Improving the Service Quality of Bike Sharing Systems via the Analysis of Real-Time User Data
Bike sharing is an innovative urban transportation alternative that provides citizens fast access to bicycles for inner-city commuting. These types of systems are known for bringing significant benefits to its users in the form of a healthy and efficient transportation option, and to cities as an effective way of reducing CO₂ emissions and traffic. The principal objective of this project is to develop a predictive statistical framework to efficiently estimate the ability of a bike-sharing system to serve incoming bike requests. By mining user data collected from the system's smartphone app, an operator can utilize the proposed models to predict the likelihood that any potential user who desires to use the system decides to do so under the given the system's conditions the user encounters.
- Record URL:
Language
- English
Project
- Status: Active
- Funding: $75000
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Contract Numbers:
DTRT13-G-UTC48
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Sponsor Organizations:
State University of New York, Buffalo
212 Ketter Hall
Buffalo, NY United States 14260Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Project Managers:
Walteros, Jose
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Performing Organizations:
Transportation Informatics University Transportation Center
State University of New York, Buffalo
Buffalo, NY United States 14260 -
Principal Investigators:
Walteros, Jose
- Start Date: 20170901
- Expected Completion Date: 20180831
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers
Subject/Index Terms
- TRT Terms: Bicycle commuting; Bicycles; Data mining; Mathematical prediction; Mobile applications; Quality of service; Real time information; Statistical analysis; Urban transportation; Vehicle sharing
- Subject Areas: Data and Information Technology; Pedestrians and Bicyclists; Planning and Forecasting; Public Transportation;
Filing Info
- Accession Number: 01652077
- Record Type: Research project
- Source Agency: Transportation Informatics University Transportation Center
- Contract Numbers: DTRT13-G-UTC48
- Files: UTC, RIP
- Created Date: Nov 27 2017 2:28PM