Please note – this seminar has now passed.
Presentations are available to download at the links below.
Presentation 1: Project Update – Low Carbon Cities: creating a road map for retrofitting the Leeds social housing stock
By: Natalie Nelissen
Abstract: In response to the climate emergency, Leeds has committed to becoming carbon neutral by 2030. Since domestic energy use accounts for 14% of greenhouse gas emissions, one important action point is to retrofit existing houses to become more energy efficient and/or use renewable energy.
In collaboration with the Leeds City Council Housing Team, we are developing a model to help the Council create a road map for retrofitting their social housing stock. The model includes various scenarios, ranging from business as usual to deep retrofit strategies, and their associated costs and benefits. An important aspect is to produce a tool that is easy to use and adapt as new information becomes available.
Presentation 2: Project Update – Where do we risk marginalising those with social vulnerabilities with a blanket transport emissions policy?
By: Claire Shadbolt
Abstract: There is an urgent need to decarbonise the transport sector by locating where people can reduce their transport emissions and the demand for transport. While effort has been made to promote low-emission travel, like electric vehicles and active transport, current research has ignored the vulnerabilities that might occur through such initiatives. Individuals have different capabilities in terms of adapting to a new transport mode. Hence, a blanket policy, for example, a fuel tax or a congestion charge, might not have equal levels of success across a population due to these differences. Therefore the inequalities and vulnerabilities that might arise through transport emission reduction policies must be evaluated and understood to identify an equitable solution.
In the project about which I’ll be speaking today, an individual and a household level spatial microsimulation is being constructed using travel behaviour and health datasets. It will describe the spatial patterns of the capability of individuals and households to lower their transport emissions and access the effect a policy might have on a population in a small area. As a result of this small population simulation, policymakers who are interested in decarbonising the transport sector will have greater insights into how to accomplish this in an equitable way.
Presentation 3: Project Update – Linking pollution and lifestyle factors in Leeds and modelling their affect on Chronic Obstructive Pulmonary Disease (COPD) outcomes
By: Vijay Kumar
Abstract: Pollution and lifestyle are known factors that can massively affect an individual’s health and wellbeing. Data collection in these areas can be a mixture of spatially sparse, temporal and static. The project I will be discussing aims to work with real data about air quality, exercise habits and COPD hospital admissions and create new statistical models to link these. The motivation behind this is to gain a deeper insight into the public health risks these variables can cause. The current work presented will look at integrating these heterogeneous datasets and building models linking COPD with the integrated set of variables. In addition to standard models this project will use newly developed functional models for a deeper analysis.