TY - JOUR
T1 - Resilience of human settlements to climate change needs the convergence of urban planning and urban climate science
AU - Ye, Xinyue
AU - Niyogi, Dev
N1 - Funding Information:
XY and DN acknowledge support from NSF OAC-1835739 and SMA-2122054, NASA Interdisciplinary Sciences 80NSSC20K1262 and 80NSSC20K1268, University of Texas John E. “Brick” Elliott Centennial Endowed Professorship, Texas A&M University Harold L. Adams Interdisciplinary Professorship Research Fund.
Funding Information:
NSF OAC-1835739 and SMA-2122054, NASA Interdisciplinary Sciences 80NSSC20K1262 and 80NSSC20K1268, University of Texas John E. “Brick” Elliott Centennial Endowed Professorship, Texas A&M University Harold L. Adams Interdisciplinary Professorship Research Fund.
Publisher Copyright:
© 2022, The Author(s).
PY - 2022/12
Y1 - 2022/12
N2 - The impact of climate extremes upon human settlements is expected to accelerate. There are distinct global trends for a continued rise in urban dwellers and associated infrastructure. This growth is occurring amidst the increasing risk of extreme heat, rainfall, and flooding. Therefore, it is critical that the urban development and architectural communities recognize climate impacts are expected to be experienced globally, but the cities and urban regions they help create are far more vulnerable to these extremes than nonurban regions. Designing resilient human settlements responding to climate change needs an integrated framework. The critical elements at play are climate extremes, economic growth, human mobility, and livability. Heightened public awareness of extreme weather crises and demands for a more moral climate landscape has promoted the discussion of urban climate change ethics. With the growing urgency for considering environmental justice, we need to consider a transparent, data-driven geospatial design approach that strives to balance environmental justice, climate, and economic development needs. Communities can greatly manage their vulnerabilities under climate extremes and enhance their resilience through appropriate design and planning towards long-term stability. A holistic picture of urban climate science is thus needed to be adopted by urban designers and planners as a principle to guide urban development strategy and environmental regulation in the context of a growingly interdependent world.
AB - The impact of climate extremes upon human settlements is expected to accelerate. There are distinct global trends for a continued rise in urban dwellers and associated infrastructure. This growth is occurring amidst the increasing risk of extreme heat, rainfall, and flooding. Therefore, it is critical that the urban development and architectural communities recognize climate impacts are expected to be experienced globally, but the cities and urban regions they help create are far more vulnerable to these extremes than nonurban regions. Designing resilient human settlements responding to climate change needs an integrated framework. The critical elements at play are climate extremes, economic growth, human mobility, and livability. Heightened public awareness of extreme weather crises and demands for a more moral climate landscape has promoted the discussion of urban climate change ethics. With the growing urgency for considering environmental justice, we need to consider a transparent, data-driven geospatial design approach that strives to balance environmental justice, climate, and economic development needs. Communities can greatly manage their vulnerabilities under climate extremes and enhance their resilience through appropriate design and planning towards long-term stability. A holistic picture of urban climate science is thus needed to be adopted by urban designers and planners as a principle to guide urban development strategy and environmental regulation in the context of a growingly interdependent world.
KW - Climate change
KW - Convergence
KW - Geospatial design
KW - Resilience
KW - Urban climate science
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U2 - 10.1007/s43762-022-00035-0
DO - 10.1007/s43762-022-00035-0
M3 - Article
AN - SCOPUS:85132845343
SN - 2730-6852
VL - 2
JO - Computational Urban Science
JF - Computational Urban Science
IS - 1
M1 - 6
ER -