Abstract
Housing plays a crucial role in the transition towards sustainability. Zero-energy or low-carbon housing solutions are key, but their success depends on their acceptance by the users. We propose a conceptual and an operational framework for understanding households’ residential choices as a base for an agent-based model, using the tenant as basic unit to populate it. We firstly conceptualise the decision-making process of tenants as a system. Secondly, we cluster the synthetic agents populating the model into typologies of dwellings and tenants. Thirdly, we display their actions in the action arena, and set-up the test runs. Lastly, we introduce the next steps to follow for the simulation of the bottom-up effects on housing sustainability.
Highlights
The residential sector represents a fourth of the CO2 emissions from fossil fuels in Switzerland [1], and 20% of the energy end use in the world [2]
We propose a conceptual and an operational framework for understanding households’ residential choices as a base for an agent-based model, using the tenant as basic unit to populate it
We will administer a survey to the households of the 10,000 dwellings belonging to our partners, with the goal to quantify the determinants of the residential mobility and refine the typologies proposed
Summary
The residential sector represents a fourth of the CO2 emissions from fossil fuels in Switzerland [1], and 20% of the energy end use in the world [2]. It has been shown that technical solutions (e.g. improvement in buildings’ energy-efficiency) play an important role, but are not sufficient to achieve the transition [3] The success of these technical solutions depends on how they can be reconciled with the present and future needs of households. The driving factors determining households’ residential mobility and location choices have been studied in the literature by a multitude of disciplines, but their analysis lacks a systemic approach. Such an approach permits to conceptualize the decision-making process of the tenants. The operating rules of the agents (or tenants) and their implementation are represented in conceptual and operational frameworks respectively
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