Quantification of urban mitigation potentials - coping with data heterogeneity

Reitemeyer, Fabian; Fritz, David; Jacobi, Nikolai; Díaz-Bone, León; Mariño Viteri, Carla; Kropp, Jürgen P.

doi:10.1016/j.heliyon.2023.e16733

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Quantification of urban mitigation potentials - coping with data heterogeneity

Authors

/persons/resource/fabian.reitemeyer

Reitemeyer, Fabian
Potsdam Institute for Climate Impact Research;

Fritz, David
External Organizations;

Jacobi, Nikolai
External Organizations;

Díaz-Bone, León
External Organizations;

Mariño Viteri, Carla
External Organizations;

/persons/resource/Juergen.Kropp

Kropp, Jürgen P.
Potsdam Institute for Climate Impact Research;

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フルテキスト (公開)

28429oa.pdf
(出版社版), 985KB

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引用

Reitemeyer, F., Fritz, D., Jacobi, N., Díaz-Bone, L., Mariño Viteri, C., & Kropp, J. P. (2023). Quantification of urban mitigation potentials - coping with data heterogeneity. Heliyon, 9(6):. doi:10.1016/j.heliyon.2023.e16733.

引用: https://publications.pik-potsdam.de/pubman/item/item_28429

要旨

Cities are at the forefront of European and international climate action. However, in many cities, the ever-growing urban population is putting pressure on settlement and infrastructure development, increasing attention to urban planning, infrastructure and buildings. This paper introduces a set of quantification approaches, capturing impacts of urban planning measures in three fields of action: sustainable building, transport and redensification. The quantification approaches have been developed to account for different levels of data availability, thus providing users with quantification approaches that are applicable across cities. The mitigation potentials of various measures such as a modal shift, the substitution of building materials with wood, and different redensification scenarios were calculated. The substitution of conventional building materials with wood was analyzed as having a high mitigation potential. Building construction, in combination with urban planning and design, are key drivers for mitigating climate change in cities. Given the data heterogeneity among cities, mixed quantification approaches could be defined and the measures and policy areas with the greatest climate mitigation potential identified.