Mode: transit

Data-driven customer segmentation: Assessing disparities in COVID impact on public transit user groups and recovery

Rachel Li-Jiang Luo

December 22, 2021

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Exogenous drivers of public transit and ride-hailing ridership: a study of policy intervention, COVID-19, and the relationship between ride-hailing and public transit in Chicago

Patrick S. Meredith-Karam

July 31, 2021

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Comparison of Door-to-Door Transit Travel Time Estimation Using Schedules, Real-Time Vehicle Arrivals, and Smartcard Inference Methods
July 29, 2021

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DOI
Predictive decision support platform and its application in crowding prediction and passenger information generation
June 6, 2021

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Expanding access to the city : how public transit fare policy shapes travel decision making and behavior of low-income riders

Jeff Rosenblum

May 19, 2021

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Dynamic Origin-Destination Prediction in Urban Rail Systems: A Multi-resolution Spatio-Temporal Deep Learning Approach
January 12, 2021

Read more: Dynamic Origin-Destination Prediction in Urban Rail Systems: A Multi-resolution Spatio-Temporal Deep Learning Approach

DOI
Machine-learning-augmented analysis of textual data: application in transit disruption management
November 21, 2020

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Modeling Epidemic Spreading through Public Transit using Time-Varying Encounter Network
November 21, 2020

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Automated Information Extraction From Textual Data: Application In Transit Disruption Management
August 9, 2020

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Bundled Mobility Passes in Chicago: Consumer Preference and Revenue Implications
- Apaar Bansal
- Jinhua Zhao
August 8, 2020

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