Sustainable City Planning: A Data-Driven Approach for Mitigating Urban Heat

Frontiers in Built Environment

Andrew MacLachlan¹  Eloise Biggs²  Gareth Roberts³  Bryan Boruff⁴ 

[1] Centre for Advanced Spatial Analysis (CASA), University College London, London, United Kingdom;Geography and Environment, The University of Southampton, Southampton, United Kingdom;UWA School of Agriculture and Environment, The University of Western Australia, Crawley, WA, Australia;Department of Geography and Planning, The University of Western Australia, Crawley, WA, Australia;Geography and Environment, The University of Southampton, Southampton, United Kingdom;UWA School of Agriculture and Environment, The University of Western Australia, Crawley, WA, Australia;

关键词: sustainable development;    urban heat island;    earth observation;    smart cities;    applied spatial analysis;    data visualization;    city science;    urban planning;   

DOI  :  10.3389/fbuil.2020.519599

来源: Frontiers

【 摘 要 】

Urban areas are expected to triple by 2030 in order to accommodate 60% of the global population. Anthropogenic landscape modifications expand coverage of impervious surfaces inducing the urban heat island (UHI) effect, a critical twenty first century challenge associated with increased economic expenditure, energy consumption, and adverse health impacts. Yet, omission of UHI measures from global climate models and metropolitan planning methodologies precludes effective sustainable development governance. We present an approach that integrates Earth observation and climate data with three-dimensional urban models to determine optimal tree placement (per square meter) within proposed urban developments to enable more effective localized UHI mitigation. Such data-driven planning decisions will enhance the future sustainability of our cities to align with current global urban development agendas.

【 授权许可】

CC BY