Date of Award
Summer 2014
Degree Type
Thesis
Degree Name
Master of Science in Engineering (MSE)
Department
Civil Engineering
First Advisor
Ukkusuri V. Satish
Committee Chair
Ukkusuri V. Satish
Committee Member 1
Hubo Cai
Committee Member 2
Mannering L. Fred
Abstract
In recent years, the fast development of pervasive computing technologies gives us access to a variety of big data sources, such as mobile phone users, bank note movements and twitter posts etc. It provides unprecedented opportunities to conduct urban studies and contributes to the sustainable and efficient development of large cities. While big data is an invaluable treasure, our knowledge is limited due to lack of appropriate tools to analyze the data. Hence, this thesis is mainly focused on demonstrating how taxicab data can be used to study urban travel patterns and explore useful insights.
Recommended Citation
Qian, Xinwu, "Big data analytics with NYC taxicab data" (2014). Open Access Theses. 669.
https://docs.lib.purdue.edu/open_access_theses/669