Jee Eun "Jamie" Kang

PhD

Jee Eun "Jamie" Kang

PhD

Jee Eun "Jamie" Kang

PhD

Research Topics

Transportation modeling, applied operations research

Contact Information

409 Bell Hall

Buffalo NY, 14260

Phone: (716) 645-2427

jeeeunka@buffalo.edu

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Publications

* Students/visiting scholars advised by JE Kang

  • Khayati Y*, JE Kang, MH Karwan, and CC Murray, Household Use of Autonomous Vehicles: Modeling Framework, to be submitted
  • Zhu X* and JE Kang, Dynamic Bus Routing for Evacuation, to be submitted
  • Wu L*, JE Kang, Y Chung, and A Nikolaev, Monitoring Multimodal Travel Environment Using Automatic Fare Collection Data: Data Processing and Travelers' Route Choice, to be submitted
  • Zhang A*, JE Kang, K Axhausen, and C Kwon, Multi-day Activity-Travel Pattern Sampling Based on Single-Day Data: Application of Battery Electric Vehicle Feasibility Assessment, under review
  • Khayati Y* and JE Kang, A Comprehensive Scenario Analysis of Household Use of Battery Electric Vehicles, under review
  • Dian S*, JE Kang, and R Batta, Optimization of Evacuation Warnings Prior to Hurricane Disaster, under review
  • Liu J, JE Kang, X Zhou, and R Pendyala, Network-Oriented Household Activity Pattern Problem for System Optimization, under review
  • Xu Z*, JE Kang, and RB Chen, A Random Utility Based Estimation Framework for the Household Activity Pattern Problem, 
    Under Review
  • Ebadi N*, JE Kang, and S Hasan, Constructing Activity-Mobility Trajectory Patterns of College Students based on Smart Card Transaction Data, Under Review
  • Haider Z, A Nikolaev, JE Kang, and C Kwon, Inventory Rebalancing through Pricing in Public Bike Sharing Systems, Under Review
  • Zhang A*, JE Kang, and C Kwon (2017), Incorporating Demand Dynamics in Multi-Period Capacitated Recharging Location Planning for Electric Vehicles, Transportation Research Part B: Methodological, accepted
  • Swamy R*, JE Kang, R Batta, and Y Chung (2017) Hurricane Evacuation Planning Using Public Transportation, Socio Economic Planning Sciences, accepted
  • Kumar AA*, JE Kang, C Kwon, and A Nikolaev (2016) Inferring Origin-Destination Pairs and Utility-Based Travel Preferences for Shared Mobility System Users in a Multi-Modal Environment, Transportation Research Part B: Methodological, 91, 270-291
  • Kang JE and A Chen (2016) Constructing the Feasible Space-Time Region of the Household Activity Pattern Problem, Transportmetrica Part A: Transportation Science, 12-7, 591-611
  • Kang JE and WW Recker (2015) Strategic hydrogen refueling station locations with scheduling and routing considerations of individual vehicles, Transportation Science, 49(4):767-783
  • Kang JE and WW Recker (2014) Measuring the inconvenience of operating an alternative fuel vehicle, Transportation Research Part D: Transport and Environment, 40, 30-40
  • Kang JE, TM Brown, WW Recker, and GS Samuelsen (2014) Refueling hydrogen fuel cell vehicles with 68 proposed refueling stations in California: measuring deviations from daily travel patterns, International Journal of Hydrogen Energy, 39-7, 3444-3449
  • Kang JE, JYJ Chow, and WW Recker (2013) On activity-based network design problems, Transportation Research Part B: Methodological, 57, 398-418
  • Kang JE and WW Recker (2013) The location selection problem for the household activity pattern problem, Transportation Research Part B: Methodological, 55, 75-97
  • Stephens-Romero SD, TM Brown, M Carreras-Sospedra, JE Kang, J Brouwer, D Dabdub, WW Recker, and GS Samuelsen (2011) Projecting full built-out environmental impacts and roll-out strategies associated with viable hydrogen fueling infrastructure strategies, International Journal of Hydrogen Energy, 36-22, 14309-14323
  • Stephens-Romero SD, TM Brown, JE Kang, WW Recker, and GS Samuelsen (2010) Systematic planning to optimize investments in hydrogen infrastructure deployment, International Journal of Hydrogen Energy, 35-10, 4652-4667
  • Kang JE and WW Recker (2009) An activity-based assessment of the potential impacts of plug-in hybrid electric vehicles on energy and emissions using 1-day travel data, Transportation Research Part D: Transport and Environment, 14-8, 541-556 

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