Investigation and evaluation of main indicators impacting synchromodality using ARTIW and AHP methods
Abstract
The East-West Transport Corridor (EWTC) in the Southern part of the Baltic Sea Region (BSR) has been chosen as a practical area for implementation of a novel transportation concept called synchromodality. The main expectations in developing synchromodal transport system are related to the improvement of the transport service level, modal shift and capacities utilization of transport hubs along this corridor. However, in the absence of identification of major factors influencing synchromodal system it is difficult to evaluate a potential benefit of implementation of this new transport concept. Our main goal in this paper was, on the basis of a review and using a specific questionnaire, to determine the main indicators impacting effectiveness of the synchromodal system. Compatibility of experts’ opinions was verified by using Multiple-Criteria Decision-Making (MCDM) method. The paper will be useful for transport and logistics companies interested in moving towards synchromodal transport, as well as for future researchers. In the course of the research – using the Average Rank Transformation Into Weight (ARTIW) and Analytic Hierarchy Process (AHP) methods – it was determined that the normalized subjective weights of the five main criteria impacting synchromodality distributed in the following order: service quality, efficiency, infrastructure sufficiency, technical properties of terminals and interaction of technologies. In accordance with the Kendall’s concordance coefficient and consistency ratio values, expert opinions are consistent, which enabled the rankings of expert group averages and the eigenvector to take as a result of the task solution. The outcomes of the research presented in the paper have shown that service quality (transport time, service and waiting time, handling time, working hours, reliability and flexibility) is the most important indicator (criterion) impacting synchromodality. At the same time it is a big challenge for transport researchers because it requires to design and apply a qualitatively new mathematical models facilitating an establishment of an optimal synchromodal network and services along chosen transport corridor.
Keyword : synchromodality, transport corridor, indicator, rank correlation, ARTIW, AHP, MCDM
How to Cite
Šakalys, R., Sivilevičius, H., Miliauskaitė, L., & Šakalys, A. (2019). Investigation and evaluation of main indicators impacting synchromodality using ARTIW and AHP methods. Transport, 34(3), 300-311. https://doi.org/10.3846/transport.2019.9718
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
Aditjandra, P. T. 2018. Europe’s freight transport policy: analysis, synthesis and evaluation, Advances in Transport Policy and Planning 1: 197–243. https://doi.org/10.1016/bs.atpp.2018.07.006
Aditjandra, P. T.; Zunder, T. H.; Islam, D. M. Z.; Palacin, R. 2016. Green rail transportation: improving rail freight to support green corridors, in H. Psaraftis (Ed.). Green Transportation Logistics, 413–454. https://doi.org/10.1007/978-3-319-17175-3_12
Aditjandra, P. T.; Zunder, T. H.; Islam, D. M. Z.; Vanaale, E. 2012. Investigating freight corridors towards low carbon economy: evidence from the UK, Procedia – Social and Behavioral Sciences 48: 1865–1876. https://doi.org/10.1016/j.sbspro.2012.06.1161
Agbo, A. A.; Zhang, Y. 2017. Sustainable freight transport optimisation through synchromodal networks, Cogent Engineering 4(1): 1421005. https://doi.org/10.1080/23311916.2017.1421005
Alessandri, A.; Sacone, S.; Siri, S. 2007. Modelling and optimal receding-horizon control of maritime container terminals, Journal of Mathematical Modelling and Algorithms 6(1): 109–133. https://doi.org/10.1007/s10852-006-9052-3
ALICE. 2015. Corridors, Hubs and Synchromodality: Research & Innovation Roadmap. Alliance for Logistics Innovation through Collaboration in Europe (ALICE). 44 p. Available from Internet: http://www.etp-logistics.eu/?page_id=79
Ayed, H.; Habbas, Z.; Khadraoui, D.; Galvez-Fernandez, C. 2011. A parallel algorithm for solving time dependent multimodal transport problem, in 2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC), 5–7 October 2011, Washington, DC, US, 722–727. https://doi.org/10.1109/ITSC.2011.6082973
Behdani, B.; Fan, Y.; Wiegmans, B.; Zuidwijk, R. 2016. Multi-modal schedule design for synchromodal freight transport systems, European Journal of Transport and Infrastructure Research 16(3): 424–444.
