Some of our research publications:
Our underlying software is based on the Future Mobility Sensing (FMS) software developed by researchers at the Massachusetts Institute of Technology. The software has been applied in large-scale data collection projects and pilot programs around the globe. We invite you to read the following publications that describe various applications of the FMS and MMM platforms.

Journal of Choice Modelling, vol. 31, June 2019, Pages 35-50.

Context-Aware Stated Preferences with Smartphone-Based Travel Surveys

Danaf, Mazan, Bilge Atasoy, Carlos Lima de Azevedo, Jing Ding-Mastera, Maya Abou-Zeid, Nathanael Cox, Fang Zhao, Moshe Ben-Akiva

National Household Travel Survey (NHTS) Data for Transportation Applications Workshop, Washington, DC, August 8-9, 2018.

Insights on Data Quality from a Large-Scale Application of Future Mobility Sensing Technology in Greater Phoenix, AZ

Gershenfeld Shari, Shuyao Hong, Vladimir Livshits, Jorge Santos, Fang Zhao, Moshe Ben-Akiva

Transportation, vol. 45, no. 2, 2018.

Assessing the representativeness of a smartphone-based household travel survey in Dar es Salaam, Tanzania

Zegras, Chris, Menghan Li, Talip Kilic, Nancy Lozano-Gracia, Ajinkya Ghorpade, Marco Tiberti, Ana I. Aguilera, Fang Zhao

Quality of Life and Daily Travel, Springer International Publishing, 2018, pp. 95-118.

Dynamic Modeling of Activity Happiness: An Investigation of the Intra-activity Hedonic Treadmill

Viegas de Lima, Isabel, Maya Abou-Zeid, Ronny Kutadinata, Zahra Navidi, Stephan Winter, Fang Zhao, and Moshe Ben-Akiva

the 97th Transportation Research Board Annual Meeting, January 2018.

Tripod: Sustainable Travel Incentives with Prediction, Optimization, and Personalization

Azevedo, Carlos L., Ravi Seshadri, Song Gao, Bilge Atasoy, Arun Akkinepally, Hyoshin Park, Xiang Song, Samarth Gupta, Yihang Sui, David Sukhin, Zachary Needell, Sayeeda Ayaz, Eleni Christofa, Fang Zhao, Jessika Trancik, and Moshe Ben-Akiva

the 97th Transportation Research Board Annual Meeting, January 2018.

Combining GPS Data Collection with Assisted Machine Learning to Enhance Freight Vehicle and Driver Surveys: Methodology and Demonstration

Ding-Mastera, Jing, Peiyu Jing, Monique Stinson, Eric Manzi, Fang Zhao, Vittorio Marzano, Lynette Cheah, and Moshe Ben-Akiva

Transportation Research Record: Journal of the Transportation Research Board, vol. 2672, issue 42, 2018.

Enriching Activity-based Models Using Smartphone-based travel Surveys

Nahmias, Bat-hen, Yafei Han, Shlomo Bekhor, Fang Zhao, Christopher Zegras, and Moshe Ben-Akiva

the 10th International Conference on City Logistics, June 2017.

Next-generation Commodity Flow Survey: A Pilot in Singapore

Cheah, Lynette, Fang Zhao, Monique Stinson, Fangping Lu, Jing-Ding Mastera, Vittorio Marzano, and Moshe Ben-Akiva

the 96th Annual Meeting of the Transportation Research Board (TRB ’17).

Enabling Transit Service Quality Co-monitoring Through a Smartphone-Based Platform

Corinna Li, P. Christopher Zegras, Fang Zhao, Zhengquan Qin, Ayesha Shahid, Moshe Ben-Akiva, Francisco Pereira, and Jinhua Zhao

Transportation Research Record (TRR): Journal of the Transportation Research Board, vol 2494.

Exploratory analysis of a smartphone-based travel survey in Singapore

Zhao, F., Pereira, F. C., Ball, R., Kim, Y., Han, Y., Zegras, C., and Ben-Akiva, M. - Winner of 2015 PYKE JOHNSON AWARD for best paper in planning and environment.

Transportation Research Procedia, Special issue on Transport Survey Methods: Embracing Behavioural and Technological Changes, vol. 11, pages 218–226, 2015.

Stop detection in smartphone-based travel surveys

Zhao, F., Ghorpade, A., Pereira, F. C., Zegras, C., and Ben-Akiva, M.

Transportation Research Record: Journal of the Transportation Research Board, issue 2354, pp 59-67, 2013.

Future Mobility Survey: Experience in Developing a Smart-Phone-Based Travel Survey in Singapore

Cottrill, Caitlin, Francisco Pereira, Fang Zhao, I. Dias, H. B. Lim, Moshe Ben-Akiva, Chris Zegras

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