Author

Weijia Zhang

Publication Date

2017-4

Document Type

Honors Thesis

Degree Name

Bachelor of Arts

Department

Statistical and Data Sciences

Advisors

Ben Baumer

Keywords

Bike sharing, Citi Bike, Data science, R, MySQL, Relational database, Clustering, Drive distribution, Interactive visualization, Bicycle sharing programs-New York (State)-New York, Open source software, Electronic data processing-Data entry

Abstract

As the benefits of bike sharing systems around the world become more widely appreciated, additional research in this area is warranted. An example is the growing focus on the New York City Bike Sharing System (Citi Bike). The Citi Bike website contains publicly accessible data on 60 million trips from 2013 to present. This thesis describes platforms for users to retrieve information easily, which facilitates further analysis. We present an interactive visualization to display the trip information. Additionally, by concentrating on user behaviors, we model the user demand at docking stations for bike rental and return.

Language

English

Comments

84 pages : color illustrations. Includes bibliographical references (pages 65-68)

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