejection Fraction and the Built Environment, JAMIA Open
  69. Pan, S.P, J. Jung, Z. Li, X. Hou, A. Roy, Y. Choi, and O. Gao (2020). Air Quality Implications of COVID-19 in California, Sustainability 2020, 12, 7067; doi:10.3390/su12177067
  70. Tayarani, M., Baghestani, M. Allahviranloo, and H. O. Gao (2020). Spatial/Temporal Variability in Transportation Emissions and Air Quality In NYC Cordon Pricing, Transportation Research Part D: Transport and Environment, Volume 89, December 2020, 102620
  71. He, Hong-diP, O. Gao (2020). Particulate Matter Exposure at a Densely Populated Urban Traffic Intersection and Crosswalk, accepted in Environmental Pollution
  72. Akaabneh, F.G, J. Lee, M. Gomez, O. Gao (2020). A systems approach to carbon policy for fruit supply chains: Carbon-tax, innovation in storage technologies or land-sparing? Accepted in Science of the Total Environment.
  73. Pan, S.P, Roy, Y. Choi, S. Sun, H. O. Gao (2019). The air quality and health impacts of projected long-haul trucks and rail freight transportation in the United States in 2050, Environment International, Volume 130, 104922
  74. Pan, S.P, A. Roy, Y. Choi, E. Eslami1, S. Thomas, X. Jiang, O. Gao (2019). Potential impacts of electric vehicles on air quality and health endpoints in the Greater Houston Area in 2040, Atmospheric Environment, Volume 207, 38-51
  75. Zhang, Y., S. J. Al’Aref, M. Tayaranip, E.Sholle, A. R. Choudhury, H Oliver Gao, J. K Min, J. Pathak, J. S. Ancker, (2019). Association between built environment and heart failure progression in an urban retrospective cohort study, accepted in the American Heart Association’s Scientific Sessions, Philadelphia, Pennsylvania from November 16-18.
  76. Liu, J., O. Gao, Y. Wang (2019). Incentive game of investor speculation in PPP highway projects based on the government minimum revenue guarantee, Transportation Research Part A: Policy and Practice 125 (2019) 20-34.
  77. Jahangir, H., Hanif Tayarani, Ali Ahmadian, Masoud Aliakbar Golkar, Jaume Miret, Mohammad Tayarani, Oliver Gao (2019). Charging demand of plug-in electric vehicles: forecasting travel behavior based on a novel rough artificial neural network approach, Journal of Cleaner Production, 229, 1029-1044
  78. Liu, J., Ruolan Gao, Oliver Gao, and Yahui Li (2019). Identifying project factors that affect an investor’s escalation of commitment in Public-Private Partnership projects, Project Management Journal, Vol. 50(6) 686–698
  79. David, N.P, O. Sendik , Y. Rubin , H. Messer , O. Gao , D. Rostkier-Edelstein, and P. Alpert (2019). Analyzing the ability to reconstruct the moisture field using commercial microwave network data, Atmspheric Research, 219, 213-222
  80. David, N., O. Gao, Kumah, K.K., Hoedjes, J., Su, B., Liu, Y. (2019). Microwave communication networks as a sustainable tool of rainfall monitoring for agriculture needs in Africa. In Proc. 16th International Conf. on Environmental Science and Technology, 4-7 September, Rhodes, Greece , 2019.
  81. David, N., H. O. Gao (2019). Can cell-phone-tower signals help fight Malaria in Africa?. In Proc. 16th International Conf. on Environmental Science and Technology, 4-7 September, Rhodes, Greece , 2019.
  82. 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
  83. 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
  84. 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
  85. 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
  86. 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.
  87. Tan, Z.G, H.O. Gao. (2018). Ventilation Control in Complex Tunnels with Distributed Vents. Proceedings of  2018 American Control Conference.
  88. 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.
  89. 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.
  90. 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.
  91. 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.
  92. 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.
  93. 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.
  94. 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
  95. 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
  96. 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.
  97. 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.
  98. 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.
  99. 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.
  100. 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.
  101. 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.
  102. 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.
  103. 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
  104. 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
  105. 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.
  106. 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
  107. David, N.P, O. Gao (2016). Using cellular communication networks to detect air pollution, Environmental Science and Technology, 50, 9442−9451
  108. 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
  109. 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.
  110. 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.
  111. 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
  112. 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
  113. 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
  114. 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.
  115. 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.
  116. ‘Rouhani, O. P; O. Gao (2014). An advanced traveler general information system for Fresno, CA, Transportation Research Part A, Volume 67, Pages 254–267
  117. 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.
  118. 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.
  119. 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.
  120. 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
  121. Asencio, M., G. Hooker, and O. Gao (2013), Functional convolution models, Statistical Modelling, 14(4): 1–21
  122. 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
  123. 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.
  124. 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.
  125. 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.
  126. 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
  127. 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.
  128. 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.
  129. 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.
  130. 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.
  131. 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.
  132. 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.
  133. 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.
  134. 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.
  135. 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–
  136. 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.
  137. 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.
  138. 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.
  139. 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.
  140. 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.
  141. 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.
  142. 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.
  143. 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.
  144. 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.
  145. 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.
  146. 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.
  147. 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.
  148. 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.
  149. 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).