Bol Raap, W. 2016. The Design of a Common Data Model for Generic Synchromodal Cargo-Tracking in Logistics Using Web Scraping and Big & Open Data. Master Thesis. University of Twente, Netherlands. 160 p. Available from Internet: https://essay.utwente.nl/69690/1/BolRaap_MA_EEMCS.pdf
Bontekoning, Y. M.; Macharis, C.; Trip, J. J. 2004. Is a new applied transportation research field emerging? A review of intermodal rail–truck freight transport literature, Transportation Research Part A: Policy and Practice 38(1): 1–34. https://doi.org/10.1016/j.tra.2003.06.001
Brümmerstedt, K.; Van Beek, H. M.; Münsterberg, T. 2017. Comparative analysis of synchromodality in major European seaports, in C. Jahn, W. Kersten, C. M. Ringle (Eds.). Digitalization in Maritime and Sustainable Logistics: City Logistics, Port Logistics and Sustainable Supply Chain Management in the Digital Age, 59–76. https://doi.org/10.15480/882.1477
Buiel, E. F. T.; Visschedijk, G. C.; Lebesque, L. H. E. M.; Lucassen, I. M. P. J.; Van Riessen, B.; Van Rijn, A.; Te Brake, G. M. 2015. Synchro mania – design and evaluation of a serious game creating a mind shift in transport planning, in 46th International Simulation and Gaming Association Conference, ISAGA 2015, 18–25 July 2015, Kyoto, Japan, 1–12.
Ceder, A.; Golany, B.; Tal, O. 2001. Creating bus timetables with maximal synchronization, Transportation Research Part A: Policy and Practice 35(10): 913–928. https://doi.org/10.1016/S0965-8564(00)00032-X
Chen, S.; Leng, Y.; Mao, B.; Liu, S. 2014. Integrated weight-based multi-criteria evaluation on transfer in large transport terminals: a case study of the Beijing south railway station, Transportation Research Part A: Policy and Practice 66: 13–26. https://doi.org/10.1016/j.tra.2014.04.015
Chen, S.; Pham, V. K.; Chen, J. K. 2016. Evaluating and selecting the best outsourcing service country in East and Southeast Asia: an AHP approach, Journal of Testing and Evaluation 44(1): 89–101. https://doi.org/10.1520/JTE20140065
Cruijssen, F.; Dullaert, W.; Fleuren, H. 2007. Horizontal cooperation in transport and logistics: a literature review, Transportation Journal 46(3): 22–39.
Defares, D. 2011. Exploration of Future Container Transport to and from the Dutch Hinterland: Assessing the Need for Future Policies. Master Thesis. Delft University of Technology, Netherlands. 226 p. Available from Internet: https://repository.tudelft.nl/islandora/object/uuid:a834577a-f4a3-4741-8185-267e51165566/datastream/OBJ
Dolinsek, M.; Hartl, S.; Hartl, T.; Hintergräber, B.; Hofbauer, V.; Hrusovsky, M.; Maierbrugger, G.; Matzner, B.; Putz, L.-M.; Sattler, M.; Schweighofer, J.; Seemann, L.; Simoner, M.; Slavicek, D. 2013. Manual on Danube Navigation. Österreichische Wasserstraßen-Gesellschaft mbH, Vienna. 218 p. Available from Internet: http://ines-danube.info/goto.php?target=file_1545_download&client_id=viailias4
Dong, C.; Boute, R.; McKinnon, A.; Verelst, M. 2018. Investigating synchromodality from a supply chain perspective, Transportation Research Part D: Transport and Environment 61: 42–57. https://doi.org/10.1016/j.trd.2017.05.011
EWTCA. 2018. East-West Transport Corridor Association. Vilnius, Lithuania. Available from Internet: http://www.ewtcassociation.net
Fan, Y. 2013. The Design of a Synchromodal Freight Transport System: Applying Synchromodality to Improve the Performance of Current Intermodal Freight Transport System. Master Thesis. Delft University of Technology, Netherlands. 97 p. Available from Internet: https://repository.tudelft.nl/islandora/object/uuid:ed9d790c-73bd-4afa-9401-04748a5c8ddf/datastream/OBJ/
