Synchronizing Histories of Exposure and Demography: The Construction of an Agent-Based Model of the Ecuadorian Amazon Colonization and Exposure to Oil Pollution Hazards

Noudéhouénou Lionel Jaderne Houssou (), Juan Durango Cordero (), Audren Bouadjio-Boulic (), Lucie Morin (), Nicolas Maestripieri (), Sylvain Ferrant (), Mahamadou Belem (), Jose Ignacio Pelaez Sanchez, Melio Saenz (), Emilie Lerigoleur (), Arnaud Elger (), Benoit Gaudou (), Laurence Maurice () and Mehdi Saqalli ()
Additional contact information
Emilie Lerigoleur: http://w3.geode.univ-tlse2.fr/permanents/lerigoleur.php
Arnaud Elger: http://www.ecolab.omp.eu/profils/ELGER_Arnaud
Benoit Gaudou: https://www.researchgate.net/profile/Benoit_Gaudou
Mehdi Saqalli: http://w3.geode.univ-tlse2.fr/permanents/saqalli.php

Journal of Artificial Societies and Social Simulation, 2019, vol. 22, issue 2, 1

Abstract: Since the 1970s, the northern part of the Amazonian region of Ecuador has been colonized with the support of intensive oil extraction that has opened up roads and supported the settlement of people from Outside Amazonia. These dynamics have caused important forest cuttings but also regular oil leaks and spills, contaminating both soil and water. The PASHAMAMA Model seeks to simulate these dynamics on both environment and population by examining exposure and demography over time thanks to a retro-prospective and spatially explicit agent-based approach. The aim of the present paper is to describe this model, which integrates two dynamics: (a) Oil companies build roads and oil infrastructures and generate spills, inducing leaks and pipeline ruptures affecting rivers, soils and people. This infrastructure has a probability of leaks, ruptures and other accidents that produce oil pollution affecting rivers, soils and people. (b) New colonists settled in rural areas mostly as close as possible to roads and producing food and/or cash crops. The innovative aspect of this work is the presentation of a qualitative-quantitative approach explicitly addressed to formalize interdisciplinary modeling when data contexts are almost always incomplete.

Keywords: Ecuadorian Amazon; Oil Pollution Exposure; Agent-Based Modeling; Colonization Demography; Historical Modeling Reconstruction (search for similar items in EconPapers)
Date: 2019-03-31
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Persistent link: https://EconPapers.repec.org/RePEc:jas:jasssj:2017-140-3

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