Date of Award

12-2025

Degree Type

Report

Degree Name

Master of Science (MS)

Department

Mathematics and Statistics

Committee Chair(s)

Jürgen Symanzik (Committee Chair)

Committee

Jürgen Symanzik

Committee

Alexander Hohl

Committee

Brennan Bean

Abstract

In a heavily populated city as busy and vibrant as New York City, people are constantly on the move. Some of that movement might be connected to the occurrence of certain crimes. This study explores how movement, especially from yellow taxicabs, relates to crime occurrences within different parts of the city. By looking at the 2018 taxi trip and crime data, alongside population data from the 2020 U.S. Census, this project aims to explore how individuals travel within the city and whether there is any relationship with the types of crime that occur within those areas. Visual tools and maps were created using R, a free software for data analysis, which helps display these connections. The goal is to offer insights that could help support public safety and gain a general sense of movement within New York City.

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