With input from Network Rail, we assembled a range of datasets to build a picture of interdependent railway infrastructure and its vulnerabilities. We focused on the failure of support systems such as signalling and monitoring, electrification, heating, lighting etc. that lead to disruption across the railway. These were quantified by passenger trip disruptions across the entire network. Our work included testing multiple failure scenarios from random shock and extreme flood events in order to understand the risks to, and resilience of, GB’s railway network.
NEWS & EVENTS
Network Rail: network vulnerabilities
“Following 4 years of intensive development, we are excited to have this opportunity to formally release the production version of the DAFNI platform and invite all to really start to use ... read more
Dr Edward Oughton awarded Runner Up in prestigious Lloyd’s 2021 Science of Risk awards (Cyber category) 2021
The prize was for Dr Oughton’s research quantifying the vulnerability of electricity networks from cyberattacks. The prestigious Lloyd’s Science of Risk prizes are awarded to esteemed ... read more
A lack of available demand data can hinder infrastructure assessment. To better identify the ‘digital divide’ in telecoms demand, it is possible to predict cell phone adoption and spending using read more