Gerry Casey

I'm interested in evidence based decision making and modelling for enlightenment, not post-justification. I mostly work on city scale simulations, for both hard infrastructure scenario testing (e.g. new metro systems) and soft policy testing (e.g. road pricing). This involves research into synthetic populations, location device inference, activity based modelling and large scale graph computations (to reduce computational run times) for fine resolution simulations.

Some published work:

• Investigating the performance of transport infrastructure using real-time data and a scalable multi-modal agent based model
• Agent-based model for city scale traffic simulation: a case study on San Francisco
• Greenhouse gas considerations in rail infrastructure in the UK
• A scalable agent based multi-modal modeling framework using real-time big-data sources for cities
• Briefing: High-performance computing for city-scale modelling and simulations
• Re-thinking UK transport emissions–getting to the 2050 targets
• Understanding traveller decision making-A crowd sourced big data analysis of the London Travel Demand Survey
• Capital & Operational Carbon–an assessment of the permanent dewatering solution at Stratford International Station

About me:

• PhD - Engineering, University of Cambridge
• MPhil - Engineering for Sustainable Development, University of Cambridge
• BEng - Civil Engineering, Queen's University of Belfast