Project title: Analysing population and societal response to natural hazards
Director of Studies: Dr
2nd Supervisor: Professor Ralph Fyfe
3rd Supervisor: Professor Iain Stewart
Applications are invited for a three-year PhD studentship. The studentship will start on 1 October 2018.
Social media feeds such
as Twitter have been proposed as ‘distributed sensor systems’ (Crooks et al. 2012). This tool has the
potential to help determine perceived risk, hazard footprint and temporal
characteristics from extreme events. Near real-time and big data feeds have a
powerful potential to provide a greater understanding of the spatiotemporal
impact of hazards on humans. This project will utilise spatiotemporal
population estimates and big data feeds (e.g. Twitter) to monitor human
responses to selected large-scale sudden onset events such as earthquakes or
major flooding. Such data may also have applications beyond this immediate
field to other areas within geography or the social sciences.
Assessing human exposure and vulnerability are important factors for disaster risk management and reduction. Spatiotemporal changes in human populations across hourly, daily and seasonal cyclical periods mean that exposure to natural hazards constantly fluctuates (Smith et al. 2016). Low frequency, high magnitude as well as sudden onset events such as earthquakes and some types of flood risk. This project would suit a candidate with a background in geography and GIS or aligned subjects. Programming skills are not essential as training can be provided but would be complimentary. Informal enquiries are welcome.
Crooks, Andrew, et al. # Earthquake: Twitter as a distributed sensor system. Transactions in GIS 17.1 (2013): 124-147.
Smith A, Martin D & Cockings S 2016 'Spatio-Temporal Population Modelling for Enhanced Assessment of Urban Exposure to Flood Risk' Applied Spatial Analysis and Policy 9, (2) 145-163