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Mobility, Citizens, Innovation and Technology in Digital and Smart Cities

Author

Listed:
  • Thays A. Oliveira

    (Department of Information and Communication Technologies, Universitat Pompeu Fabra, Edifici Tànger, 122-140, 08018 Barcelona, Spain)

  • Yuri B. Gabrich

    (Department of Computer Science, Universidade do Estado do Rio de Janeiro, Pavilhão João Lyra Filho, 6o andar—Bloco B, Rua São Francisco Xavier, 524—Maracanã, Rio de Janeiro—RJ 20.550-013, Brazil)

  • Helena Ramalhinho

    (Department of Economics and Business, Universitat Pompeu Fabra, Carrer de Ramon Trias Fargas, 25-27, 08005 Barcelona, Spain)

  • Miquel Oliver

    (Department of Information and Communication Technologies, Universitat Pompeu Fabra, Edifici Tànger, 122-140, 08018 Barcelona, Spain)

  • Miri W. Cohen

    (Department of Software Engineering, Braude College of Engineering, P.O.Box 78 Snunit 51, Karmiel 21982, Israel)

  • Luiz S. Ochi

    (Institute of Computer Science, Universidade Federal Fluminense, Av. Gal. Milton Tavares de Souza, São Domingos, Niterói—RJ 24210-310, Brazil)

  • Serigne Gueye

    (Laboratoire d’Informatique d’Avignon, Université d’Avignon et des Pays du Vaucluse, 339 Chemin des Meinajaries, Agroparc BP 91228, 84911 Avignon CEDEX 9, France)

  • Fábio Protti

    (Institute of Computer Science, Universidade Federal Fluminense, Av. Gal. Milton Tavares de Souza, São Domingos, Niterói—RJ 24210-310, Brazil)

  • Alysson A. Pinto

    (Graduate Program in Materials Engineering, Universidade Federal de Ouro Preto, Praça Tiradentes, 20, Ouro Preto—MG 35400-000, Brazil)

  • Diógenes V. M. Ferreira

    (Control and Automation Laboratory, Universidade Federal de Ouro Preto, Campus Universitário Morro do Cruzeiro, Ouro Preto—MG 35400-000, Brazil)

  • Igor M. Coelho

    (Department of Computer Science, Universidade do Estado do Rio de Janeiro, Pavilhão João Lyra Filho, 6o andar—Bloco B, Rua São Francisco Xavier, 524—Maracanã, Rio de Janeiro—RJ 20.550-013, Brazil)

  • Vitor N. Coelho

    (Institute of Computer Science, Universidade Federal Fluminense, Av. Gal. Milton Tavares de Souza, São Domingos, Niterói—RJ 24210-310, Brazil
    OptBlocks, Avenida João Pinheiro, 274 Sala 201—Lourdes, Belo Horizonte—MG 30130-186, Brazil)

Abstract

Cities are constantly transforming and, consequently, attracting efforts from researchers and opportunities to the industry. New transportation systems are being built in order to meet sustainability and efficiency criteria, as well as being adapted to the current possibilities. Moreover, citizens are becoming aware about the power and possibilities provided by the current generation of autonomous devices. In this sense, this paper presents and discusses state-of-the-art transportation technologies and systems, highlighting the advances that the concepts of Internet of Things and Value are providing. Decentralized technologies, such as blockchain, are been extensively investigated by the industry, however, its widespread adoption in cities is still desirable. Aligned with operations research opportunities, this paper identifies different points in which cities’ services could move to. This also study comments about different combinatorial optimization problems that might be useful and important for an efficient evolution of our cities. By considering different perspectives, didactic examples are presented with a main focus on motivating decision makers to balance citizens, investors and industry goals and wishes.