Farhan, J.; Fwa, T. F. 2009. Pavement maintenance prioritization using analytic hierarchy process, Transportation Research Record: Journal of the Transportation Research Board 2093: 12–24. https://doi.org/10.3141/2093-02
Fawcett, S. E.; Osterhaus, P.; Magnan, G. M.; Brau, J. C., McCarter, M. W. 2007. Information sharing and supply chain performance: the role of connectivity and willingness, Supply Chain Management: an International Journal 12(5): 358–368. https://doi.org/10.1108/13598540710776935
Geerlings, H.; Kuipers, B.; Zuidwijk, R. 2017. Ports and Networks: Strategies, Operations and Perspectives. Routledge. 406 p. https://doi.org/10.4324/9781315601540
Hauge, J. B.; Boschian, V.; Pagenelli, P. 2011. Synchronization of material and information flows in intermodal freight transport: an industrial case study, in H. J. Kreowski, B. Scholz-Reiter, K. D. Thoben (Eds.). Dynamics in Logistics, 227–234. https://doi.org/10.1007/978-3-642-11996-5_20
Heo, E.; Kim, J.; Boo, K.-J. 2010. Analysis of the assessment factors for renewable energy dissemination program evaluation using fuzzy AHP, Renewable and Sustainable Energy Reviews 14(8): 2214–2220. https://doi.org/10.1016/j.rser.2010.01.020
Hintjens, J.; Vanelslander, T.; Van der Horst, M.; Kuipers, B. 2015. The evolution of the economic centre of gravity and the consequences for gateway ports and hinterland connections: the case of the Flemish-Dutch Delta, in Proceedings of the IAME Annual Conference 2015, International Association of Maritime Economists, 24–26 August 2015, Kuala Lumpur, Malaysia, 1–23.
Hofman, W. 2016. Data sharing requirements of supply – and logistics innovations – towards a maturity model, in Information Systems, Logistics, and Supply Chain: 6th International Conference, ILS 2016, 1–4 June 2016, Bordeaux, France, 1–8.
Hofman, W. J.; Bastiaansen, H. J. M. 2014. Roadmap towards a smart logistics ecosystem, in 7th European Conference on ICT for Transport Logistics – ECITL 2014, 5–7 November 2014, Dortmund, Germany, 1–12.
Hofman, W.; Bastiaansen, H.; Van den Berg, J.; Pruksasri, P. 2012. A platform for secure, safe, and sustainable logistics, in Proceedings of the e-Freight 2012 Conference, 9–10 May 2012, Delft, Netherlands, 1–18.
INTERREG BSR. 2019. INTERREG Baltic Sea Region Programme. Available from Internet: https://www.interreg-baltic.eu
Intihar, M.; Kramberger, T.; Dragan, D. 2017. Container throughput forecasting using dynamic factor analysis and ARIMAX model, Promet – Traffic & Transportation 29(5): 529–542. https://doi.org/10.7307/ptt.v29i5.2334
Jarašūnienė, A.; Greičiūnė, L.; Šakalys, A. 2012. Research of competitive environment of Klaipėda Seaport comparing to other seaports in the eastern Baltic Sea region, Transport 27(1): 5–13. https://doi.org/10.3846/16484142.2012.662911
Kapetanis, G. N.; Psaraftis, H. N.; Spyrou, D. 2016. A Simple synchro – modal decision support tool for the Piraeus container terminal, Transportation Research Procedia 14: 2860–2869. https://doi.org/10.1016/j.trpro.2016.05.403
Kendall, M.; Gibbons, J. D. 1990. Rank Correlation Methods. Oxford University Press. 272 p.
Kos, S.; Vukić, L.; Brčić, D. 2017. Comparison of external costs in multimodal container transport chain, Promet – Traffic & Transportation 29(2): 243–252. https://doi.org/10.7307/ptt.v29i2.2183
Lucassen, I. M. P. J.; Dogger, T. 2012. Synchromodality Pilot Study. Identification of Bottlenecks and Possibilities for a Network between Rotterdam, Moerdijk and Tilburg. TNO Report 2012 P10128, Delft, Netherlands.
