Agent Based Simulations for the Estimation of Sustainability Indicators | Zendy

Ander Pijoan | Zendy; Cruz E. Borges | Zendy; Iraia Oribe-Garcia | Zendy; Cristina Martín | Zendy; Ainhoa AlonsoVicario | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Agent Based Simulations for the Estimation of Sustainability Indicators

Author(s) -

Ander Pijoan,

Cruz E. Borges,

Iraia Oribe-Garcia,

Cristina Martín,

Ainhoa AlonsoVicario

Publication year - 2015

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2015.05.488

Subject(s) - computer science , sustainability , situated , construct (python library) , estimation , population , geographic information system , sustainable development , data science , data mining , risk analysis (engineering) , artificial intelligence , systems engineering , remote sensing , geography , ecology , demography , sociology , law , political science , engineering , biology , programming language , medicine

We present a methodology to improve the estimation of several Sustainability Indicators based on the measurement of walking distance to infrastructures combining Agent Based Simulation with Volunteer Geographic Information. Joining these two forces we construct a more realistic and accurate distribution of the infrastructures based on knowledge created by citizens and their perceptions instead of official data sources. A Situated Multi-Agent System is in charge of simulating not only the functional disparity and sociodemographic characteristics of the population but also the geographic reality in a dynamic way. Namely, the system will analyze different geographic barriers for each collective bringing new possibilities to improve the assessment of the needs of the population for a more sustainable development of the city. In this article we will describe the methodology to carry on several sustainability indicator measurements and present the results of the proposed methodology applied to several municipalities

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research