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

MacLachlan, A; Biggs, E; Roberts, G; Boruff, B; (2021) Sustainable City Planning: A Data-Driven Approach for Mitigating Urban Heat. Frontiers in Built Environment , 6 , Article 519599. 10.3389/fbuil.2020.519599. Green open access

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Abstract

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.

Type: Article
Title: Sustainable City Planning: A Data-Driven Approach for Mitigating Urban Heat
Open access status: An open access version is available from UCL Discovery
DOI: 10.3389/fbuil.2020.519599
Publisher version: https://doi.org/10.3389/fbuil.2020.519599
Language: English
Additional information: This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Centre for Advanced Spatial Analysis
URI: https://discovery.ucl.ac.uk/id/eprint/10119985
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