@article{fdi:010068857,
  title = {{E}xploring intra-urban accessibility and impacts of pollution policies with an agent-based simulation platform : {G}a{M}iro{D}},
  author = {{F}osset, {P}. and {A}ndre-{P}oyaud, {I}. and {B}anos, {A}. and {B}eck, {E}. and {C}hardonnel, {S}. and {C}onesa, {A}. and {L}ang, {C}. and {L}eysens, {T}. and {M}arilleau, {N}icolas and {P}iombini, {A}. and {T}hevenin, {T}.},
  editor = {},
  language = {{ENG}},
  abstract = {{I}n this work we address the issue of sustainable cities by focusing on one of their very central components: daily mobility. {I}ndeed, if cities can be interpreted as spatial organizations allowing social interactions, the number of daily movements needed to reach this goal is continuously increasing. {T}herefore, improving urban accessibility merely results in increasing traffic and its negative externalities (congestion, accidents, pollution, noise, etc.), while eventually reducing the quality of life of people in the city. {T}his is why several urban-transport policies are implemented in order to reduce individual mobility impacts while maintaining equitable access to the city. {T}his challenge is however non-trivial and therefore we propose to investigate this issue from the complex systems point of view. {T}he real spatial-temporal urban accessibility of citizens cannot be approximated just by focusing on space and implies taking into account the space-time activity patterns of individuals, in a more dynamic way. {T}hus, given the importance of local interactions in such a perspective, an agent based approach seems to be a relevant solution. {T}his kind of individual based and "interactionist" approach allows us to explore the possible impact of individual behaviors on the overall dynamics of the city but also the possible impact of global measures on individual behaviors. {I}n this paper, we give an overview of the {M}iro {P}roject and then focus on the {G}a{M}iro{D} model design from real data analysis to model exploration tuned by transportation-oriented scenarios. {A}mong them, we start with the the impact of a {LEZ} ({L}ow {E}mission {Z}one) in the city center.},
  keywords = {urban daily dynamic ; multi-agent system ; low emission zone ; sustainable city ; large scale simulation},
  booktitle = {},
  journal = {{S}ystems},
  volume = {4},
  numero = {1},
  pages = {art. 5 [20 p.]},
  ISSN = {2079-8954},
  year = {2016},
  DOI = {10.3390/systems4010005},
  URL = {https://www.documentation.ird.fr/hor/fdi:010068857},
}