Benchmarking the performance of urban rail transit systems: a machine learning application-Reference-Cited by-同舟云学术

Benchmarking the performance of urban rail transit systems: a machine learning application

Published:2023-08-02 Issue: Volume: Page:
ISSN:2324-9935
Container-title:Transportmetrica A: Transport Science
language:en
Short-container-title:Transportmetrica A: Transport Science

Author:

Awad Farah A.¹²^ORCID,Graham Daniel J.¹^ORCID,AitBihiOuali Laila³^ORCID,Singh Ramandeep¹⁴^ORCID,Barron Alexander¹

Affiliation:

1. Transport Strategy Centre, Centre for Transport Studies, Department of Civil Engineering, Imperial College London, London, UK

2. Department of Civil Engineering, Al-Ahliyya Amman University, Amman, Jordan

3. Department of Civil Engineering, University of Southampton, Southampton, UK

4. School of Engineering and Design, Technical University of Munich, Munich, Germany

Publisher

Informa UK Limited

Subject

General Engineering,Transportation

Link

https://www.tandfonline.com/doi/pdf/10.1080/23249935.2023.2241566

Reference84 articles.

1. Formulation and estimation of stochastic frontier production function models

2. Gender differences in the perception of safety in public transport

3. Allen, D. W. 2014. “Economies of Scale in Operating Costs for LRT and Streetcars.” In Compendium of Papers of the 93rd Transportation Research Board Annual Meeting. Washington, DC.

4. Comparative analysis of passenger transport sustainability in European cities

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