Maskeliūnaitė, L.; Sivilevičius, H.; Podvezko, V. 2009. Research on the quality of passenger transportation by railway, Transport 24(2): 100–112. https://doi.org/10.3846/1648-4142.2009.24.100-112
Mason, R.; Lalwani, C.; Boughton, R. 2007. Combining vertical and horizontal collaboration for transport optimisation, Supply Chain Management: an International Journal 12(3): 187–199. https://doi.org/10.1108/13598540710742509
Miletić, G.-M.; Gašparović, S.; Carić, T. 2017. Analysis of sociospatial differentiation in transport mode choice preferences, Promet – Traffic & Transportation 29(2): 233–242. https://doi.org/10.7307/ptt.v29i2.2198
Montgomery, D. C. 2013. Design and Analysis of Experiments. Willey. 752 p.
Muller, G. 1999. Intermodal Freight Transportation. Eno Transportation Foundation. 502 p.
Nabais, J. L.; Negenborn, R. R.; Botto, M. A. 2013. Hierarchical model predictive control for optimizing intermodal container terminal operations, in 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013), 6–9 October 2013, The Hague, Netherlands, 708–713. https://doi.org/10.1109/ITSC.2013.6728314
Norman, B. A.; Rajgopal, J.; Lim, J.; Gorham, K.; Haidari, L.; Brown, S. T.; Lee, B. Y. 2015. Modular vaccine packaging increases packing efficiency, Vaccine 33(27): 3135–3141. https://doi.org/10.1016/j.vaccine.2015.04.091
Overbeek, S.; Klievink, B.; Hesketh, D.; Heijmann, F.; Tan, Y.-H. 2011. A web-based data pipeline for compliance in international trade, in Proceedings of the 1st Workshop on IT Innovations Enabling Seamless and Secure Supply Chains (WITNESS-2011), 29 August 2011, Delft, Netherlands, 32–48.
Palevičius, V.; Podviezko, A.; Sivilevičius, H.; Prentkovskis, O. 2018. Decision-aiding evaluation of public infrastructure for electric vehicles in cities and resorts of Lithuania, Sustainability 10(4): 904. https://doi.org/10.3390/su10040904
Palevičius, V.; Sivilevičius, H.; Podviezko, A.; Griškevičiūtė-Gečienė, A.; Karpavičius, T. 2017. Evaluation of park and ride facilities at communication corridors in a middle-sized city, Economic Computation and Economic Cybernetics Studies and Research 51(2): 231–248.
Pedersen, M. B.; Crainic, T. G.; Madsen, O. B. G. 2009. Models and tabu search metaheuristics for service network design with asset-balance requirements, Transportation Science 43(2): 158–177. https://doi.org/10.1287/trsc.1080.0234
Pfoser, S.; Putz, L.-M.; Schauer, O.; Prandtstetter, M. 2017. Facilitating synchromodal transport through interconnected, modular and intelligent transport units, in Proceedings of the 24th EurOMA Conference, 1–5 July 2017, Edinburgh, Scotland, UK, 1–9.
Pfoser, S.; Treiblmaier, H.; Schauer, O. 2016. Critical success factors of synchromodality: results from a case study and literature review, Transportation Research Procedia 14: 1463–1471. https://doi.org/10.1016/j.trpro.2016.05.220
Pleszko, J. 2012. Multi-variant configurations of supply chains in the context of synchromodal transport, LogForum 8(4): 287–295.
Pomponi, F.; Fratocchi, L.; Tafuri, S. R. 2015. Trust development and horizontal collaboration in logistics: a theory based evolutionary framework, Supply Chain Management: an International Journal 20(1): 83–97. https://doi.org/10.1108/SCM-02-2014-0078
Putz, L.-M.; Haider, C.; Haller, A.; Schauer, O. 2015. Identifying key enablers for synchromodal transport chains in Central Europe, in WCTRS SIG2 2015 Conference: the Port and Maritime Sector: Key Developments and Challenges, 11–15 May 2015, Antwerp, Belgium, 1–19.
