Machine learning-based cost predictive model for better operating expenditure estimations of U.S. light rail transit projects

Author:

Zhou Gordon,Etemadi Amir,Mardon Austin

Publisher

Elsevier BV

Subject

Urban Studies,Transportation,Geography, Planning and Development

Reference15 articles.

1. Bureau of Economic Analysis. (2019). GDP by State. Accessed March 13, 2021. https://www.bea.gov/data/gdp/gdp-state.

2. A comparison of machine learning methods for the prediction of traffic speed in urban places;Bratsas;Sustainability,2019

3. Catalina, A. (2016). “Development of a Statistical Theory-Based Capital Cost Estimating Methodology for Light Rail Transit Corridor Evaluation Under Varying Alignment Characteristics.” PhD diss., University of Kentucky.

4. Support vector regression for real-timeflood stage forecasting;Chen;J. Hydrol.,2005

5. Congressional Research Service. (2020). Federal Public Transportation Program: In Brief. Accessed March 13, 2021. https://fas.org/sgp/crs/misc/R42706.pdf.

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