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A New Bi-objective Classic Transportation Model Considering Social Justice

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Hybrid Intelligent Systems (HIS 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1375))

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Abstract

Today, accessibility is an important issue in the field of transportation in such a way that can leave a significant effect on urban development and progress. Accessibility is very important for people in the community who use transportation. Transportation involves a lot of costs that we can provide urban transportation policies and plan with social justice, which is one of the issues of sustainability. Social justice in transportation contains seven methods. In this study, we examined social justice with minimal variance for additional benefits and present a linear model of an extend two-objective integer programming method, which is generalize and solve according to the exact ε-constrain method. We review the results in different situations and use the opinion of domain experts for validation. Experimental results reveal that the best way to increase justice is to increase access routes, and in the other cases, to increase available resources, which is much more efficient than increasing areas.

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Author information

Authors and Affiliations

  1. Department of Industrial Engineering, Yazd University, Yazd, Iran

    Sohaib Dastgoshade

  2. Machine Intelligence Research Labs (MIR Labs), Scientific Network for Innovation and Research Excellence, Auburn, WA, 98071, USA

    Ajith Abraham

Authors
  1. Sohaib Dastgoshade
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  2. Ajith Abraham
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Corresponding author

Correspondence to Ajith Abraham .

Editor information

Editors and Affiliations

  1. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Ajith Abraham

  2. Institute for Information Systems, University of Applied Sciences and Arts Northwestern Switzerland, Olten, Solothurn, Switzerland

    Thomas Hanne

  3. Division of Graduate Studies, Tijuana Institute of Technology, Tijuana, Mexico

    Oscar Castillo

  4. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, AL, USA

    Niketa Gandhi

  5. Universidade Federal da Bahia, Salvador, Bahia, Brazil

    Tatiane Nogueira Rios

  6. Computer Science and Information Engineering, National University of Kaohsiung, Kaohsiung, Taiwan

    Tzung-Pei Hong

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Dastgoshade, S., Abraham, A. (2021). A New Bi-objective Classic Transportation Model Considering Social Justice. In: Abraham, A., Hanne, T., Castillo, O., Gandhi, N., Nogueira Rios, T., Hong, TP. (eds) Hybrid Intelligent Systems. HIS 2020. Advances in Intelligent Systems and Computing, vol 1375. Springer, Cham. https://doi.org/10.1007/978-3-030-73050-5_30

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