Title
TRAVEL MODE DETECTION IN NEW YORK CITY USING SMARTPHONES AND GEOGRAPHIC INFORMATION SYSTEMS (GIS)
Date of Award
Summer 8-23-2017
Document Type
Thesis
Degree Name
Master of Arts (MA)
Departments/Programs
Geography
First Advisor
Jochen Albrecht
Second Advisor
Doug Williamson
Third Advisor
Carson J.Q. Farmer
Academic Program Adviser
Angela T Haddad
Abstract
A custom classification algorithm that accounts for the nuances of travel (e.g., underground movements, frequent mode changes, and severe urban canyon effects) in New York City combines a probabilistic random forest classifier with a deterministic GIS-based post-processing procedure to address the challenges of travel mode detection in the city.
Recommended Citation
Savage, Lerone A., "TRAVEL MODE DETECTION IN NEW YORK CITY USING SMARTPHONES AND GEOGRAPHIC INFORMATION SYSTEMS (GIS)" (2017). CUNY Academic Works.
https://academicworks.cuny.edu/hc_sas_etds/231