Inferring demand from partially observed data to address the mismatch between demand and supply of taxis in the presence of rain
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Analyzing mismatch in supply and demand of taxis is an important effort to understand passengers' demand. In this paper, we have analyzed the effect of rain on the demand for yellow taxis in city-wide as well as in a point of interest in New York City. Because a pickup event is a realized demand, we studied empty travel time, the number of pickups per driver, the average amount of income per drive indices to infer demand from taxis data of 2013. Findings highlight that the higher demand exists because of many short-trips during the rain. This paper illustrates the change in passengers' demand increased by the onset of weather condition.
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