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Forecasting / Regression analysis / Bus rapid transit / Canada Line / Light rail / Bay Area Rapid Transit / Forecast error / Patronage / Orange Line / Transport / Transportation planning / Transportation forecasting


The Accuracy of Transit System Ridership Forecasts and Capital Cost Estimates
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Document Date: 2012-08-29 00:55:03


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File Size: 224,98 KB

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City

Las Vegas / Pittsburgh / Dallas / Los Angeles / Fairfax / Miami / Oakland / Boston / St. Louis / /

Company

Hess / /

Country

United States / United Kingdom / /

Currency

USD / /

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Facility

Public Policy George Mason University / /

IndustryTerm

finance forecasting / rail-based transit systems / largescale transit systems / capital-intensive public transportation systems / later systems / fixed-guideway transit systems / transit technology / rail technology / transportation work / policy tool / least complex technology / light rail transit systems / gas price / light rail systems / bus-based rapid transit systems / transportation projects / technology-based system / transportation forecasting / transportation context / transportation infrastructure projects / bus systems / transit systems / Gas prices / /

Organization

US Federal Transit Administration / Kenneth J. Button∗ School / George Mason University / Transportation Research Board / National Bus Rapid Transit Institute / /

Person

Dan MacFadden / Kenneth J. Button / Graham Carey / Xin Zhou / Milton Friedman / Matthew H. Hardy / Donald Pickrell / /

Position

contractor / Corresponding author / /

ProgrammingLanguage

L / R / /

ProvinceOrState

Virginia / Oregon / /

Technology

transit technology / rail technology / 0 Technology / three technologies / /

URL

http /

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