Performance measurement – Community of Metros Benchmarking Group

Community of Metros News: CoMET 2019 Management Meeting in Madrid

March 28, 2019

The CoMET group convened in Madrid for the first meeting of the year. The CoMET 2019 Management Meeting welcomed all 17 members of CoMET for the first time since 2016. The group also welcomed metros visiting from Nova – Metropolitano de Lisboa, San Francisco BART, and Transports Metropolitans de Barcelona – and Tokyo Metro as observers to the meeting. Members were welcomed to the meeting by Borja Carabante, Chief Executive Officer at Metro de Madrid, and Rosalía Gonzales López, President of the Board of Directors of Metro de Madrid and the Regional Minister of Transport, Housing and Infrastructure.

The group was particularly honoured to share in Metro de Madrid’s 100th Anniversary celebrations, taking place throughout 2019. During the meeting, members had the opportunity to learn about the history of Metro de Madrid through visits to Chamberi station museum, where a variety of restored trains and artefacts are on display, and Chamartín station, which is a good example of historical station design. Members also learned about Metro de Madrid’s “Estación 4.0” where new innovations for the metro are tested.

Members also exchanged their latest activities, challenges and initiatives during meeting sessions, as well as focusing on preparations and lessons learned from major events. The RTSC presented latest benchmarking results from studies such as Energy Saving Strategies, Escalator Management (Availability, Assets and Safety), and Metro Security, as well as exploring key performance indicators focusing on key areas of metro operations and management.

The annual Management Meeting is where the upcoming CoMET work programme is determined by the members. After voting on 36 potential topics for study in 2019, the group agreed on four studies for 2019 – a large study focusing on station staffing models, real-time travel information, and focused studies on best practices using signage in stations and trains, and digital transformation of metros. The studies will be carried out by the Railway and Transport Strategy Centre (RTSC) at Imperial College London over the next year.

RTSC presents big data research to President Xi Jinping

December 1, 2015December 1, 2015

Chinese President Xi Jinping visited Imperial College London on the 21st October. As a result of a collaboration between the RTSC, Shanghai Metro, and the Data Science Institute (DSI) of Imperial, the Presidential visit included a presentation on the analysis of smartcard data for the Shanghai Metro network.

Our main research objective was to improve our understanding of demand patterns captured in smartcard data. We visualised passenger flows entering and exiting Shanghai metro stations using the extraordinary visualisation capabilities of the KPMG Data Observatory of DSI. The Data Observatory is the largest of its kind in Europe, featuring an enveloping circular wall of 64 monitors powered by 32 computers facilitating 313 degrees of surround vision.

In the second part of the presentation we visualised a simulation scenario for a hypothetical train service disruption. This allowed us to predict how temporary demand shocks would spread through other parts of the network. Studying disruption scenarios enables operators to prepare for unexpected events and improve the resilience of urban rail networks.

The Presidential visit proved to be an excellent opportunity to showcase the RTSC’s recently developed competences in big data analysis, and the potential of smart card data in cutting edge public transport research.

Research: Understanding and Using Service Performance Data

July 17, 2015

Service performance measurements are crucial for understanding how metro services are running, so obtaining and leveraging accurate data in the form of useful metrics is key to improving performance. This research project aimed to understand what metrics metros are using to manage their service performance, including their precise definitions, and what methods they use to obtain the required data.

Five categories of service performance measurements help to answer the most important management questions about service performance. A comprehensive system of KPIs needs to comprise a balanced set of service performance measurements covering all five categories.

There is a need to measure both the actual delay to train service and the impacts of train delays on customers. Too much emphasis on the measurement of train service production and train service performance can be at the expense of other elements of service quality and the actual customer experience. One achievable approach is to use headway-based measurements, which reflect the waiting time for customers on platforms. Another is to weight delay measurements by the number of customers on the train at the time.

There is a clear trend towards more customer-focused measures, which are more difficult to measure but better reflect the actual customer experience. This trend is being driven primarily by technology, such as modern signalling/train control systems and smartcards (i.e. tap-in / tap-out systems). These new data sources are making it easier for metros to collect the data required for more customer-focused metrics.