P-35 Modeling Supply and Demand in Public Transportation Systems
Presenter Status
Undergraduate Student, Mathematics
Second Presenter Status
Undergraduate Student, Applied Mathematics
Third Presenter Status
Undergraduate Student, Statistics
Fourth Presenter Status
Undergraduate Student, Mathematics
Preferred Session
Poster Session
Location
Buller Hall Hallways
Start Date
21-10-2022 2:00 PM
End Date
21-10-2022 3:00 PM
Presentation Abstract
The Harrisonburg Department of Public Transportation (HDPT) aims to leverage their data to improve the efficiency and effectiveness of their operations. We construct two supply and demand models that help the department identify gaps in their service. The models take many variables into account, including the way that the HDPT reports to the federal government and the areas with the most vulnerable populations in Harrisonburg City. We employ data analysis and machine learning techniques to make our predictions.
P-35 Modeling Supply and Demand in Public Transportation Systems
Buller Hall Hallways
The Harrisonburg Department of Public Transportation (HDPT) aims to leverage their data to improve the efficiency and effectiveness of their operations. We construct two supply and demand models that help the department identify gaps in their service. The models take many variables into account, including the way that the HDPT reports to the federal government and the areas with the most vulnerable populations in Harrisonburg City. We employ data analysis and machine learning techniques to make our predictions.
Acknowledgments
James Madison University
National Science Foundation (NSF)