Abstract
As a global financial center, the transportation system in New York City (NYC) has always been studied from various aspects. Since 2009, NYC Taxi and Limousine Commission have made public the information on NYC taxi operations, offering an opportunity for detailed analysis. Thus, this research project investigates taxi operations in New York City based on big data analysis. The correlation between taxi operations and different types of weather, including precipitation, snow depth, and snowfall is discussed in this paper. The research also evaluates taxi trip distribution in each NTA area using Geopandas, and presents its density on an NYC map.
Highlights
As a global financial center, New York City is frequently studied by researchers, and its transportation has become an increasingly important topic
A large amount of data related to transportation released by New York City (NYC) Taxi and Limousine Commission makes more sophisticated analysis possible
Distribution of taxi trips in each NTA area defined by Geopandas will be studied, and its density will be shown on a plotted NYC map
Summary
As a global financial center, New York City is frequently studied by researchers, and its transportation has become an increasingly important topic. Using big data analysis to study taxi operations in the city of New York, this research paper explores the statistics of taxi’s payment type, daily and monthly trend of taxi operation, its long-term trend, and the impact of weather. In 2013, Whong studied 170 million taxi trips in NYC and collected information of each trip’s tip, total payment, number of passengers, trip start point, and trip end point [1]. Tang show how each component of taxi operation had changed over time This visualization enabled audience to observe taxi’s movement directly and clearly in NYC. Distribution of taxi trips in each NTA area defined by Geopandas will be studied, and its density will be shown on a plotted NYC map
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