Biblio
Found 274 results
Small Nudges, Big Data: Evaluating the Impact of MIT Commuting Benefits Program. In: International Conference on Transport Survey Methods. Estérel, Canada; 2017.
To Share or Not to Share: Investigating the Social Aspects of Dynamic Ridesharing. Transportation Research Record: Journal of the Transportation Research Board. 2017.
The Tradeoff Between Efficiency and Fellow Passenger Preference: a Preference-Based Ridesharing Model. In: Transportation Research Board 96th Annual Conference. Washington, D.C.; 2017.
Traffic Law Compliance by Chinese Drivers: Demographics and Motivations. In: Transportation Research Board 96th Annual Meeting.; 2017.
User Identification of and Attitude Toward Dynamic Ridesourcing Services. In: Transportation Research Board 96th Annual Conference. Washington, D.C.; 2017.
What Drives the Increasing Costs of Transit Operations? The Implications of Labor Productivity, Contracting Out, and Unionization. In: Transportation Research Board 96th Annual Meeting.; 2017.
Worse than Baumol's disease: The implications of labor productivity, contracting out, and unionization on transit operation costs. Transport Policy. 2017;61:10-16.
Better, Quicker, Together: Enabling Public Transport Service Quality Co-monitoring Through a Smartphone-Based Platform. Vol Master of City Planning, Master of Science in Transportation. Cambridge, MA: Massachusetts Institute of Technology; 2016.
C-IMAGE: city cognitive mapping through geo-tagged photos. GeoJournal. 2016;81(6).
Clustering the Multi-week Activity Sequences of Public Transport Users. In: 95th Transportation Research Board Annual Meeting. Washington, D.C.: Transportation Research Board; 2016.
Cross-City Comparison: Impacts of Madrid-Seville High-Speed Rail on Population Growth. In: 95th Transportation Research Board Annual Meeting. Washington, D.C.: Transportation Research Board; 2016.
Establishing Transit-Oriented Development on the Ground: A Case-Based Analysis of Implementing TOD in China. In: 95th Transportation Research Board Annual Meeting. Washington, D.C.: Transportation Research Board; 2016.
Exploring Urban Activity Patterns Using Electric Smart Meter Data. Vol Master of Science in Transportation.; 2016.
Factors affecting the gas price elasticity of travel demand : implications for transportation emissions policy. Vol Master of City Planning. Cambridge, MA: Massachusetts Institute of Technology; 2016.
FMS-TQ: Combining Smartphone and iBeacon 4 Technologies in A Transit Quality Survey. In: 95th Transportation Research Board Annual Meeting. Washington, D.C.: Transportation Research Board; 2016.
Ghosts in the Machine: The Influence of Proximity to Past Rail on Current Auto Ownership. In: 95th Transportation Research Board Annual Meeting. Washington, D.C.: Transportation Research Board; 2016.
Individual-Level Trip Detection using Sparse Call Detail Record Data based on Supervised Statistical Learning. In: Transportation Research Board 95th Annual Meeting.; 2016.
Inferring patterns in the multi-week activity sequences of public transport users. Transportation Research Part C: Emerging Technologies. 2016;64:1-16.
Measuring Explicit and Implicit Social Status Bias in Car vs. Bus Mode Choice. In: 95th Transportation Research Board Annual Meeting. Washington, D.C.: Transportation Research Board; 2016.
Normative and Image Motivations for Compliance with Sustainable Transportation Policy. Urban Studies. 2016.
Perspectives on the Ridesourcing Revolution : surveying individual attitudes toward Uber and Lyft to inform urban transportation policymaking. Vol Master of City Planning. Cambridge, MA: Massachusetts Institute of Technology; 2016.
Productivity and costs in the transit sector : the impact of Baumol's cost disease. Vol Master of Science in Transportation. Cambridge, MA: Massachusetts Institute of Technology; 2016.
Reducing Subway Crowding: Analysis of an Off-peak Discount Experiment in Hong Kong. Transportation Research Record: Journal of the Transportation Research Board. 2016.