NEWS & EVENTS

IUK: Analysis of the IUK National Infrastructure Pipeline

May 12, 2016

In 2015, we used NISMOD to assess the IUK National Infrastructure Pipeline, which consists of around 550 infrastructure projects with a budget of £438 billion for the next decade. We applied the NISMOD-LP model to analyse the sensitivity of the proposed IUK National Infrastructure Pipeline to various future socio-economic and climate change scenarios. The primary aim of the collaboration was to analyse IUK’s pipeline of infrastructure investments and explore alternative longer-term strategies. The study focused on energy, transport and water sectors, which represent over 90% of the overall investment. A report describing the methodology and analysis is available to download.

 

LATEST NEWS

DAFNI’s Official Launch:  Bridging the physical divide with digital

DAFNI’s Official Launch: Bridging the physical divide with digital

“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

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

Predicting infrastructure demand using satellite imagery and machine learning

Predicting infrastructure demand using satellite imagery and machine learning

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

RESEARCH THEMES

ENERGY
TRANSPORT
WATER
DIGITAL COMMUNICATIONS
DEMOGRAPHICS
URBAN DEVELOPMENT
ECONOMICS
INFRASTRUCTURE
GOVERNANCE
NISMOD
RISK AND
RESILIENCE
RESEARCH SOFTWARE ENGINEERING
DATABASES