Dr. Arefeh Nasri is a Faculty Research Scientist at the National Center for Smart Growth (NCSG) at the University of Maryland, College Park. She earned her Master’s degree from Rutgers University in Urban and Regional Planning in 2009 and her Ph.D. in Transportation Engineering from University of Maryland, College Park in 2016. Prior to joining the center in July 2018, she worked as a post-doc researcher at the Maryland Transportation Institute (MTI), University of Maryland, College Park.
Dr. Nasri has been involved in many projects funded by FHWA, Maryland State Highway Administration, and the U.S. Department of Transportation within the past eight years. She has worked with a lot of data sources and has good knowledge and experience in travel behavior analyses, transportation demand modeling, and transportation- land use policy analysis. She has presented her work in many international workshops and conferences such as Transportation Research Board’s annual meeting, International Association for Travel Behavior Research Conference (IATBR), World Symposium on Transportation and Land Use Research (WSTLUR), Innovations in Transportation Modeling (ITM), etc. and has published several papers in peer-reviewed journals such as Transport Policy, Journal of Urban Planning and Development, Transportation Research Records, Transport Geography, Transportation, Journal of Transportation and Land Use (JTLU), etc. She serves as a reviewer of several peer-reviewed journals such as Journal of Transport and Land Use, Transport Policy, Sustainability, and Transportation research records, and Urban Studies. She is currently a member of Intelligent Transportation Society, Maryland Chapter (ITSMD), National Defense Transportation Association, World Society for Transport and Land Use Research, and American Society of Civil Engineers.
Dr. Nasri’s research has been focused on land use and travel behavior interactions and she has worked on developing new methodologies toward measuring land use pattern at multiple geographical scales and its impact on travel behavior and investigating how land use policies such as infill development and Transit-Oriented Development would change transportation decisions and travel patterns.
She is interested in continuing this line of research by analyzing how land use policies influence travel patterns over time with respect to increased mobility and new technologies such as automated vehicles, availability of real-time travel information, and new ridesharing services and what are the new policies we need in the future to respond to such changes in travel patterns.
Her research interests also include travel behavior analysis using big data and shared mobility analysis. She is interested in exploring how social media data, cell phone location data, and GPS vehicle traces data could be used in various ways to understand and analyze different aspects of travel behavior at both household/individual and regional levels and also investigating the effects of shared mobility [i.e., ridesharing and transportation network companies such as Uber and Lyft, and bikeshare systems] on travel pattern, economic development, public health, and environmental issues.
- Yang, Z., Franz, M., Zhu, S., Mahmoudi, J., Nasri, A., and Zhang, L. (2018). Analysis of Washington, DC Taxi Demand Using GPS and Land-Use Data. Transport Geography, Volume 66, Pages 35–44.
- Nasri, A., Zhang, L., and Baghaei, B. (2018) Using Propensity Score Matching Technique to Address Self-selection in Transit-Oriented Development Areas, Transportation, https://doi.org/10.1007/s11116-018-9887-2.
- Nasri, A. and Zhang, L. (2018). A Multi-Dimensional Multi-level Approach to Measuring the Spatial Structure of U.S. Metropolitan Areas. Journal of Transport and Land Use, 11(1).
- Yang, D., Xiong, C., Nasri, A., & Zhang, L. (2017). Hidden Markov Approach to Dynamically Modeling Car Ownership Behavior. Transportation Research Record: Journal of the Transportation Research Board, (2645), 123-130.
- Nasri, A. and Zhang, L. (2018). Effect of Multi-level Urban Form on Commuting Mode Share in Rail Station Areas Across the United States; a Seemingly Unrelated Regression Approach. Transport Policy, in press. Doi; https://doi.org/10.1016/j.tranpol.2018.05.011
- Nasri, A., Kwong, J., and Zhang, L. Employment Subcenters, Polycentricity, and Travel Behavior: The Tale of Two Cities in the U.S. Under review in the Journal of Transport Geography.
- Zamir, K. R., Nasri, A., Baghaei, B., Mahapatra, S., and Zhang, L. (2014). Effects of Transit-Oriented Development on Trip Generation, Distribution, and Mode Share in Washington, DC and Baltimore, Maryland. Transportation Research Record: Journal of the Transportation Research Board, 2413(1), 45-53.
- Nasri, A., & Zhang, L. (2014). Assessing the impact of metropolitan-level, county-level, and local-level built environment on travel behavior: Evidence from 19 US urban areas. Journal of Urban Planning and Development, 141(3), 04014031.
- Nasri, A., & Zhang, L. (2014). The analysis of transit-oriented development (TOD) in Washington, DC and Baltimore metropolitan areas. Transport Policy, 32, 172-179.
- Nasri, A., & Zhang, L. (2012). Impact of metropolitan-level built environment on travel behavior. Transportation Research Record: Journal of the Transportation Research Board, 2323(1), 75-79.
- Zhang, L., Hong, J. H., Nasri, A., & Shen, Q. (2012). How built environment affects travel behavior: A comparative analysis of the connections between land use and vehicle miles traveled in US cities. Journal of Transport and Land Use, 5(3).
- Nasri, A., Zhu, Z., Zamir, K. R., Xiong, C., and Zhang, L. Simulation-Based Approach for Analyzing the Regional and Local Impacts of Transit-Oriented Development on Congestion and Emissions. Under Review in the Journal of Transportation Engineering.
- Nasri, A. & Zhang, L. Multilevel Urban Form and Bikesharing: Insights from Five Bikeshare Programs across the United States. Under Review in the Transportation Research Part A: Policy and Practice.
- Younes, H., Nasri, A., Baiocchi, G., & Zhang, L. How Transit Service Closures Influence Bikesharing Demand; Lessons Learned from SafeTrack Project in Washington, D.C. Metropolitan Area. Under Review in Journal of Transport Geography.
- Nasri, A., Zhang, L., Fan, J., Stewart, K., Younes, H., Fu, C., & Jessberger, S. Advanced Vehicle Miles Traveled (VMT) Estimation methods for Non Federal-Aid System (NFAS) Roadways Using GPS Vehicle Trajectory Data and Statistical power Analysis. Under review in Transportation Research Record.
- Sun, Q., Nasri, A., Younes, H., Zhang, L., Estimation of Annual Average Daily Traffic (AADT) on Local Roads Using Artificial Neural Network: The Case of Maryland versus New Mexico. Under review in Transportation Research Record.