Improving knowledge and management of transboundary climate risks at city level; the example of Paris

By og elv

This case study aims to improve understanding of transboundary climate change impacts that may affect the city of Paris, its urban systems and related climate adaptation and resilience capacities.

Case 10

Case content

Transboundary risks may occur at various scales, from global (such as migrations or tourism flows) down to regional (concerning localized systems like river basins regulating freshwater supply).

Exploring a participatory approach, the case study will develop a new type of impact chain that can help the city integrate these indirect risks into their operational risk management system and long-term adaptation and resiliency strategies."

Research Innovations

The research will :

- Expand the logic of Impact Chain by integrating transboundary impacts (RQ5);

- Test new methodological approaches (quantitative/qualitative) within the Impact Chain framework for better integration of the dynamic aspects of transboundary risks (RQ4);

- Explore dispersion of uncertainty within the IC approach (RQ4);

- Include co-design and co-exploration methods for improved adaptation decision-making processes (RQ2);

- Combine socio-economic modeling with the IC approach (RQ3).

Study areas

The City of Paris is investigating transboundary risks at various scales (international, national or regional).

Stakeholders involved

The case study aims to include a wide range of stakeholders including:

- City of Paris representatives: General Delegation for the Ecological Transition and Resilience, Energy Climate & Circular Economy Division, other divisions of interest

- Other stakeholders : regional and national public authorities, NGOs, researchers.

Summary data collection

Mix of quantitative and qualitative data.

Qualitative data will be collected through participatory approaches including interviews and workshops.

Quantative data will be collected from various sources including local databases (APUR, Paris open data etc.), national (INSEE) and international (World bank, OECD, etc.).

Potential to create specific socio-economic modelling will be explored with the project partners.

Expected results

1) Understanding of priority transboundary risks for the city

2) Improved methodology for monitoring this specific type of climate risk

2) Insights on benefits for short and long-term adaptation decision-making processes at urban scale

Case study responsible