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Carsharing in Valencia: Analysing an Alternative to Taxi Fleets

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1472))

Abstract

The awareness of pollution in urban areas is currently rising. Among the various possible solutions, the reduction of carbon dioxide emissions from the use of fossil-fuel-powered vehicles stands out. To this end, private vehicles and other services such as taxis could be replaced by more sustainable alternatives, including carsharing fleets. This type of vehicle, generally electric, is being introduced in more and more cities, offering a green mobility alternative. In this paper, we analyse the efficiency of the current taxi fleet in Valencia through multi-agent simulations. We then assess possible carsharing fleets with different configurations. Our results show the potential that a combination of the two types of fleets would have to meet the current demand and, at the same time, improve the sustainability of the city.

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Notes

  1. 1.

    2030 climate & energy framework: https://ec.europa.eu/clima/policies/strategies/2030_en.

  2. 2.

    http://cargreen.es/.

  3. 3.

    Govern Obert. www.valencia.es/val/ajuntament/govern-obert.

  4. 4.

    Instituto Nacional de Estadística (INE). www.ine.es/index.htm.

  5. 5.

    Value obtained as an average of the gas consumption of vehicle models generally used for taxis in Valencia.

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Acknowledgements

This work was partially supported by MINECO/FEDER RTI2018-095390-B-C31 project of the Spanish government. Pasqual Martí is funded by grant PAID-01-20-4 of Universitat Politècnica de València.

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Correspondence to Pasqual Martí .

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Martí, P., Jordán, J., Julian, V. (2021). Carsharing in Valencia: Analysing an Alternative to Taxi Fleets. In: De La Prieta, F., El Bolock, A., Durães, D., Carneiro, J., Lopes, F., Julian, V. (eds) Highlights in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection. PAAMS 2021. Communications in Computer and Information Science, vol 1472. Springer, Cham. https://doi.org/10.1007/978-3-030-85710-3_23

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  • DOI: https://doi.org/10.1007/978-3-030-85710-3_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-85709-7

  • Online ISBN: 978-3-030-85710-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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