A historic under-supply of residential accommodation has meant that the UK now finds itself deep within a housing crisis, the results of which include increasing levels of homelessness and soaring house prices.
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.
The importance of improving the energy efficiency of buildings has been recognised as critical to decrease greenhouse gas emissions from building energy production to meet the UK government’s target on net-zero emissions. This PhD aims at developing a hybrid grey-box framework for residential building thermal consumption estimation based on properties’ geometric and thermal characteristics.
The growth of cities simultaneously increases demand for construction material and results in strong inequalities of development. A systematic understanding of the material requirements to improve human living standards may become crucial in evaluating meaningful pathways towards sustainable development.
A historic under-supply of residential accommodation has meant that the UK now finds itself deep within a housing crisis, the results of which include increasing levels of homelessness and soaring house prices.
This research project aims to assess the resilience of transport systems under the context of changing climate.
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.
The aims of this project are to develop models and techniques that will afford significantly improved monitoring and communication of the pollution level in cities without the need to significantly invest in monitoring equipment.
Building geometry is significant in many ways such as the urban building retrofit and building stock analysis. However, the current approaches to collect building geometry data is highly limited to on-site survey or pre-registered data. The project aims to develop a method which utilises computer vision technologies to characterise building geometry data at scale with a high automation level.