References
- Aguirre, O. E., & Muñoz, J. J. (2016). Urban Logistics Solutions in Latin America: A Study of a Modern Commercially Dense Neighborhood in the City of Quito-Ecuador. Universidad San Francisco de Quito & MIT Megacity Logistics Lab. Retrieved February 9, 2023, from https://core.ac.uk/download/pdf/147381728.pdf
- Anand, N., van Duin, R., Quak, H., & Tavasszy, L. (2015). Relevance of city logistics modelling efforts: A review. Transport Reviews, 35(6), 701–719. https://doi.org/10.1080/01441647.2015.1052112
- AnyLogic. (2016). Operations and Supply Chain Management with AnyLogic 7.2. Retrieved February 21, 2022, from https://www.anylogic.com/upload/pdf/operations-and-supply-chain-simulation-with-anylogic72.pdf
- Aradi, P., Gräff, J., & Lipovszki, G. (2014). Számítógépes szimuláció. Budapest University of Technology and Economics, Mechatronics, Optics, and Mechanical Engineering Informatics. Retrieved February 21, 2022, from https://mogi.bme.hu/TAMOP/szamitogepes_szimulacio/index.html
- Banks, J., Carson, J. S., Nelson, B. L., & Nicol, D. M. (2009). Discrete-event system simulation (5th ed.). Pearson PLC.
- BME-ALRT. (2023). BME City Logistics Research Group – About Us. Budapest University of Technology and Economics, Department of Material Handling and Logistics Systems. Retrieved May 5, 2023, from https://www.logisztika.bme.hu/citylog/en/
- Boloukian, R., & Siegmann, J. (2016). Urban logistics; a key for the Airport-Centric development – a review on development approaches and the role of urban logistics in comprehensive Airport-Centric planning. Transportation Research Procedia, 12, 800–811. https://doi.org/10.1016/j.trpro.2016.02.033
- Bóna, K., Róka, Á., & Sárdi, D. L. (2018). Mathematical modelling of the cost structure of the logistics system of shopping malls in Budapest. Periodica Polytechnica Transportation Engineering, 46(3), 142–150. https://doi.org/10.3311/PPtr.12073
- Bóna, K., & Sárdi, D. L. (2019). A városi koncentrált igénypont-halmazok áruellátási rendszerének új koncepciói a különböző közlekedési alágazatok lehetőségeinek kihasználásával. In T. Péter (Ed.), Proceedings of the Innovation and Sustainable Surface Transport (IFFK) Conference, 2019. Hungarian Academy of Engineering (MMA), Budapest.
- Bóna, K., & Sárdi, D. L. (2021). A geometrical structure-based new approach for city logistics system planning with cargo bikes and its application for the shopping malls of Budapest. Applied Sciences, 11(8), 3300. https://doi.org/10.3390/app11083300
- Chiara, G. D., & Cheah, L. (2017). Data stories from urban loading bays. European Transport Research Review, 9(50). https://doi.org/10.1007/s12544-017-0267-3
- Dehghanimohammadabadi, M., Belsare, S., & Thiesing, R. (2022). Simulation-optimization of digital twin. 2022 Winter Simulation Conference (WSC), Singapore, 1386–1400. https://doi.org/10.1109/WSC57314.2022.10015309
- EEA. (2021). Load factors for freight transport. European Environment Agency. Retrieved June 16, 2022, from https://www.eea.europa.eu/data-and-maps/indicators/load-factors-for-freight-transport/load-factors-for-freight-transport-1
- FlexSim. (2023). Supply Chain Simulation. Retrieved February 2, 2023, from https://www.flexsim.com/supply-chain-simulation/
- Flores, B., & Whybark, D. (1986). Multiple criteria ABC analysis. International Journal of Operations & Production Management, 6(3), 38–46. https://doi.org/10.1108/eb054765
- Flutter & Hillen. (1998). Taylor Enterprise dynamics User Manual. F & H Ltd.
- Fox, G. C., Williams, R. D., & Messina, P. C. (2014). Parallel computing works!. Morgan Kaufmann Publishers.
- Github. (2020). Urban Logistics Network Simulation in Python. Retrieved February 3, 2023, from https://fladdimir.github.io/post/csa-streetmap/
- Hapgood, T. (2009). Broadmead Freight Consolidation Scheme. Central London Freight Quality Partnership. Retrieved February 21, 2022, from https://www.centrallondonfqp.org/app/download/12244698/Bristol+consolidation+scheme+230408.pdf
- Hoyer, R. (2010). Distributing the Benefits of Urban Consolidation Centers: An Application on Westfield Shopping Center, London. Eindhoven University of Technology. Retrieved February 9, 2023. from https://pure.tue.nl/ws/portalfiles/portal/46920518/750539-1.pdf
- Interporto Padova. (2021). Logistics. Retrieved February 21, 2022, from https://www.interportopd.it/en/logistica/
- Law, A. M. (2014). Simulation modeling and analysis (McGraw-hill series in industrial Engineering and Management). McGraw-Hill Education.
