Publications
-
Shamshiripour, A., Rahimi, E., Shabanpour, R. and Mohammadian, A.K., 2020. “Dynamics of travelers’ modality style in the presence of mobility-on-demand services.” Transportation Research Part C: Emerging Technologies, 117, p.102668. https://doi.org/10.1016/j.trc.2020.102668
-
Shamshiripour, A., Golshani, N., Shabanpour, R. and Mohammadian, A. K., 2019. “Week-long mode choice behavior: dynamic random effects logit model.” Transportation research record, 2673(10), pp.736-744. https://doi.org/10.1177/0361198119851746
-
​Shamshiripour, A., Rahimi, E., Shabanpour, R. and Mohammadian, A.K., 2020. “How is COVID-19 reshaping activity-travel behavior? Evidence from a comprehensive survey in Chicago.” Transportation Research Interdisciplinary Perspectives, 7, p.100216. https://doi.org/10.1016/j.trip.2020.100216
Selected Presentations
-
Shamshiripour, A., Rahimi, E., Shabanpour, R., Golshani, N., Mohammadian, A. K., 2021. “The Effect of Productivity of Telecommuting During the COVID-19 Pandemic on Workers’ Post-pandemic Intentions to Telecommute”, Transportation Research Board 100th Annual Meeting. Washington D.C.
-
Rahimi, E., Shekari, E., Shamshiripour, A., Javadinasr, M. J., Mohammadian, A. K., 2022. “Analyzing the Usage Frequency of Shared Electric Scooters During the COVID-19 Pandemic”, Transportation Research Board 101st Annual Meeting. Washington D.C.
Recent Research Projects
-
A multi-day Needs-based Approach to Travel Demand and the Impact of Autonomous Vehicles on Mode Choice
Collaborators: Kexin (Sally) Chen, Jingping (Jenna) Guan, Varun Pattabhiraman, Ravi Seshadri, Moshe Ben-Akiva
Sponsor: Shenzhen Urban Transport Planning and Design Research Center, Shenzhen, China.
Research context: China – nation-wide
​
-
Behavioral Response to Mobility-as-a- Service Across Different Types of Cities
Collaborators: Emma Desoto, Jingping (Jenna) Guan, Ravi Seshadri, Carlos M. Lima Azevedo, Moshe Ben-Akiva
Sponsor: Ford, U.S.
Research context: Three North American Prototypical cities of: Auto Innovative, Auto Sprawl, and Mass-transit Heavy Weight (see Oke et al. (2019) for a list of all prototypical classes.)