An INTEgrated stReet tree VALuation-based solution for minimizing the uneven street tree distribution in cities
Project concept:
INTERVAL is an INTEgrated stReet tree VALuation based solution for minimising the uneven street tree distribution in cities. This research aims to develop a decision support system to increase the street tree density in Dublin City to promote climate neutrality and minimise environmental injustice that originates due to the inequality of street tree distribution.
Engagement of local communities to co-create knowledge to increase awareness of ecosystem services
Data-driven street tree inventory: pilot case studies, quantitative methods, machine learning and deep learning tree density analysis
Ecosystem services database provided by the most common street tree species to present the vital role street trees play in the city
Prioritised areas identification that would benefit most from increased tree canopy coverage
Decision support platform co-design: an integrated web-based interface for spatial street tree ecosystem service analytics
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