- Lipovszki, G. (2020). Discrete Event Simulator (DES) in Python Programming Language – User Manual (In Hungarian). Budapest University of Technology and Economics, City Logistics Research Group. Retrieved February 2, 2023, from https://www.logisztika.bme.hu/citylog/wp-content/uploads/2023/02/2023-01-11__DES_Python_User_Manual.pdf
- Martijn, R. K. (2017). Simulation Modelling Using Practical Examples: A Plant Simulation Tutorial. University of Twente. Retrieved February 21, 2022, from https://www.utwente.nl/en/bms/iebis/staff/mes/plantsimulation/tutorialplantsimulation13v20170726.pdf
- Merchan, D., & Blanco, E. E. (2015). The Near future of Megacity logistics overview of best-practices, innovative strategies and Technology trends for last-mile delivery. Megacity Logistics. https://doi.org/10.13140/RG.2.2.28441.42083
- Mészáros, B., Sárdi, D. L., & Bóna, K. (2017). Monitoring, measurement and statistical analysis-based methodology for improving city logistics of shopping malls in Budapest. World Review of Intermodal Transportation Research, 6(4), 352–371. https://doi.org/10.1504/WRITR.2017.088913
- National Instruments. (2013). Getting Started with LabView. Retrieved February 21, 2022, from http://www.ni.com/pdf/manuals/373427j.pdf
- OR-Tools, G. (2021). Linear Optimization. Google. Retrieved February 21, 2022, from https://developers.google.com/optimization/lp
- Peyman, M., Copado, P., Panadero, J., Juan, A. A., & Dehghanimohammadabadi, M. (2021). A tutorial on how to connect Python with different simulation software to develop rich simheuristics. 2021 Winter Simulation Conference (WSC), Phoenix, AZ, USA, 1–10. https://doi.org/10.1109/WSC52266.2021.9715412
- Python. (2022). Python Documentation by Version. Retrieved March 4, 2022, from https://www.python.org/doc/versions/
- Rabe, M., Klueter, A., & Raps, J. (2020). Evaluating different distance metrics for calculating distances of last mile deliveries in urban areas for integration into supply chain simulation. Journal of Simulation, 14(1), 41–52. https://doi.org/10.1080/17477778.2019.1664262
- Ramalho, L. (2015). Fluent Python: Clear, concise, and effective programming. O’Reilly Media.
- Ribino, P., Cossentino, M., Lodato, C., & Lopes, S. (2018). Agent-based simulation study for improving logistic warehouse performance. Journal of Simulation, 12(1), 23–41. https://doi.org/10.1057/s41273-017-0055-z
- Rockwell Automation. (2023). Arena Simulation Software. Retrieved February 2, 2023, from https://www.rockwellautomation.com/en-us/products/software/arena-simulation.html
- Saaty, R. (1987). The Analytic Hierarchy process – what it is and how it is used. Mathematical Modelling, 9(3–5), 161–176. https://doi.org/10.1016/0270-0255(87)90473-8
- Sárdi, D. L., & Bóna, K. (2017). Developing a mesoscopic simulation model for the examination of shopping mall freight traffic in Budapest. IEEE Smart City Symposium Prague 2017. https://doi.org/10.1109/SCSP.2017.7973835
- Sárdi, D. L., & Bóna, K. (2019). Examination of the logistics systems of concentrated sets of urban delivery points by simulation. Proceedings of the 21st International Conference on Harbor, Maritime & Multimodal Logistics Modelling and Simulation, Lisbon, 1–10. https://doi.org/10.46354/i3m.2019.hms.001
- Sárdi, D. L., & Bóna, K. (2021). Mesoscopic simulation model of the logistics system of concentrated sets of urban delivery locations. International Journal of Simulation and Process Modelling, 16(2), 116–129. https://doi.org/10.1504/IJSPM.2021.115865
- Simio. (2023). Simio Simulation Software. Retrieved May 5, 2023, from https://www.simio.com/software/simulation-software.php
- SimPlan. (2023). SimChain – Discovering Optimization Potentials in Logistics. Retrieved February 2, 2023. from https://www.simchain.net/
- SimPy. (2020). SimPy discrete event simulation for Python – overview. Retrieved May 5, 2023, from https://simpy.readthedocs.io/en/latest/
- Simul8. (2023). Simul8 for Supply Chain, Warehousing & Logistics. Retrieved February 2, 2023, from https://www.simul8.com/applications/supply-chain-and-logistics/
- Tako, A. A., & Robinson, S. (2012). The application of discrete event simulation and system dynamics in the logistics and supply chain context. Decision Support Systems, 52(4), 802–815. https://doi.org/10.1016/j.dss.2011.11.015
- Triantafyllou, M. K., Cherrett, T. J., & Browne, M. (2014). Urban freight consolidation centers: Case study in the UK retail sector. Transportation Research Record: Journal of the Transportation Research Board, 2411(1), 34–44. https://doi.org/10.3141/2411-05
- Van Rooijen, T., & Quak, H. (2010). Local impacts of a new urban consolidation centre – the case of Binnenstadservice.Nl. Procedia – Social & Behavioral Sciences, 2(3), 5967–5979. https://doi.org/10.1016/j.sbspro.2010.04.011
- Vilmate blog. (2019). Python Vs Other Programming Languages. Vilmate Software Development. Retrieved February 3, 2023, from https://vilmate.com/blog/python-vs-other-programming-languages/
- Yang, Z. Z., & Moodie, D. R. (2011). Locating urban logistics terminals and shopping centres in a Chinese city. International Journal of Logistics: Research & Applications, 14(3), 165–177. https://doi.org/10.1080/13675567.2011.609159