scholarly journals Does Distributive Justice Improve Welfare Outcomes in Climate Adaptation? An Exploration Using an Agent-Based Model of a Stylized Social–Environmental System

2021 ◽  
Vol 13 (22) ◽  
pp. 12648
Author(s):  
Aashis Joshi ◽  
Emile Chappin ◽  
Neelke Doorn

Scholars increasingly propose distributive justice as a means to foster effective and fair outcomes in climate adaptation. To advance the discussion on its place in climate policy, it is desirable to be able to quantitatively assess the effects of different principles of distribution on the well-being of unequally vulnerable individuals and groups. Here, we present an agent-based model of a stylized social–environmental system subject to an external stress such as a climate change impact, in which individuals with unequal access to resources attempt to fulfil an essential need through resource consumption. This causes environmental damage, and a balance must be found between the processes of resource consumption and environmental degradation to achieve well-being for people and stability for the environment. We operationalize different principles for redistributing resource access as interaction rules in the model and compare their tendency to allow such a balance to emerge. Our results indicate that while outcome patterns and effectiveness may vary among principles, redistribution generally improves well-being and system stability. We discuss some implications of our findings as they pertain to addressing the climate crisis and end by outlining the next steps for the research.

Author(s):  
Giovanna Sissa ◽  
Ernesto Damiani

This chapter discusses the effects of social interaction on collective behavior regarding the reduction of limited-resource consumption. Our working hypothesis is that key societal and psychological mechanisms leading to sustainable lifestyles can be enabled by ICT tools. We envision tools supporting social norms, i.e. rules governing an individual's by social sanctions that encourage sustainable behavior on the part of user and consumers. As enabling technology we identify smart metering systems that allows users to compare their consumption patterns with the ones of other consumers, as well as to dynamically re-define and share their personal reduction goals. We present an Agent-Based Model (ABM) to explore the role of awareness in the consumption of a scarce resource. Our agents represent households that use a resource – e.g. energy or water – whose consumption has to be reduced. Agents influence each other; such influence improves their awareness that, in turn, impacts on resource consumption.


2021 ◽  
Author(s):  
Jonatan Almagor ◽  
Anne Martin ◽  
Paul McCrorie ◽  
Rich Mitchell

Abstract Insufficient physical activity (PA) among most children and adolescents is a global problem that is undermining the realisation of numerous developmental and health benefits. The aim of this study was to explore the potential impact of interventions on PA by using an agent-based model (ABM) simulating children’s daily activities in an urban environment. Three domains for interventions were explored: outdoor play, school physical education and active travel. Interventions increased children’s average daily moderate-to-vigorous PA by 2-13 min and reduced the percentage of children not meeting PA guidelines, from 34% to 10%-29%, depending on the intervention. Promotion of active travel and outdoor play benefited more those in a higher socio-economic position. Agents’ interactions suggested that: encouraging activity in diverse groups will reduce percentage of the least active in the population; and initiating outdoor events in neighbourhoods can generate an enhancing effect on children’s engagement in PA. The ABM provided measurable outcomes for interventions that are difficult to estimate using reductionist methods. We suggest that ABMs should be used more commonly to explore the complexity of the social-environmental PA system.


2001 ◽  
Author(s):  
Minoru Tabata ◽  
Akira Ide ◽  
Nobuoki Eshima ◽  
Kyushu Takagi ◽  
Yasuhiro Takei ◽  
...  

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