Mubassira Khan, Ph.D.

Mubassira  Khan, Ph.D.

Mubassira Khan, Ph.D.

Graduate Research Assistant
p: (208) 596-3379

(Click name for full bio) Mubassira earned her Ph.D. in the Summer of 2015. She came to us as a student from Bangladesh who earned her Masters in Civil Engineering from the University of Idaho. Mubassira is a former faculty member from Ahsanullah University of Science and Technology and has broad engineering knowledge. At UT Austin, she has worked on a number of transportation demand modeling research projects and papers that increase in our understanding of travel activity patterns and decision-making. 

JOURNAL PUBLICATIONS

CONFERENCE PRECEEDINGS

  • Khan, M., Paleti, R., Bhat,C.R., and Pendyala, R.M., (2011). “A joint household level analysis of work arrangement choices of individuals."
    • Presented at the Transportation Decision-making Conference, 2011, Washington DC.
    • Presented at the 91st Transportation Research Board Annual Meeting, 2012, Washington DC.
  • Bhat, C.R , Castro, M., and Khan, M., (2013). “A new estimation approach for the multiple discrete–continuous probit (MDCP) choice model.”
    • Presented at the 13th International Conference on Travel Behavior Research, 2012, Toronto, Canada.
    • Presented at the 92st Transportation Research Board Annual Meeting, 2013, Washington DC.
  • Khan, M., and Machemehl, R., (2013). "An injury severity study of bicycle-motor vehicle crashes."    
    • Presented at the 93rd Transportation Research Board Annual Meeting, 2014, Washington DC.
    • Presented at the 17th IRF World Meeting & Exhibition, 2013, Riyadh, Kingdom of Saudi Arabia.
  • Khan, M., Abdel-Rahim, A., and Williams, C., (2013). "Potential crash reduction benefits of shoulder rumble strips in two-lane rural highways."
    • Presented at the 93rd Transportation Research Board Annual Meeting, 2014, Washington DC.
    • Presented at the 17th IRF World Meeting & Exhibition, 2013, Riyadh, Kingdom of Saudi Arabia.
  • Khan, M., Machemehl, R., and Zhang, Z., (2014).  “The impact of land-use variables on free-floating carsharing vehicle rental choice and parking duration.” Available at: https://dl.dropboxusercontent.com/u/35674979/CFP/proceedings/bduic2014_s...
    • Presented at the Big Data and Urban Informatics Workshop, 2014, Chicago, IL.
  • Khan, M., and Machemehl, R., (2014). “A truck trip generation model for Williamson County, Texas: survey analysis.”
    • Presented at the 94th Transportation Research Bo ard Annual Meeting, 2015, Washington DC. 

TECHNICAL REPORTS

  • Khan, M., and Machemehl, R., (2014). “Evaluation of potential impacts of natural gas alternative vehicle fuels on state transportation revenue: case study Texas." Technical paper, Department of Civil, Architectural and Environmental Engineering, The University of Texas at Austin. Available at: http://library.ctr.utexas.edu/ctr-publications/0-6581-CT-Task18.pdf 

WORKING PAPERS

  • Khan, M., and Machemehl, R., (2015). “Analyzing tour chaining patterns of urban commercial vehicles” Technical paper, Department of Civil, Architectural and Environmental Engineering, The University of Texas at Austin.

SELECTED CERTIFICATIONS, HONORS, AWARDS AND SKILLS

  • Texas EIT
  • International Road Federation (IRF) Road Scholar Program Executive Fellow for the year 2013.
  • ITS Texas Annual Scholarship for the 2013-2014 academic year.
  • Selected to participate in the 2014 Pan-American Advanced Studies Institute on Sustainable Urban Freight Systems (PASI-SUFS).
  • Bangladesh University of Engineering and Technology Merit Scholarship (from 2002 to 2006).
  • Bangladesh University of Engineering and Technology Dean’s List (from 2002 to 2006).
  • Bangladesh Country Coordinator of IRF.
  • Student Chapter Vice President of the Institute of Transportation Engineers at University of Texas at Austin in 2011.
  • Student Chapter Secretary of the Institute of Transportation Engineers at University of Idaho in 2009.
  • Computer skills include Microsoft Office, ArcGIS, TransCAD, SPSS, SAS, Stata, Limdep, Biogeme, VISSIM, CORSIM, Interactive Highway Safety Design Model, Visual Basic, GAMS, Gauss, R, and Matlab.