Skip to main content

Introducing LCA Results to ABM for Assessing the Influence of Sustainable Behaviours

  • Conference paper
Trends in Practical Applications of Agents, Multi-Agent Systems and Sustainability

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 372))

  • 921 Accesses


The paper is focused on the application of ABM to simulate the evolution of the agricultural system of the Grand Duchy of Luxembourg under the external shock of fostering the production of maize to be used for bio-methane generation. The modeling exercise is part of a larger scale effort, which aims at the evaluation of the potential environmental impacts arising from policy implementation, following the methodology known as Consequential Life Cycle Assessment (CLCA). The application of ABM brings from one side an additional level of complexity to the assessment, but it also allows a finer scale bottom-up modeling, allowing the simulation of aspects (such as behavioral components in farmers’ choices or adaptive social processes such as imitation) that was not possible to grasp from other (e.g. purely economically oriented) modeling perspectives. The ABM model implemented has as many agents as the inventoried farmers in Luxembourg are. Although the paper only presents preliminary results, it already allows exploring the influence of farmers’ environmental awareness on the environmental impacts linked to farming activities. This is possible thanks to the attribution to the agents’ profiles of one specific feature which simulates their “green consciousness level”.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others


  1. Berger, T.: Agent-based spatial models applied to agriculture: a simulation tool for technology diffusion, resource use changes and policy analysis. Agricultural Economics 25, 245–260 (2001)

    Article  Google Scholar 

  2. Berta, F.E., Podestá, G.P., Rovere, S.L., Menéndez, A.N., North, M., Tatarad, E., Laciana, C.E., Weber, E., Toranzo, F.R.: An agent based model to simulate structural and land use changes in agricultural systems of the argentine pampas. Ecological Modelling 222, 3486–3499 (2011)

    Article  Google Scholar 

  3. Cooper, J.S., Fava, J.A.: Life-Cycle Assessment Practitioner Survey: Summary of Results. Journal of Industrial Ecology 10(4), 12–14 (2006)

    Article  Google Scholar 

  4. European Commission: COMMISION REGULATION (EC) No 1242/2008 of 8 December 2008 establishing a Community typology for agricultural holdings. Official Journal of the European Union (December 2008)

    Google Scholar 

  5. Happe, K., Kellermann, K., Balmann, A.: Agent-based analysis of agricultural policies: an illustration of the agricultural policy simulator AgriPoliS, its adaptation, and behavior. Ecology and Society 11(1), 329–342 (2006),

    Google Scholar 

  6. Heijungs, R., Goedkoop, M., Struijs, J., Effting, S., Sevenster, M., Huppes, G.: Towards a life cycle impact assessment method which comprises category indicators at the midpoint and the endpoint level. Report of the first project phase: Design of the new method VROM report (2003),

  7. Howitt, R.: Positive Mathematical Programming. Amer. J. Agr. Econ. 77, 329–342 (1995)

    Article  Google Scholar 

  8. ISO: Environmental management — Life cycle assessment — Principles and framework. ISO 14040:2006, International Organization for Standardization, Geneva, Switzerland (2010)

    Google Scholar 

  9. KTBL: Faustzahlen für die Landwirtschaft (in German). Iso, Kuratorium für Technik und Bauwesen in der Landwirtschaft, Darmstadt, Germany (2006)

    Google Scholar 

  10. Le, Q.B., Park, S.J., Vlek, P.L., Cremers, A.B.: Land-Use Dynamic Simulator (LUDAS): A multi-agent system model for simulating spatio-temporal dynamics of coupled human–landscape system. I. Structure and theoretical specification. Ecological Informatics 5, 203–221 (2010)

    Article  Google Scholar 

  11. Rege, S., Arenz, M., Marvuglia, A., Vázquez-Rowe, I., Benetto, E., Igos, E., Koster, D.: Quantification of agricultural land use changes in consequential Life Cycle Assessment using mathematical programming models following a partial equilibrium approach. Journal of Environmental Informatics (forthcoming)

    Google Scholar 

  12. SER:

  13. STATEC:

  14. Vázquez-Rowe, I., Marvuglia, A., Rege, S., Benetto, E.: Applying consequential LCA to support energy policy: Land use change effects of bioenergy production. Science of the Total Environment 472, 78–89 (2014)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations


Corresponding author

Correspondence to Tomás Navarrete Gutiérrez .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Gutiérrez, T.N., Rege, S., Marvuglia, A., Benetto, E. (2015). Introducing LCA Results to ABM for Assessing the Influence of Sustainable Behaviours. In: Bajo, J., et al. Trends in Practical Applications of Agents, Multi-Agent Systems and Sustainability. Advances in Intelligent Systems and Computing, vol 372. Springer, Cham.

Download citation

  • DOI:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19628-2

  • Online ISBN: 978-3-319-19629-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics