@article{fdi:010075920,
  title = {{S}ynchronizing histories of exposure and demography : the construction of an agent-based model of the {E}cuadorian {A}mazon colonization and exposure to oil pollution hazards},
  author = {{H}oussou, {N}.{LJ}. and {C}ordero, {J}.{D}. and {B}ouadjio-{B}oulic, {A}. and {M}orin, {L}. and {M}aestripieri, {N}. and {F}errant, {S}. and {B}elem, {M}. and {P}elaez {S}anchez, {J}.{I}. and {S}aenz, {M}. and {L}erigoleur, {E}. and {E}lger, {A}. and {G}audou, {B}. and {M}aurice, {L}aurence and {S}aqalli, {M}.},
  editor = {},
  language = {{ENG}},
  abstract = {{S}ince the 1970s, the northern part of the {A}mazonian region of {E}cuador has been colonized with the support of intensive oil extraction that has opened up roads and supported the settlement of people from {O}utside {A}mazonia. {T}hese dynamics have caused important forest cuttings but also regular oil leaks and spills, contaminating both soil and water. {T}he {PASHAMAMA} {M}odel 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. {T}he aim of the present paper is to describe this model, which integrates two dynamics: (a) {O}il companies build roads and oil infrastructures and generate spills, inducing leaks and pipeline ruptures affecting rivers, soils and people. {T}his infrastructure has a probability of leaks, ruptures and other accidents that produce oil pollution affecting rivers, soils and people. (b) {N}ew colonists settled in rural areas mostly as close as possible to roads and producing food and/or cash crops. {T}he 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 = {{EQUATEUR} ; {AMAZONIE}},
  booktitle = {},
  journal = {{J}ournal of {A}rtificial {S}ocieties and {S}ocial {S}imulation},
  volume = {22},
  numero = {2},
  pages = {art. no 1 [23  en ligne]},
  year = {2019},
  DOI = {10.18564/jasss.3957},
  URL = {https://www.documentation.ird.fr/hor/fdi:010075920},
}