Multi-scale multi-domain geospatial data modelling

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This PhD is funded by the Engineering and Physical Sciences Research Council of Great Britain under EPSRC grant number EP/S023577/1, and Ordnance Survey of Great Britain. This topic aims to link different spatial domains of interest such as transport, water, environment, and society and thereby enable cross-domain and cross-scale analytics and simulation. The aim is to develop a geospatial data infrastructure and data model for a unified incident response system. In line with the United Nations Sustainable Development Goal 11 to make cities inclusive, safe, resilient, and sustainable, cities and the environment need to be equipped with the ability to better respond to and be prepared for unforeseen events. Using Internet of Things (IoT) and sensors deployed in a smart environment, this PhD will explore how to transform raw data into intelligence, support stakeholders in real-time response and improve resilience. A use case is developed including incident types from different domains, such as flooding, traffic incidents or utility failures that can cause a disruption across different systems, trigger an alarm, and require actions along the response chain involving different stakeholders. Therefore, this PhD aims to use cloud computing capabilities and spatial big data analytics to process the vast amounts of geospatial data collected by sensors, CCTV data feeds and social media transmitted as data feeds. By integrating knowledge from different stakeholders into a common ontology, this PhD will contribute to a better understanding of the requirements for future data models for incident response.