Ramanathan, R. 2001. A note on the use of the analytic hierarchy process for environmental impact assessment, Journal of Environmental Management 63(1): 27−35. https://doi.org/10.1006/jema.2001.0455
Reis, V. 2015. Should we keep on renaming a +35-year-old baby?, Journal of Transport Geography 46: 173–179. https://doi.org/10.1016/j.jtrangeo.2015.06.019
Rodrigue, J.-P. 1999. Globalization and the synchronization of transport terminals, Journal of Transport Geography 7(4): 255–261. https://doi.org/10.1016/S0966-6923(99)00018-6
Rossi, S. 2012. Challenges of Co-Modality in a Collaborative Environment. CO³ Position Paper, Deliverable D2.3, Cranfield School of Management, UK. 41 p. Available from Internet: http://www.co3-project.eu/wo3/wp-content/up loads/2011/12/CO3-D-2-3-Position-Paper-on-Co-modality_def.pdf
Roth, M.; Klarmann, A.; Franczyk, B. 2013. Future logistics – challenges, requirements and solutions for logistics networks, International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering 7(10): 898–903.
Saaty, T. L. 1980. The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill. 287 p.
Saaty, T. L.; Shang, J. S. 2011. An innovative orders-of-magnitude approach to AHP-based mutli-criteria decision making: prioritizing divergent intangible humane acts, European Journal of Operational Research 214(3): 703–715. https://doi.org/10.1016/j.ejor.2011.05.019
Šakalys, R.; Batarlienė, N. 2017. Research on intermodal terminal interaction in international transport corridors, Procedia Engineering 187: 281–288. https://doi.org/10.1016/j.proeng.2017.04.376
Sivilevičius, H. 2011a. Application of expert evaluation method to determine the importance of operating asphalt mixing plant quality criteria and rank correlation, The Baltic Journal of Road and Bridge Engineering 6(1): 48–58. https://doi.org/10.3846/bjrbe.2011.07
Sivilevičius, H. 2011b. Modelling the interaction of transport system elements, Transport 26(1): 20–34. https://doi.org/10.3846/16484142.2011.560366
Sivilevičius, H.; Maskeliūnaitė, L. 2018. Multiple criteria evaluation and the inverse hierarchy model for justifying the choice of rail transport mode, Promet – Traffic & Transportation 30(1): 57–69. https://doi.org/10.7307/ptt.v30i1.2417
Sivilevičius, H.; Maskeliūnaitė, L. 2010. The criteria for identifying the quality of passengers’ transportation by railway and their ranking using AHP method, Transport 25(4): 368–381. https://doi.org/10.3846/transport.2010.46
Solvay, A. F.; Haberstroh, M.; Thelen, S.; Schilberg, D.; Jeschke, S. 2016. New intermodal loading units in the European transport market, in S. Jeschke, I. Isenhardt, F. Hees, K. Henning (Eds.). Automation, Communication and Cybernetics in Science and Engineering 2015/2016, 687–697. https://doi.org/10.1007/978-3-319-42620-4_52
Stanujkic, D. 2016. An extension of the ratio system approach of MOORA method for group decision-making based on interval-valued triangular fuzzy numbers, Technological and Economic Development of Economy 22(1): 122–141. https://doi.org/10.3846/20294913.2015.1070771
Steadieseifi, M.; Dellaert, N. P.; Nuijten, W.; Van Woensel, T.; Raoufi, R. 2014. Multimodal freight transportation planning: a literature review, European Journal of Operational Research 233(1): 1–15. https://doi.org/10.1016/j.ejor.2013.06.055
Tavasszy, L. A.; Behdani, B.; Konings, R. 2015. Intermodality and Synchromodality. 15 p. https://doi.org/10.2139/ssrn.2592888
Tavasszy, L.; Janssen, R.; Van der Lugt, L.; Hagdorn, L. 2010. Verkenning Synchromodaal Transportsysteem. TNO Hoofdrapport TNO-034-DTM-2010-04431. Nederlandse Organisatie voor Toegepast Natuurwetenschappelijk Onderzoek (TNO). 56 p. (in Dutch).
