Colouring Loughborough is co-developed with The Alan Turing Institute to showcase building and urban characteristics, such as land use, size, typology, resilience, planning controls, and heritage information, such as the age of building stock.
Team
Dr Taimaz Larimian (Principal Investigator)
Mihyun Kim (Research Officer)
Projects
+ + +
Loughborough in Motion presents information on Loughborough’s town centre through full-motion video (FMV) capability, designed to depict dynamic data such as footfall, pedestrian, and vehicle movement in a geospatial context.
Team
Dr Asya Natapov (Principal Investigator)
Dr Mohammad Forghani (Research Associate)
Mohamed Mahmoud (Doctoral Researcher)
Projects
Exploring Urban Heritage Storytelling in digital urban observatories through international collaboration and knowledge exchange
Towards Pedestrian-Friendly Cities: Employing Geospatial Artificial Intelligence for Urban Planning.
+ + +
Loughborough Stories is a web-based application that combines stories, maps, videos and images created, curated and authored by those with something to say about the town’s urban heritage and public spaces.
Team
Dr Robert Harland (Principal Investigator)
Dr Aline Fernandes Barata (Research Associate)
Dr Cristina A. G. Kiminami (Research Associate)
Pegah Aftabi (Doctoral Researcher)
Projects
Loughborough Observatory for the Visualisation of the Natural and Built Environment (LOVE)
Illuminating Loughborough
Arriving and Thriving in Loughborough: Belonging and Community
Building Loughborough’s Memory Box
Exploring Urban Heritage Storytelling in digital urban observatories through international collaboration and knowledge exchange
Co-creating Urban Heritage Narratives: Mapping Community-led Heritage through Digital Urban Observatories
Heritage Mapping
+ + +
Chat Loughborough is a pioneering platform developed as part of the TraffEase AI initiative. The platform uses artificial intelligence text communication to predict pedestrian movement and footfall in the town.
Team
Dr Haitao He (Lead Investigator)
Dr Hui Fang (Co-lead Investigator)
Project