Use of entry-only automatic fare collection data to estimate linked transit trips in New York city

Transportation Research Record

Volumn , Issue 2112, 2009, Pages 53-61

  Barry, James J ^a   Freimer, Robert ^b   Slavin, Howard ^b  

^a Metropolitan Transportation Authority   (United States)

^b CALIPER CORPORATION   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BUS TRANSPORTATION; INFORMATION MANAGEMENT; INFORMATION USE; LOCATION; MASS TRANSPORTATION; SEARCH ENGINES;

COLLECTION SYSTEMS; DATA SET; DEMAND FORECASTING; FARE COLLECTIONS; FORECASTING MODELS; NEW YORK CITY; OPERATION PLANNING; REVENUE MANAGEMENT; SYSTEM USE; TRANSIT SYSTEMS;

BUSES;

EID: 76149088437     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/2112-07     Document Type: Article

References (7)

1. Zhao, J. Rail Transit OD Planning and Analysis Implications of Automated Data Collection Systems: Rail OD Matrix Inference and Path Choice Modeling Examples. MS thesis. Department of Urban Studies and Planning and Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, 2004.
2. Barry, J. J., R. Newhouser, A. Rahbee, and S. Sayeda. Origin and Destination Estimation in New York City with Automated Fare System Data. In Transportation Research Record: Journal of the Transportation Research Board, No.1817, Transportation Research Board of the National Academies, Washington, D.C., 2002, pp. 183-187.
3. Rahbee, A., and D. Czerwinski. Using Entry-Only Automatic Fare Collection Data to Estimate Rail Transit Passenger Flows at CTA. Proc., 2002 Transport Chicago Conference, Chicago, Ill., 2002.
4. Wilson, N. H. M., J. Zhao, and A. Rahbee. The Potential Impact of Automated Data Collection Systems on Urban Public Transport Planning. In Schedule-Based Modeling of Transportation Networks. Springer, New York, 2009, pp. 75-99.
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6. Zhao, J., A. Rahbee, and N. H. M. Wilson. Estimating a Rail Passenger Trip Origin-Destination Matrix Using Automatic Data Collection Systems. Computer-Aided Civil and Infrastructure Engineering, Vol.22, No.5, 2007, pp. 376-387.
7. Slavin, H., A. Rabinowicz, J. Brandon, G. Flammia, and R. Freimer. Using Automatic Fare Collection Data, GIS, and Dynamic Schedule Queries to Improve Transit Data and Transit Assignment Models. In Schedule-Based Modeling of Transportation Networks (N. H. M. Wilson and A. Nuzzolo, eds.). Springer, New York, 2009, pp. 101-118.