Analyzing Urban Mobility Carbon Footprint with Large-scale, Agent-based Simulation

Eduardo Felipe Zambom Santana, Lucas Kanashiro, Diego Bogado Tomasiello, Fabio Kon, Mariana Giannotti

Abstract

The growth of cities around the world bring new challenges to urban management and planning. Tools, such as simulators, can help the decision-making process by enabling the understanding of the current situation of the city and comparison of multiple scenarios with regard to changes in the urban infrastructure and in public policy. This paper presents an analysis of mobility parameters, such as distance, cost, travel time, and carbon footprint, for different simulated scenarios in a large metropolis in a developing country. We simulated the scenarios using an open source, large-scale, agent-based Smart City simulator that we developed.

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Paper Citation


in Harvard Style

Santana E., Kanashiro L., Bogado Tomasiello D., Kon F. and Giannotti M. (2018). Analyzing Urban Mobility Carbon Footprint with Large-scale, Agent-based Simulation.In Proceedings of the 7th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS, ISBN 978-989-758-292-9, pages 143-150. DOI: 10.5220/0006662201430150


in Bibtex Style

@conference{smartgreens18,
author={Eduardo Felipe Zambom Santana and Lucas Kanashiro and Diego Bogado Tomasiello and Fabio Kon and Mariana Giannotti},
title={Analyzing Urban Mobility Carbon Footprint with Large-scale, Agent-based Simulation},
booktitle={Proceedings of the 7th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,},
year={2018},
pages={143-150},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006662201430150},
isbn={978-989-758-292-9},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 7th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,
TI - Analyzing Urban Mobility Carbon Footprint with Large-scale, Agent-based Simulation
SN - 978-989-758-292-9
AU - Santana E.
AU - Kanashiro L.
AU - Bogado Tomasiello D.
AU - Kon F.
AU - Giannotti M.
PY - 2018
SP - 143
EP - 150
DO - 10.5220/0006662201430150