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Using automatically collected data to improve the bus service planning process
Published 2011Get full text
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Using real-time data to improve reliability on high-frequency transit services
Published 2015Get full text
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Understanding bus passenger crowding through origin destination inference
Published 2016Get full text
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A Fare Approach to Attracting Transit Ridership After COVID-19
Published 2022“…The research analyzes the Massachusetts Bay Transportation Authority (MBTA), the regional transit agency for Greater Boston and one of the largest in the nation. …”
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Data-driven customer segmentation: Assessing disparities in COVID impact on public transit user groups and recovery
Published 2022“…This thesis examines these questions in the Metro Boston region by applying k-means clustering to smart card data from the Massachusetts Bay Transportation Authority (MBTA). We empirically determine customer segments based on passengerlevel pre-pandemic transit ridership patterns during January 13 - February 16, 2020, using data from 22.6 million trips by 1.5 million passengers. …”
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Climate Change Adaptation Planning and Decision Making for Transit Infrastructure
Published 2023“…Applying these methods to the Massachusetts Bay Transportation Authority (MBTA) rail rapid transit network, we find unprotected tunnel portals responsible for a disproportionate volume of tunnel inflow. …”
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Thesis