Abstract
The need for emerging and innovative transport solutions has increased during the last decade due to the cities’ population growth and consumers’ trends towards eCommerce, a situation exacerbated by COVID-19. One of the most promising solutions to deal with last-mile logistics challenges is the installation of facilities strategically located within the city boundaries as Urban Consolidation Centres to move the goods from a conventional vehicles supplying the facility into smaller electric vehicles. In parallel, cities aim to become “smart cities” with the digital twin as an ultimate goal to merge physical and virtual environments. This paper explores the concept of digital twin and Urban Consolidation Centres. It presents different open data models, software tools and the integration to calculate city sustainability and operators’ performance indicators to leverage the results to improve policy-making and business decisions. It compares the Madrid business as usual scenario with the benefits of introducing Urban Consolidation Centres in a public parking lot in the centre of Madrid within the Low Emissions Zone and using electric vans to supply the Urban Consolidation Centres with electric tricycles to deliver to the end consumers. After validating the results between the real and virtual life experiments, Madrid will explore this simulation environment to understand the impacts of modifying the underlying business schemes. Policymakers and operators can respond to emerging research questions such as “what are the effects of defining new low emission zones?”; “what if we shift the location for the UCC or use other types of vehicles?
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
- 2.
- 3.
- 4.
- 5.
References
Taylor, P.: Accelerating the transition to a 100% renewable energy era: Edited by Tanay Sıdkı Uyar (Marmara University, Turkey), Lecture Notes in Energy Series, No. 74, Springer Nature Switzerland AG, Cham, Switzerland, 2020, 555 pages, ISBN: 978–3–030–40738–4, £159.99, €179.99, US$219.99. Johnson Matthey Technol. Rev. 65 (2021), https://doi.org/10.1595/205651321x16142624728651
Noussan, M., Hafner, M., Tagliapetra, S.: The Future of Transport Between Digitalization and Decarbonization; Springer (2020). ISBN ISBN 978–3–030–37965–0
IBM What is a Digital Twin? Available online: https://www.ibm.com/topics/what-is-a-digital-twin (Accessed on 28 Feb 2022)
ALICE Roadmap to the Physical Internet (2020)
Nguyen, T., Duong, Q.H., Nguyen, T.V., Zhu, Y., Zhou, L.: Knowledge mapping of digital twin and physical internet in Supply Chain Management: a systematic literature review. Int. J. Prod. Econ. 244 (2022). https://doi.org/10.1016/j.ijpe.2021.108381
Deng, T., Zhang, K., Shen, Z.J.: (Max) A systematic review of a digital twin city: a new pattern of urban governance toward smart cities. J. Manag. Sci. Eng., 6 (2021). https://doi.org/10.1016/j.jmse.2021.03.003
Marcucci, E., Gatta, V., Le Pira, M., Hansson, L., Bråthen, S.: Digital twins: a critical discussion on their potential for supporting policy‐making and planning in urban logistics. Sustain., 12 (2020). https://doi.org/10.3390/su122410623
Belfadel, A., Horl, S., Tapia, R.J., Puchinger, J.: Towards a digital twin framework for adaptive last mile city logistics. In: Proceedings of the 2021 6th International Conference on Smart and Sustainable Technologies, SpliTech 2021 (2021)
Fernández, S., Royo, B., González, J.N., Batalla, Á.: D3.3 Madrid Value Case (v1); (2022)
Royo, B., Ciprés, C., Lekkakos, S.: D1.4 Innovation Agenda - Value case scenario and validation KPIs (2021)
Belfadel, A.; Politaki, D. D2.1. Technical requirements—solution architecture (2020)
Kin, B., Spoor, J., Verlinde, S., Macharis, C., Van Woensel, T.: Modelling alternative distribution set-ups for fragmented last mile transport: Towards more efficient and sustainable urban freight transport. Case Stud. Transp. Policy 2018, 6, doi:https://doi.org/10.1016/j.cstp.2017.11.009
Royo, B. 2echelon (2021)
Tapia, R. D2.2. Digital Twin Models (2022)
EMISIA COPERT: The industry standard emissions calculator (2021)
Grupo Red Eléctrica Emisiones de CO2 asociadas a la generación de electricidad en España (2020)
Siikavirta, H., Punakivi, M., Kärkkäinen, M., Linnanen, L.: Effects of e-commerce on greenhouse gas emissions: a case study of grocery home delivery in Finland. J. Ind. Ecol. 6, 83–97 (2008). https://doi.org/10.1162/108819802763471807
Edwards, J.B., McKinnon, A.C.: Shopping trip or home delivery: which has the smaller carbon footprint? Focus (Madison) (2009)
Van Loon, P., Deketele, L., Dewaele, J., McKinnon, A., Rutherford, C.: A comparative analysis of carbon emissions from online retailing of fast moving consumer goods. J. Clean. Prod. 106, 478–486 (2015). https://doi.org/10.1016/j.jclepro.2014.06.060
Acknowledgements
The LEAD project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 861598.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Royo, B., Politaki, D., Gonzalez, J.N., Batalla, A. (2023). An Emerging and Innovation Transport Solution: Towards Transforming Parking Lot to Urban Consolidation Centre: Madrid Living Lab. In: Nathanail, E.G., Gavanas, N., Adamos, G. (eds) Smart Energy for Smart Transport. CSUM 2022. Lecture Notes in Intelligent Transportation and Infrastructure. Springer, Cham. https://doi.org/10.1007/978-3-031-23721-8_95
Download citation
DOI: https://doi.org/10.1007/978-3-031-23721-8_95
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-23720-1
Online ISBN: 978-3-031-23721-8
eBook Packages: EngineeringEngineering (R0)