Resilience of human settlements to climate change needs the convergence of urban planning and urban climate science

Xinyue Ye , Dev Niyogi

Computational Urban Science ›› 2022, Vol. 2 ›› Issue (1) : 6

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Computational Urban Science ›› 2022, Vol. 2 ›› Issue (1) : 6 DOI: 10.1007/s43762-022-00035-0
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Resilience of human settlements to climate change needs the convergence of urban planning and urban climate science

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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.

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Xinyue Ye, Dev Niyogi. Resilience of human settlements to climate change needs the convergence of urban planning and urban climate science. Computational Urban Science, 2022, 2(1): 6 DOI:10.1007/s43762-022-00035-0

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