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The Sustainability Dimensions in Intelligent Urban Transportation: A Paradigm for Smart Cities

Author

Listed:
  • Lorena Reyes-Rubiano

    (Statistics, Computer Science and Mathematics Department, Institute of Smart Cities, Public University of Navarre, 31006 Pamplona, Spain)

  • Adrian Serrano-Hernandez

    (Statistics, Computer Science and Mathematics Department, Institute of Smart Cities, Public University of Navarre, 31006 Pamplona, Spain)

  • Jairo R. Montoya-Torres

    (Logistics Systems Research Group, School of Engineering, Universidad de La Sabana, Chia 250001, Colombia)

  • Javier Faulin

    (Statistics, Computer Science and Mathematics Department, Institute of Smart Cities, Public University of Navarre, 31006 Pamplona, Spain)

Abstract

The transportation sector has traditionally been considered essential for commercial activities, although nowadays, it presents clear negative impacts on the environment and can reduce social welfare. Thus, advanced optimization techniques are required to design sustainable routes with low logistic costs. Moreover, these negative impacts may be significantly increased as a consequence of the lack of synergy between the sustainability objectives. Correspondingly, the concept of transport optimization in smart cities is becoming popular in both the real world and academia when public decision making is lit by operations research models. In this paper, however, we argue that the level of urban smartness depends on its sustainability and on the level of information and communication technologies developed in the city. Therefore, the operations research models seek to achieve a higher threshold in the sustainable transport standards in smart cities. Thus, we present a generic definition of smart city, which includes the triple bottom line of sustainability, with the purpose of analyzing its effects on city performance. Finally, this work provides a consolidate study about urban freight transport problems, which show that sustainability is only one facet of the diamond of characteristics that depict a real smart city.

Suggested Citation

  • Lorena Reyes-Rubiano & Adrian Serrano-Hernandez & Jairo R. Montoya-Torres & Javier Faulin, 2021. "The Sustainability Dimensions in Intelligent Urban Transportation: A Paradigm for Smart Cities," Sustainability, MDPI, vol. 13(19), pages 1-20, September.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:19:p:10653-:d:642907
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    References listed on IDEAS

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    1. Ubeda, S. & Arcelus, F.J. & Faulin, J., 2011. "Green logistics at Eroski: A case study," International Journal of Production Economics, Elsevier, vol. 131(1), pages 44-51, May.
    2. Delucchi, Mark A. & McCubbin, Donald R., 2010. "External Costs of Transport in the U.S," Institute of Transportation Studies, Working Paper Series qt13n8v8gq, Institute of Transportation Studies, UC Davis.
    3. Carlos A. Vega-Mejía & Jairo R. Montoya-Torres & Sardar M. N. Islam, 2019. "Consideration of triple bottom line objectives for sustainability in the optimization of vehicle routing and loading operations: a systematic literature review," Annals of Operations Research, Springer, vol. 273(1), pages 311-375, February.
    4. Taniguchi, Eiichi & Noritake, Michihiko & Yamada, Tadashi & Izumitani, Toru, 1999. "Optimal size and location planning of public logistics terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 35(3), pages 207-222, September.
    5. Zhang, Jianghua & Zhao, Yingxue & Xue, Weili & Li, Jin, 2015. "Vehicle routing problem with fuel consumption and carbon emission," International Journal of Production Economics, Elsevier, vol. 170(PA), pages 234-242.
    6. Ulrike Ritzinger & Jakob Puchinger & Richard F. Hartl, 2016. "A survey on dynamic and stochastic vehicle routing problems," International Journal of Production Research, Taylor & Francis Journals, vol. 54(1), pages 215-231, January.
    7. Stephen P. Holland & Erin T. Mansur & Nicholas Z. Muller & Andrew J. Yates, 2015. "Environmental Benefits from Driving Electric Vehicles?," NBER Working Papers 21291, National Bureau of Economic Research, Inc.
    8. Zawieska, Jakub & Pieriegud, Jana, 2018. "Smart city as a tool for sustainable mobility and transport decarbonisation," Transport Policy, Elsevier, vol. 63(C), pages 39-50.
    9. Filip Škultéty & Dominika Beňová & Jozef Gnap, 2021. "City Logistics as an Imperative Smart City Mechanism: Scrutiny of Clustered EU27 Capitals," Sustainability, MDPI, vol. 13(7), pages 1-16, March.
    10. Santos, Georgina & Behrendt, Hannah & Maconi, Laura & Shirvani, Tara & Teytelboym, Alexander, 2010. "Part I: Externalities and economic policies in road transport," Research in Transportation Economics, Elsevier, vol. 28(1), pages 2-45.
    11. Hof, Julian & Schneider, Michael & Goeke, Dominik, 2017. "Solving the battery swap station location-routing problem with capacitated electric vehicles using an AVNS algorithm for vehicle-routing problems with intermediate stops," Transportation Research Part B: Methodological, Elsevier, vol. 97(C), pages 102-112.
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    Cited by:

    1. Małgorzata Pańkowska & Anna Sołtysik-Piorunkiewicz, 2022. "ICT Supported Urban Sustainability by Example of Silesian Metropolis," Sustainability, MDPI, vol. 14(3), pages 1-24, January.
    2. Paulina Golinska-Dawson & Kanchana Sethanan, 2023. "Sustainable Urban Freight for Energy-Efficient Smart Cities—Systematic Literature Review," Energies, MDPI, vol. 16(6), pages 1-28, March.

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