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Using DMDU methods to explore the lifestyle change uncertainty in

integrated assessment models

Sibel Eker

Climate Interactive and IIASA

12 November 2020

Annual Meeting of the Society for Decision Making under Deep Uncertainty

eker@iiasa.ac.at

seker@climateinteractive.org

@sibel_eker_

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Lifestyle

change

(3)

Sustainable diets

Source: Springmann et al. (2018) Nature

Impacts of reductions in food loss and waste, technological change, and dietary changes on

global environmental pressures in 2050

(4)

How many people does it take…?

80%

of the population

20%

of the population

20%

of the population

80%

of the population

(5)

…integrated assessment models should include social and behavioral

uncertainty for feasible scenarios!

(6)

Modelling behavioral drivers

Behavior (Shift to a vegetarian

diet) Behavioral

Intention

Perceived Behavioral Control (Self-efficacy)

Subjective Norm

Attitude

+ + +

+ +

Perceived Climate

Risk

Climate Events

-

+ +

Descriptive Social Norm

+ +

-

Willingness to change

+

Social transmission

FeliX Model

Perceived Health Risk

+

Average red meat consumption

Source: Eker S, Reese G, Obersteiner M.

(2019) Nature Sustainability.

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Uncertainty

Behavior (Shift to a vegetarian

diet) Behavioral

Intention

Perceived Behavioral

Control (Self-efficacy)

Subjective Norm

Attitude

+ + +

+ +

Perceived Climate

Risk

Climate Events

-

+ +

Descriptive Social Norm

+ +

-

Willingness to change

+

Social transmission

FeliX Model

Perceived Health Risk

+

Average red meat consumption

(8)

Scenario exploration

(9)

Which behavioural factors cause the highest sensitivity?

Which

behavioural factors

cause the highest

sensitivity?

Global Sensitivity Analysis and Sobol Indices

(10)

Which factors are

associated with a wide spread of vegetarians in the global

population?

Scenario discovery using PRIM

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Conclusions

The groups who already have a high tendency, e.g.

young and female, are the low-hanging fruits.

Social norms and self-efficacy (identity) are the most prominent drivers, not the climate or health risk.

The modelling framework is generalizable and transferrable.

DMDU methods help to enhance the feasibility of

mitigation scenarios, and set research priorities

for uncertainties!

Referenzen

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