Taken from ‘Towards urban analytics 2.0’
Lightning talk: Identifying Tree Preservation Order (TPO) by multi-source deep learning in Greater London area
Speaker: Qunshan Zhao, University of Glasgow
Tree Preservation Order (TPO) is used to protect specific trees from damage and destruction. The current criteria and process of determining a TPO are vague and subjective. TPO data in many London boroughs are missing or stored in hard-to-access paper format, with a lengthy application process. It is a barrier for both urban development/regeneration, as well as environmental protection. This research analyzed TPO data in Greater London and developed a multi-source deep learning model to identify TPOs in areas without publicly accessible TPO data. The multi-source deep learning method is more efficient and accurate than traditional GIS or surveying methods.
The urban analytics programme is pleased to host its first hybrid event. The event will be the programmes first in-person at scale event since October 2019.
About the event
The event will be split over two days, with a different focus for each. Day one will feature talks and networking sessions, offering the opportunity to catch up on recent research from across the community, and hear the latest thoughts of some leading thinkers in the field. There will be two keynote talks from Vanessa Lawrence and Seth Spielman.
Day two will see a series of breakout sessions, with participants working on a vision of the future of urban analytics – or ‘urban analytics 2.0’ – in light of recent developments such as the government’s National AI Strategy and the Turing’s move towards ‘Turing 2.0’.
Participation is welcomed from all members of the Turing’s urban analytics community, on either or both days of the event.
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