Taylan, O.; Bafail, A. O.; Abdulaal, R. M. S.; Kabli, M. R. 2014. Construction projects selection and risk assessment by fuzzy AHP and fuzzy TOPSIS methodologies, Applied Soft Computing 17: 105–116. https://doi.org/10.1016/j.asoc.2014.01.003
TENTacle. 2019. New Transport Corridor Project in the Baltic Sea Region. Available from Internet: http://www.tentacle.eu
Topsector Logistiek. 2011. Partituur naar de top. Adviesrapport Topteam Logistiek. 36 p. (in Dutch). Available from Internet: http://www.infrasite.nl/documents/bedrijven/1889/Adviesrapport%20TopTeam%20Logistiek%202011.pdf
Topsector Logistiek. 2018. Platform Synchromodaliteit (in Dutch). Available from Internet: http://www.synchromodaliteit.nl/definitie
Van der Burgh, M. 2012. Synchromodal Transport for the Horticulture Industry: Requirements for Implementation in the Westland-Oostland Greenport. Master Thesis. Erasmus University Rotterdam, Netherlands. 89 p. Available from Internet: https://thesis.eur.nl/pub/12943/MA-thesis%20M.%20van%20der%20Burgh%20(321516).pdf
Van Gool, M. J. 2012. Travel Time Reduction through Real-Time Container Truck Assignment. Master Thesis. Radboud University, Netherlands. 140 p. Available from Internet: https://theses.ubn.ru.nl/bitstream/handle/123456789/195/Gool%2c_M.J._van_1.pdf?sequence=1
Van Riessen, B.; Negenborn, R. R.; Dekker, R.; Lodewijks, G. 2013. Service Network Design for an Intermodal Container Network with Flexible due Dates/Times and the Possibility of Using Subcontracted Transport. Erasmus School of Economics, Erasmus University Rotterdam, Netherlands. 16 p. Available from Internet: https://repub.eur.nl/pub/40343
Van Stijn, E.; Hesketh, D.; Tan, Y.-H.; Klievink, B.; Overbeek, S.; Heijmann, F.; Pikart, M.; Buterly, T. 2011. The data pipeline, in Global Trade Facilitation Conference 2011 – Connecting International Trade: Single Windows and Supply Chains in the Next Decade, 12–13 December, Geneva, Switzerland.
Veenstra, A.; Zuidwijk, R.; Van Asperen, E. 2012. The extended gate concept for container terminals: Expanding the notion of dry ports, Maritime Economics & Logistics 14(1): 14–32. https://doi.org/10.1057/mel.2011.15
Vinke, P. J. 2016. Dynamic Consolidation Decisions in a Synchromodal Environment: Improving the Synchromodal Control Tower. Master Thesis. University of Twente, Netherlands, 102 p. Available from Internet: https://essay.utwente.nl/69109/1/Vinke_MA_BMS.pdf
Zhang, M.; Pei, A. J. 2016. Synchromodal versus intermodal freight transport: the case of Rotterdam hinterland container transport, in TRB 95th Annual Meeting Compendium of Papers, 10–14 January 2016, Washington, DC, US, 1–19.
Zuidwijk, R. 2015. Are we connected? Ports in Global Networks. Erasmus Research Institute of Management, Erasmus University Rotterdam, Netherlands. 44 p. Available from Internet: https://repub.eur.nl/pub/79091/EIA2015064L-IS9789058924353.pdf
Zunder, T. H.; Islam, D. M. Z.; Mortimer, P. N.; Aditjandra, P. T. 2013. How far has open access enabled the growth of cross border pan European rail freight? A case study, Research in Transportation Business & Management 6: 71–80. https://doi.org/10.1016/j.rtbm.2012.12.005
Aditjandra, P. T.; Zunder, T. H.; Islam, D. M. Z.; Palacin, R. 2016. Green rail transportation: improving rail freight to support green corridors, in H. Psaraftis (Ed.). Green Transportation Logistics, 413–454. https://doi.org/10.1007/978-3-319-17175-3_12
Aditjandra, P. T.; Zunder, T. H.; Islam, D. M. Z.; Vanaale, E. 2012. Investigating freight corridors towards low carbon economy: evidence from the UK, Procedia – Social and Behavioral Sciences 48: 1865–1876. https://doi.org/10.1016/j.sbspro.2012.06.1161
Agbo, A. A.; Zhang, Y. 2017. