Community of Metros
The Community of Metros (COMET), formerly CoMET and Nova groups, is a multinational collection of metro systems focusing on international benchmarking, facilitated by the Transport Strategy Centre (TSC) at Imperial College London. The Community of Metros consist of 42 metro systems in 39 cities around the world. The groups are jointly owned and steered by the various members.
COMET benchmarking[]
The four main objectives of the metro benchmarking groups are:[1]
- To share knowledge and identify best practices in a confidential environment
- To support members in achieving their operational and strategic goals – focusing on improvements
- To build systems of measures for use by management and to establish public transport best practices
- To prioritise areas for improvement and support decision-making for management, boards, government, and other stakeholders
The key performance indicator (KPI) system is used by the COMET during the benchmarking process in order to compare performance across the member metro systems. The purpose of benchmarking is to search for best practices that lead to superior performance. There are approximately 30 top-level indicators, which are designed to measure the overall performance of the organisation in six distinct areas:[2]
- Growth, learning, and innovation
- Financial
- Customer
- Internal processes
- Safety and security
- Environment
The indicators are reviewed by members on an annual basis. The group members operate under a full confidentiality agreement. This allows for full data and information exchange within the COMET but not externally.[3]
Statistical analyses are used to provide greater understanding of the results, while time series analyses allow for trends in performance to be identified. This helps to highlight which members are changing their practices and what improvements are relatively achievable. Where clear differences or improvements in performance are identified, detailed analysis is carried out through case studies.[4] Multiple case studies are conducted in the COMET each year; these studies include detailed data analysis, questionnaires, and interviews with functional experts. Case studies are further supported by expert workshops where appropriate. In many cases, best practices may be found outside the metro industry, so other public transport operations and even other industries are reviewed for relevant practices.[5][6]
Membership[]
As of February 2021 the Community of Metros consisted of 42 metro systems located in 39 cities around the world.[7]
Americas[]
Buenos Aires Underground
Mexico City Metro
Montreal Metro
New York City Subway
Ottawa Light Metro
Metro Rio
Santiago Metro
São Paulo Metro
San Francisco BART
Toronto Subway
Washington Metro
Vancouver Light Rapid Transit
Asia and Oceania[]
Bangalore Metro
Bangkok MRT
Beijing Subway
Delhi Metro
Dubai Metro
Guangzhou Metro
Hong Kong MTR
Jakarta MRT
Kuala Lumpur MRT
Nanjing Metro
Seoul Metro
Shanghai Metro
Shenzhen Metro
Singapore MRT
Sydney Metro and Sydney Trains
Tokyo Metro
Taipei Metro
Europe[]
Barcelona Metro
Berlin U-Bahn
Brussels Metro
Istanbul Metro
Lisbon Metro
London DLR
London Underground
Madrid Metro
Moscow Metro
Newcastle Metro
Oslo Metro
Paris Métro and Paris RER
Major publications[]
Some of the major publication journals by COMET include:
- Canavan S, Barron A, Cohen J, Graham DJ, Anderson RJ et al. (2019). Best Practices in Operating High Frequency Metro Services, Transportation Research Record.
- Anupriya A, Graham D, Anderson R, Carbo JM et al. (2018). Cost Function for Urban Rail Transport Systems, Transportation Research Board 98th Annual Meeting.
- Canavan, S., Graham, D.J., Anderson, R.J., Barron, A. (2017). Urban Metro Rail Demand: Evidence from Dynamic Generalised Method of Moments (GMM) Estimates using Panel Data.
- Hörcher, D., Graham, D. J., and Anderson, R. J. (2017). Crowding cost estimation with large scale smart card and vehicle location data. TRANSPORTATION RESEARCH PART B: METHODOLOGICAL, 95, 105–125.
- Singh, R., Graham, D.J., Anderson, R. (2017) Characterising journey time performance on urban metro systems. TransitData conference, Santiago, Chile, 22 May 2017.
- Hörcher,D., Graham,D.J., Anderson,R., (2017) Crowding cost estimation with large scale smart card and vehicle location data, Transportation Research Part B: Methodological, pp. 105–125.
- Brage-Ardao, R., Graham, D.J., Anderson, R.J., Barron, A. (2017). Metro Operating Costs: Main Patterns and Determinants. Transportation Research Board 96th Annual Meeting.
References[]
- ^ "Benchmarking". CoMET and Nova Metro Benchmarking. Community of Metros. Retrieved 5 April 2020.
- ^ Condry, Ben. "International PublicTransport Benchmarking: Learning from others". Academia. Imperial College London. Retrieved 5 April 2020.
- ^ Anderson, Richard. "Metro Benchmarking Yield Tangible Benefits" (PDF). Imperial College London. Imperial College London. Retrieved 5 April 2020.
- ^ "Rail and Underground Panel" (PDF). Transport for London. Retrieved 5 April 2020.
- ^ "Benchmarking". Community of Metros. Community of Metros. Retrieved 5 April 2020.
- ^ "The Operator's Story Emerging Findings OECD ITF 2017, Leipzig" (PDF). World Bank / Imperial College London. Retrieved 18 April 2020.
- ^ "Members of the Community of Metros". Community of Metros Benchmarking Group. Members of the Community of Metros. Retrieved 27 February 2021.
External links[]
- Rapid transit