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

Andrew MacLachlan; Eloise Biggs; Gareth Roberts; Bryan Boruff

doi:10.3389/fbuil.2020.519599

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

Andrew MacLachlan, Eloise Biggs, Gareth Roberts, Bryan Boruff

Research output: Contribution to journal › Article › peer-review

15 Citations (Scopus)

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.

Original language	English
Article number	519599
Journal	Frontiers in Built Environment
Volume	6
DOIs	https://doi.org/10.3389/fbuil.2020.519599
Publication status	Published - 26 Jan 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.3389/fbuil.2020.519599Licence: CC BY

Cite this

@article{a9557bd1b47b46e9895b2ffd297d0a7b,

title = "Sustainable City Planning: A Data-Driven Approach for Mitigating Urban Heat",

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.",

keywords = "applied spatial analysis, city science, data visualization, earth observation, smart cities, sustainable development, urban heat island, urban planning",

author = "Andrew MacLachlan and Eloise Biggs and Gareth Roberts and Bryan Boruff",

year = "2021",

month = jan,

day = "26",

doi = "10.3389/fbuil.2020.519599",

language = "English",

volume = "6",

journal = "Frontiers in Built Environment",

issn = "2297-3362",

publisher = "Frontiers Media SA",

}

TY - JOUR

T1 - Sustainable City Planning

T2 - A Data-Driven Approach for Mitigating Urban Heat

AU - MacLachlan, Andrew

AU - Biggs, Eloise

AU - Roberts, Gareth

AU - Boruff, Bryan

PY - 2021/1/26

Y1 - 2021/1/26

N2 - 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.

AB - 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.

KW - applied spatial analysis

KW - city science

KW - data visualization

KW - earth observation

KW - smart cities

KW - sustainable development

KW - urban heat island

KW - urban planning

UR - http://www.scopus.com/inward/record.url?scp=85100704833&partnerID=8YFLogxK

U2 - 10.3389/fbuil.2020.519599

DO - 10.3389/fbuil.2020.519599

M3 - Article

AN - SCOPUS:85100704833

SN - 2297-3362

VL - 6

JO - Frontiers in Built Environment

JF - Frontiers in Built Environment

M1 - 519599

ER -

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

Abstract

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this