Predicting Pedestrian Counts using Machine Learning
Molly Asher
School of Geography, University of Leeds, UK
Yannick Oswald
School of Geography, University of Leeds, UK
Nick Malleson
School of Geography, University of Leeds, UK
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How rainfall is distributed over the course of a storm can critically shape flooding, erosion, and water resource impacts. This study reviews nearly fifty metrics used to describe storm patterns and tests their performance when rainfall events are processed differently or are at different resolutions. Our results reveal which metrics are most robust, how they overlap or diverge, and introduce a unifying framework that clarifies storm structure for future research and applied use.
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