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OhmicFlow: Forecasting transit passenger flow under extreme weather disruptions via Ohm's law
As climate change intensifies, extreme weather events (EWEs) increasingly disrupt the supply-demand balance of mass transit systems. Accurate and reliable prediction of origin-destination (OD) passenger flow is essential for timely emergency response, but remains difficult under abnormal conditions.
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