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FEATURE: DAVID TAYLOR


Cannon Street Max Q Size (ppl)


Max Waiting Time (min)


Charing Cross Max Q Size (ppl)


Max Waiting Time (min)


900 25


Bank Max Q Size (ppl) Max Waiting Time (min)


500 15


150 5


Extract from the multi- station model for events in Greenwich Park


Waterloo East Max Q Size (ppl)


Max Waiting Time (min)


250 10


London Bridge Max Q Size (ppl)


Max Waiting Time (min)


Maze Hill Greenwich


50 5


Greenwich Park


Blackheath


discussions – providing the evidence base and focus to support collective decisions across organisations.


I would expect the end of this stage to represent at least 80% of the solution – and for most stations, sufficiently robust analysis will have been done. This allows planning for details such as staffing, signage and barriers to be organised in good time.


Simulation and Real-World Testing


For the most complex or critical stations, simulation models can provide more sophisticated analysis and assurance. The coming together of different pedestrian flows can be assessed within a plan of the space, with emergent outcomes such as congestion and queuing. Videos, including in 3D, can powerfully communicate the situation to high-level decision makers, and to staff for training.


Although these models are powerful, care should be taken to remember that they are based on forecast demand and other parameters and inputs, around which may be some variance or risk. I have often seen them presented as the single ‘truth’ based on inputs that have not been substantiated. Real-world experience of events and spectator behaviour, as well as practical station operations, is needed to create good models and interpret the results with the right degree of scepticism.


A live test is the final ‘simulation’ option. Whether restricting usual people flows, or using volunteers in more expensive exercises, sometimes a live test is the only


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During London 2012, a dedicated ‘Analytics’ team brought together and analysed data – including mobile phone tracking – to provide evidence and insights to senior managers, staff on the ground, and even press offi cers.


way to deal with exceptional complexity or risk. Testing access to the Javelin service at St Pancras is an example of the potential value: the operational plan to pre-load the platforms with known volumes of people was essential to the success of the Javelin. Observation of the behaviour of groups, the walk speeds of people in the context of an event and the detailed way in which they navigate the space, all helped refine the operational plan in a way not possible using computer models.


Operational support: live monitoring and analytics


The final stage – and a clear lesson from the Games – is the live monitoring of crowds. This is particularly valuable for multi-day events such as the Olympics, or for annual


or regular events, when observation during an event can help adjust the forecast demand and expected operation for the next day or year in the light of actual outcomes.


During London 2012, a dedicated ‘Analytics’ team brought together and analysed data – including mobile phone tracking – to provide evidence and insights to senior managers, staff on the ground, and even press officers. The tracking of mobiles was an innovative source of incredibly rich real-time information based on the actual travel patterns of individual (but anonymous) spectators – a topic that deserves its own discussion.


The Analytics team was widely recognised as providing valuable operational information across the network and for the Games organisers, as well as supporting communication to spectators, Londoners and the media. A similar approach was used during the Queen’s Diamond Jubilee and future opportunities are being explored as part of the Games’ Legacy.


Summary


Rail transport was a headline safety and reputational risk going into London 2012. The years of investment and planning made sure that the headlines were good news. In my view, the approach I’ve outlined was a key part of this success, supporting stakeholders with the evidence and responsive analysis to help create station overlay plans that not only worked, but worked well, with enhanced reputation for the event organisers and transport providers alike.


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