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An agent based model of environmental awareness and limited resource consumption

Published:28 October 2013Publication History

ABSTRACT

An Agent Based Model is proposed to study the individual and collective behavioral changes toward environmental sustainability using ICT-based services. Using ABMs to simulate how environmental awareness spreads is an interdisciplinary issue that involves ICT and energy and environment studies, as well as social and behavioral sciences. Our demonstration will show how the proposed ABM can describe the impact of such awareness on consumption of a limited or critical resource, like energy or water. We will show that there are scenarios that lead to overuse of the resource and scenarios in which this does not happen because sustainable behavior emerges. The key discriminating factor is the collective situational awareness of environmental effects of actions. Such awareness makes "green behavior" easier and can counter possible rebound effects. The demonstration will focus on the role played by smart metering functions.

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        • Published in

          cover image ACM Other conferences
          MEDES '13: Proceedings of the Fifth International Conference on Management of Emergent Digital EcoSystems
          October 2013
          358 pages
          ISBN:9781450320047
          DOI:10.1145/2536146
          • Conference Chairs:
          • Latif Ladid,
          • Antonio Montes,
          • General Chair:
          • Peter A. Bruck,
          • Program Chairs:
          • Fernando Ferri,
          • Richard Chbeir

          Copyright © 2013 Owner/Author

          Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 28 October 2013

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          • research-article

          Acceptance Rates

          MEDES '13 Paper Acceptance Rate56of122submissions,46%Overall Acceptance Rate267of682submissions,39%

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