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We have 11 city planning PhD Projects, Programmes & Scholarships

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city planning PhD Projects, Programmes & Scholarships

We have 11 city planning PhD Projects, Programmes & Scholarships

AI Driven Urban Planning for Clean, Sustainable, Inclusive, and Efficient Cities

Summary. This project is under the Edinburgh Earth, Ecology and Environment Doctoral Training Partnership (E4 DTP). E4 DTP, led by the School of GeoSciences at the University of Edinburgh, is funded by the Natural Environment Research Council to recruit and train 5 cohorts of PhD students annually between 2019 and 2023. Read more

AI-Driven Digital Cities for Crime Modeling and Economic Analysis

AI-Driven Digital Cities for Crime Modeling and Economic Analysis. Project description. The project aims to develop a methodology for designing AI-driven digital twins of real cities. Read more

Identification of tree species based on UAV captured images

Computer Computer vision technology has been found to be an important application in remotely sensed data understanding. This research exploits high‐resolution images captured by UAV payload cameras to identify tree species. Read more

Sustainable Urban Regeneration and Development in the Global South: the tourism and liveability couplet (Ref: RDF24/BL/EIS/MORDUE)

Drawing on concepts of ‘livability’ developed in urban studies, tourism geographies, and sustainable development studies, this research investigates state-led greenspace provision as a mechanism to boost city quality of life in a developing country context, namely. Read more

Developing the next generation of pedestrian behaviour models for revival of high streets and sustainable transport [Self-Funded Students Only]

  Research Group: Data and Knowledge Engineering
Modelling the behaviour of pedestrians in city centres is of practical importance not only for sustainable transport (reducing reliance on motor vehicles addresses issues of carbon emissions, congestion and health) but also can help inform planning for town centres in a post-COVID world. Read more
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