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An Agent-based Simulation of Household Heating Adoption: Integrating Bayesian Belief Updating

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Abstract

This paper presents an agent-based model to simulate household decisions transitioning from gas-reliant heating. Households consider three options: installing a gas-free heat pump, adopting district, or doing nothing. The model integrates the Theory of Planned Behavior and Bayesian updating of household beliefs about technology performance, cost-effectiveness, and reliability. It also accommodates four decision-making styles—rational, satisficing, social, and conservative—that govern how households interpret information and manage risk. Results reveal how these styles, social influence, and belief updates drive adoption patterns and transition speed. Insights support targeted policies and interventions to accelerate the shift to sustainable heating technologies.

Original languageEnglish
Title of host publicationProceedings of the 2025 European Conference on Computing in Construction and 42nd International CIB W78 Conference on Information Technology in Construction, 2025
EditorsEkaterina Petrova, Marijana Srećković, Pedro Meda, Ranjith K. Soman, Jakob Beetz, Jenn McArthur, Daniel Hall
PublisherEuropean Council on Computing in Construction (EC3)
Number of pages7
ISBN (Electronic)978-9-083451-31-2
DOIs
Publication statusPublished - 2025
EventEuropean Conference on Computing in Construction, EC3 2025 and 42nd International CIB W78 Conference on IT in Construction, 2025 - Porto, Portugal
Duration: 14 Jul 202517 Jul 2025

Conference

ConferenceEuropean Conference on Computing in Construction, EC3 2025 and 42nd International CIB W78 Conference on IT in Construction, 2025
Country/TerritoryPortugal
CityPorto
Period14/07/2517/07/25

Bibliographical note

Publisher Copyright:
© 2025, European Council on Computing in Construction (EC3). All rights reserved.

Keywords

  • Agent-based modeling
  • Bayesian updating
  • decision-making
  • technology adoption

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