Rapid urbanisation creates trade-offs between
development, food security and poverty alleviation
goals which are often ignored or invisible. Revealing
and communicating the nature and scale of these
trade-offs to policymakers is a key step towards
around urban sustainability and resilience.
Our project applies deep learning techniques to map
peri-urban agriculture in Wuhan, China and explores
ways of integrating multiple types of data through a
web-based mapping and visualisation tool to support
research and stakeholder engagement on urban
sustainability policy. This is a cross-departmental
project involving the Science Policy Research Unit
(SPRU) at the University of Sussex.
Funded by Sussex Sustainability Research Programme: 1
April 2017 - 30 September 2018; British Academy: 18
November 2019 - 17 November 2021 (£244,847).