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Data analysis / Forecasting / Time series analysis / Trip distribution / Regression analysis / Calibration / High-speed rail / Mode choice / Prediction / Statistics / Transportation planning / Statistical forecasting


FINAL REPORT Ridership Technical Advisory Panel Review of the California High-Speed Rail Ridership and Revenue Forecasting Process Findings and Recommendations from the Nov[removed]Jan[removed]Review Period
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Document Date: 2014-09-16 17:03:44


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File Size: 39,29 KB

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City

Zurich / San Francisco / /

Company

BP / NEC / Parsons / /

Currency

USD / IDR / /

Facility

University of Toronto / Swiss Federal Institute of Technology Zurich / A station / /

IndustryTerm

transportation / automobile travel / age / model systems / long-distance travel / air travel / induced travel / /

Organization

University of California / Metropolitan Transportation Commission / Department of Economics / Swiss Federal Institute of Technology Zurich / Institute for Transport Planning and Systems / Northwestern University / California High-Speed Rail Authority / Department of Civil Engineering / Ridership Technical Advisory Panel / University of Toronto / /

Person

Kay W. Axhausen / David Ory / Frank S. Koppelman / Rick Donnelly / Kenneth A. Small / Eric Miller / Thierry Prate / /

Position

representative of the program management team / Professor Emeritus / Model Development CS / executive director / Professor / Principal Planner/Analyst / Major / demand consultant / consultant / model / as the Panel had requested earlier / Private / Professor Emeritus of Civil Engineering / /

ProvinceOrState

California / /

SportsLeague

Southern Association / /

SocialTag