Models, Metrics and Typologies of Resilient Cities (AXA Awards Research Fund)

The AXA Research Fund project "Models, Metrics and Typologies of Resilient Cities" undertakes research focusing on (1) Urbanization and urban growth; and (2) Effects of urbanization on urban socio-ecological ecosystems and resilience. Across the globe, the idea of what is urban, and thus urbaneness is under discussion. Related to what is perceived as urban is also the question of where something urban is located. Research undertaken under this topic seeks to investigate and implement new concepts of urbaneness, in particular that of urban land teleconnections. Furthermore, novel indicators for urbaneness shall be identified and tested to develop global and regional maps of urbaneness. Doing so, new assessments of the impacts of urbanization on global resources of land, water, forestry and biodiversity shall be facilitated, thereby shedding light on the actual state of urban sustainability and urban resilience. The services provided to society by nature are important factors of urban resilience. Research undertaken under this topic focuses on increasing urban resilience by investigating the effects of urbanization on a variety of ecosystem services regarding food production, water flow, temperature regulation and recreation. More importantly, potentials shall also be identified by assessing and estimating blue (waters) and green (greenspaces) infrastructure in core cities and their hinterland.

Haase, Dagmar Prof. Dr. (Details) (Landscape Ecology and Biogeography)

Sonstige internationale öffentliche Mittelgeber

Duration of Project
Start date: 09/2015
End date: 06/2018

Research Areas

Research Areas
Klimawandel in Städten, Sozio-ökologische Systeme, Urbanisierung

Scheuer, S., Haase, D., Volk, M., 2016. On the Nexus of the Spatial Dynamics of Global Urbanization and the Age of the City. PLoS ONE 11(8): e0160471.
Scheuer, S., Haase, D., Volk, M., 2017. Integrative assessment of climate change for fast-growing urban areas: Measurement and recommendations for future research. PLoS ONE 12(12): e0189451.
Scheuer, S., Haase, D., Kabisch, N., Wolff, M., Haase, A., Schwarz, N., Großmann, K., 2018. Combining tacit knowledge elicitation with the SilverKnETs tool and random forests - The example of residential housing choices in Leipzig. Environment and Planning B: Urban Analytics and City Science.

Last updated on 2020-14-02 at 14:22