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Dynamic vs. fixed pricing in urban mobility: an empirical analysis of fare sensitivity in taxi services
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This thesis examines the interplay across diverse mobility options in New York City, focusing
on cost variability and commuter behavior. This work investigates the evolution of fare
disparities between taxis, using comprehensive datasets from NYC’s Taxi and Limousine
Commission. The study revealed how commuter choices are influenced by operational regions
and pricing models: key findings highlight significant temporal and spatial fare trends. A
comparative analysis of dynamic versus fixed pricing models showcased the flexibility of ride hailing platforms like Uber in addressing peak demands and spatial variations, differing from
the rigidity observed in traditional pricing systems. These analyses provide critical insights into
spatiotemporal variations in taxi demand, including the differential impacts of demographic
factors. The findings aim to guide policymakers in developing adaptive and sustainable
mobility strategies tailored to the evolving urban landscape.
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Urban mobility Geo-specific Analysis Trend analysis Raid-hailing services Fare elasticity