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Abstract

This paper seeks to figure out the effect weather has on individuals’ behavior. A more focused approach to determining this effect is seeing how different weather conditions ranging from the temperature, the precipitation, the amount of inches of snowfall and the wind speed effect the ridership of Citi Bikes throughout all four seasons. The approach of this research paper is using data from the National Climatic Data Center that focuses in on the weather found in Manhattan, New York and correlates each of the weather conditions to the total number of trips per day that is provided by the Citi Bike website. The results reflect that higher temperatures, a lower amount of precipitation, less snowfall and a slower wind speed results in a higher amount of ridership of Citi Bikes.

 

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