Traffic Volume Estimation using Network Interpolation Techniques: An Application on Transit Ridership in NYC Subway System
Kriging method is a frequently used interpolation methodology in geography, which enables estimations of unknown values at certain places with the considerations of distances among locations. When it is used in transportation field, network distance is a better measurement of distance as traffic follows the network. This report presents the development of the Network Kriging method and demonstrates its application on predicting transit ridership. Network distance, instead of Euclidean distance, is used to reflect the fact that subway stations are only connected by subway tunnels. Results show that the Network Kriging method outperforms other approaches. And the application on transit ridership estimation indicates that the new service would largely relieve the traffic burden on current crowded subway lines, although the total fare revenue would not increase right after the new service.
- Record URL:
-
- Summary URL:
-
Supplemental Notes:
- This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
-
Corporate Authors:
Rensselaer Polytechnic Institute
110 Eighth Street
Troy, NY United States 12180University Transportation Research Center
City College of New York
Marshak Hall, Suite 910, 160 Convent Avenue
New York, NY United States 10031Research and Innovative Technology Administration
1200 New Jersey Avenue, SE
Washington, DC United States 20590 -
Authors:
- Zhang, Dapeng
- Wang, Xiaokun (Cara)
- Publication Date: 2013-12-31
Language
- English
Media Info
- Media Type: Digital/other
- Edition: Final Report
- Features: Figures; Maps; References; Tables;
- Pagination: 30p
Subject/Index Terms
- TRT Terms: Distance; Estimating; Interpolation; Ridership; Subways; Traffic volume
- Geographic Terms: New York (New York)
- Subject Areas: Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 01516629
- Record Type: Publication
- Report/Paper Numbers: 49111-23-24
- Files: UTC, TRIS, RITA, ATRI, USDOT
- Created Date: Feb 28 2014 1:32PM