This project focuses on using a relatively new, simulation-based technique called Agent-Based Modelling (ABM) to model the behaviour of individuals and aggregated agents (e.g. government, regulatory authorities etc.) to gain insights into the higher-order effects.
This PhD project investigates fundamental questions relating to the amount of information, including how and where this should be provided, to produce the onset of behaviours that boost performance and enhance resilience of spatially embedded infrastructure.
This research project aims to assess the resilience of transport systems under the context of changing climate.
The latest report from the Intergovernmental Panel on Climate Change in 2018 highlighted the need for urgent, transformative change, on an unprecedented scale, if global warming is to be restricted to 1.5C. The DecarboN8 project will develop a new network of researchers, working closely with industry and government, capable of designing solutions which can be deployed rapidly and at scale.
This project explores 3 experimental methods to infer and quantify evapotranspiration (ET) from a set of green roof test beds, each with a varied vegetation/substrate combination. The aim of the project is to find suitable techniques that can be reproduced to measure ET in a SuDS (Sustainable Drainage Systems) context within urbanised areas.
This project uses MIDAS road flow counts and speed data to create data-driven traffic assignment models to be applied to national Strategic Road Network for the analysis of flow patterns.
This project analysed the main traffic routes in the Sheffield City Region (SCR) and compared them to the optimal routing of electric vehicles and the decreased volumes expected by the progressive adoption of alternative mobility means (e.g. electric bikes).
This project attempts to further our current ability in identifying long-term land-use and transport planning targets by adapting recently developed models at the interface of complexity science and urban economics.
Our vision is to identify, develop and disseminate new methods to improve the resilience and sustainable long-term performance of complex engineered systems, including Cities and National Infrastructure, ICT and Energy Infrastructure.
Understanding the nuances at play across different spatial scales is of crucial importance when considering urban economic-energetic size-cost performance, specifically when longer-term consequences are considered. Through the application of an allometric understanding of cities, this project offers a more nuanced narrative highlighting the interplay of urban productivity and spatial configurations of human interactions across scales.