Student Name: Claude Lynch

Centre for Advanced Spatial Analysis, UCL
UBEL Pathway: Urban Studies, Transport and Architectural Space
Supervisor: Prof Adam Dennett
Twitter: @edmund__hyde
Contact details: claude.lynch.15@ucl.ac.uk
About Me:

I am a PhD student at the Centre of Advanced Spatial Analysis at UCL. I also studied here for my undergraduate in European Social and Political Studies. In between, I spent two years as a civil servant and studied for an MA in Critical Theory at King’s. My main research interests are in digital geography, transport planning and theories of space & place. I also bake a mean babka.

My Research:

 

As a society, we seem to have moved towards the joint understanding that decarbonisation is a present and pressing policy objective. Transport produced 24% of the UK’s greenhouse gas emissions in 2020 – the largest emitting sector. Despite this, there is a lack of overlap between decarbonisation outcomes and socioeconomic outcomes; one is rarely measured at the same time as the other. My PhD therefore asks: what are the social and spatial equity impacts of a transition towards net-zero transportation in the UK? Looking specifically at the East of England, my research uses the tools from the Arup City Modelling Lab to evaluate the best metrics for measuring socio-economic outcomes of decarbonised transport.

The base is a sophisticated model of transport flows, from Jaywick Sands to the Norfolk Broads; from the Isle of Ely to Dunwich Heath. Within this model, each individual agent has a profile, a set of needs, and a set of attributes. Agent-based scenarios are used to gauge how changes we make in the transport sector can have knock-on effects on individual welfare. East Anglia is a good jumping-off point for this research, given its mixture of rural countryside, smaller towns, and larger urban areas. What we learn from East Anglia, we can apply using the City Modelling Lab nationwide.

Impact of My Research:

The impact of this research sits across multiple sectors. With other things being equal, some parts of the UK are bound to have different experiences of the socio-economic impacts of decarbonisation relative to others – and for successful policy interventions to be made, we need to have a better understanding of how these geographies vary and for which socio-economic dimensions – will this matter more for the distribution and types of jobs that could shift towards more home-working? Are impacts felt more noticeably in areas that already experience good public transit systems vs those which are served poorly. What knock-on effects could these shifts have, for example, in potentially increasing green economy jobs on the coast near offshore windfarms?

This research also enables a transition to modelling for refinement: generating hundreds of scenarios and testing the options that might otherwise be left undeveloped. The metrics developed as part of this project will be used in real policy scenarios, and incorporated into simulation models that are seeing active use, to enable just such a breadth of modelling possible worlds. After all, in real life, we’ve only got one.

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