Abstract
This research explores sustainable city logistics, emphasizing the hurdles associated with scarce urban resources, including their under- and mis-utilization due to a lack of real-time information on the available infrastructure and intense competition between companies. To face these challenges, there is a crucial need to improve the visibility of urban resources and logistics assets, as an enabler of effective and efficient resource allocation and orchestration of resource utilization and logistics operations. The advent of Smart Cities provides innovation opportunities, leading to the concept of Smart City Logistics (SCL). SCL will offer dual benefits: firstly, it improves resource visibility by profiting from the various fundamental technologies of Smart Cities, i.e., IoT and ICT, to collect and transfer the data of the ever-changing state of resources. Second, enhanced by Digital Twins, the real-time objects’ states can be synchronized and mirrored, which will support the decision-making in SCL to guide the allocation of urban resources to provide energy-efficient, cost-effective logistics services dynamically and responsively. This research primarily focuses on SCL’s conceptualization and modelling, while discussing potential future advancements.
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References
Rautela, H., Janjevic, M., Winkenbach, M.: Investigating the financial impact of collection-and-delivery points in last-mile E-commerce distribution. Res. Transp. Bus. Manag. 100681 (2021)
Dablanc, L.: Urban logistics and COVID-19. In: Transportation Amid Pandemics, pp. 131–141. Elsevier Inc. (2023)
Jaller, M., Holguín-Veras, J., Hodge, S.: Parking in the city - challenges for freight traffic. Transp. Res. Rec. 46–56 (2013)
Schachenhofer, L., Kummer, Y., Hirsch, P.: An analysis of underused urban infrastructures: usage opportunities and implementation barriers for sustainable logistics. Appl. Sci. (2023)
Dalla Chiara, G., Krutein, K.F., Ranjbari, A., Goodchild, A.: Providing curb availability information to delivery drivers reduces cruising for parking. Sci. Rep. 12, 1–11 (2022)
Zhao, Z., Zhang, M., Chen, J., Qu, T., Huang, G.Q.: Digital twin-enabled dynamic spatial-temporal knowledge graph for production logistics resource allocation. Comput. Ind. Eng. 171, 108454 (2022)
Pan, S., Zhou, W., Piramuthu, S., Giannikas, V., Chen, C.: Smart city for sustainable urban freight logistics. Int. J. Prod. Res. 59, 2079–2089 (2021)
Tu, W., Zhao, T., Zhou, B., Jiang, J., Xia, J., Li, Q.: OCD: online crowdsourced delivery for on-demand food. IEEE Internet Things J. 7, 6842–6854 (2020)
Taniguchi, E., Thompson, R.G., Qureshi, A.G.: Modelling city logistics using recent innovative technologies. Transp. Res. Procedia 46, 3–12 (2019)
Semeraro, C., Lezoche, M., Panetto, H., Dassisti, M.: Digital twin paradigm: a systematic literature review. Comput. Ind. 130 (2021)
Tao, F., et al.: makeTwin: a reference architecture for digital twin software platform. Chin. J. Aeronaut. (2023)
Zhang, L., Matteis, T., Liedtke, G.: Simulation-based assessment of cargo bicycle and pick-up point in urban parcel delivery. Procedia Comput. Sci. 130, 18–25 (2018)
Anderluh, A., Nolz, P.C., Hemmelmayr, V.C., Crainic, T.G.: Multi-objective optimization of a two-echelon vehicle routing problem with vehicle synchronization and ‘grey zone’ customers arising in urban logistics. Eur. J. Oper. Res. (2019)
Bayliss, C., Bektaş, T., Tjon-Soei-Len, V., Rohner, R.: Designing a multi-modal and variable-echelon delivery system for last-mile logistics. Eur. J. Oper. Res. (2022)
IET: Delivering the Goods: how technology can assist in last mile logistics operations. Inst. Eng. Technol. (2019)
Kim, H., Boyle, L.N., Goodchild, A.: Delivery process for an office building in the Seattle central business district. Transp. Res. Rec. 2672, 173–183 (2018)
Comi, A., Schiraldi, M.M., Buttarazzi, B.: Smart urban freight transport: tools for planning and optimising delivery operations. Simul. Model. Pract. Theory. (2018)
Acknowledgments
This work is supported by the Physical Internet Chair at Mines Paris - PSL University, in the project ASAP (Awaken Sleeping Assets Project) which has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 875022.
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Liu, Y., Pan, S., Folz, P., Hassan, T., Raipin-Parvedy, P., Ballot, E. (2024). Smart City Logistics Enabled by Digital Twins and Semantic Technologies. In: Borangiu, T., Trentesaux, D., Leitão, P., Berrah, L., Jimenez, JF. (eds) Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future. SOHOMA 2023. Studies in Computational Intelligence, vol 1136. Springer, Cham. https://doi.org/10.1007/978-3-031-53445-4_35
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