Suggested Citation

  • Thays A. Oliveira & Yuri B. Gabrich & Helena Ramalhinho & Miquel Oliver & Miri W. Cohen & Luiz S. Ochi & Serigne Gueye & Fábio Protti & Alysson A. Pinto & Diógenes V. M. Ferreira & Igor M. Coelho & Vi, 2020. "Mobility, Citizens, Innovation and Technology in Digital and Smart Cities," Future Internet, MDPI, vol. 12(2), pages 1-27, January.
  • Handle: RePEc:gam:jftint:v:12:y:2020:i:2:p:22-:d:313196
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    References listed on IDEAS

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    1. Maggioni, Francesca & Cagnolari, Matteo & Bertazzi, Luca & Wallace, Stein W., 2019. "Stochastic optimization models for a bike-sharing problem with transshipment," European Journal of Operational Research, Elsevier, vol. 276(1), pages 272-283.
    2. Dekker, Rommert & Bloemhof, Jacqueline & Mallidis, Ioannis, 2012. "Operations Research for green logistics – An overview of aspects, issues, contributions and challenges," European Journal of Operational Research, Elsevier, vol. 219(3), pages 671-679.
    3. 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.
    4. Rose, Geoff & Delbosc, Alexa, 2016. "Powered-two-wheelers for city commuting: Insight from Australia's three largest capital cities," Journal of Transport Geography, Elsevier, vol. 54(C), pages 325-335.
    5. Frade, Ines & Ribeiro, Anabela, 2015. "Bike-sharing stations: A maximal covering location approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 82(C), pages 216-227.
    6. Mengelkamp, Esther & Gärttner, Johannes & Rock, Kerstin & Kessler, Scott & Orsini, Lawrence & Weinhardt, Christof, 2018. "Designing microgrid energy markets," Applied Energy, Elsevier, vol. 210(C), pages 870-880.
    7. Songyi Wang & Fengming Tao & Yuhe Shi & Haolin Wen, 2017. "Optimization of Vehicle Routing Problem with Time Windows for Cold Chain Logistics Based on Carbon Tax," Sustainability, MDPI, vol. 9(5), pages 1-23, April.
    8. Sun, Lishan & Huang, Yuchen & Liu, Shuli & Chen, Yanyan & Yao, Liya & Kashyap, Anil, 2017. "A completive survey study on the feasibility and adaptation of EVs in Beijing, China," Applied Energy, Elsevier, vol. 187(C), pages 128-139.
    9. Rothengatter, Werner, 2019. "Megaprojects in transportation networks," Transport Policy, Elsevier, vol. 75(C), pages 1-15.
    10. Ziliaskopoulos, Athanasios & Wardell, Whitney, 2000. "An intermodal optimum path algorithm for multimodal networks with dynamic arc travel times and switching delays," European Journal of Operational Research, Elsevier, vol. 125(3), pages 486-502, September.
    11. Shaukat, N. & Khan, B. & Ali, S.M. & Mehmood, C.A. & Khan, J. & Farid, U. & Majid, M. & Anwar, S.M. & Jawad, M. & Ullah, Z., 2018. "A survey on electric vehicle transportation within smart grid system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1329-1349.
    12. Rahimi, Mohammad & Baboli, Armand & Rekik, Yacine, 2017. "Multi-objective inventory routing problem: A stochastic model to consider profit, service level and green criteria," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 101(C), pages 59-83.
    13. Coelho, V.N. & Grasas, A. & Ramalhinho, H. & Coelho, I.M. & Souza, M.J.F. & Cruz, R.C., 2016. "An ILS-based algorithm to solve a large-scale real heterogeneous fleet VRP with multi-trips and docking constraints," European Journal of Operational Research, Elsevier, vol. 250(2), pages 367-376.
    14. Abdelkader Sbihi & Richard Eglese, 2010. "Combinatorial optimization and Green Logistics," Annals of Operations Research, Springer, vol. 175(1), pages 159-175, March.
    15. Coelho, Vitor N. & Coelho, Igor M. & Coelho, Bruno N. & Cohen, Miri Weiss & Reis, Agnaldo J.R. & Silva, Sidelmo M. & Souza, Marcone J.F. & Fleming, Peter J. & Guimarães, Frederico G., 2016. "Multi-objective energy storage power dispatching using plug-in vehicles in a smart-microgrid," Renewable Energy, Elsevier, vol. 89(C), pages 730-742.
    16. Lucas Bastos & Luiz Satoru Ochi & Fábio Protti & Anand Subramanian & Ivan César Martins & Rian Gabriel S. Pinheiro, 2016. "Efficient algorithms for cluster editing," Journal of Combinatorial Optimization, Springer, vol. 31(1), pages 347-371, January.
    17. John Parkin & Nicola Smithies, 2012. "Accounting for the Needs of Blind and Visually Impaired People in Public Realm Design," Journal of Urban Design, Taylor & Francis Journals, vol. 17(1), pages 135-149.
    18. Mohammad Rahimi & Armand Baboli & Yacine Rekik, 2017. "Multi-objective inventory routing problem : A stochastic model to consider profit, service level and green criteria," Post-Print hal-02311993, HAL.
    19. Samaniego, Horacio & Moses, Melanie E., 2008. "Cities as Organisms: Allometric Scaling of Urban Road Networks," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 1(1), pages 21-39.
    20. Morkunas, Vida J. & Paschen, Jeannette & Boon, Edward, 2019. "How blockchain technologies impact your business model," Business Horizons, Elsevier, vol. 62(3), pages 295-306.
    21. Coelho, Vitor N. & Weiss Cohen, Miri & Coelho, Igor M. & Liu, Nian & Guimarães, Frederico Gadelha, 2017. "Multi-agent systems applied for energy systems integration: State-of-the-art applications and trends in microgrids," Applied Energy, Elsevier, vol. 187(C), pages 820-832.
    22. Coelho, Vitor N. & Coelho, Igor M. & Coelho, Bruno N. & de Oliveira, Glauber C. & Barbosa, Alexandre C. & Pereira, Leo & de Freitas, Alan & Santos, Haroldo G. & Ochi, Luis S. & Guimarães, Frederico G., 2017. "A communitarian microgrid storage planning system inside the scope of a smart city," Applied Energy, Elsevier, vol. 201(C), pages 371-381.
    23. Timm Teubner & Christoph Flath, 2015. "The Economics of Multi-Hop Ride Sharing," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 57(5), pages 311-324, October.
    24. I.M. Coelho & P.L.A. Munhoz & L.S. Ochi & M.J.F. Souza & C. Bentes & R. Farias, 2016. "An integrated CPU--GPU heuristic inspired on variable neighbourhood search for the single vehicle routing problem with deliveries and selective pickups," International Journal of Production Research, Taylor & Francis Journals, vol. 54(4), pages 945-962, February.
    25. Doppstadt, C. & Koberstein, A. & Vigo, D., 2016. "The Hybrid Electric Vehicle – Traveling Salesman Problem," European Journal of Operational Research, Elsevier, vol. 253(3), pages 825-842.
    26. Jianjun Sun & Jiaqi Yan & Kem Z. K. Zhang, 2016. "Blockchain-based sharing services: What blockchain technology can contribute to smart cities," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 2(1), pages 1-9, December.
    27. Noel, Lance & Zarazua de Rubens, Gerardo & Kester, Johannes & Sovacool, Benjamin K., 2019. "Navigating expert skepticism and consumer distrust: Rethinking the barriers to vehicle-to-grid (V2G) in the Nordic region," Transport Policy, Elsevier, vol. 76(C), pages 67-77.
    28. Sybil Derrible & Christopher Kennedy, 2011. "Applications of Graph Theory and Network Science to Transit Network Design," Transport Reviews, Taylor & Francis Journals, vol. 31(4), pages 495-519.
    29. Chen-Yang Yan & Mao-Bin Hu & Rui Jiang & Jiancheng Long & Jin-Yong Chen & Hao-Xiang Liu, 2019. "Stochastic Ridesharing User Equilibrium in Transport Networks," Networks and Spatial Economics, Springer, vol. 19(4), pages 1007-1030, December.
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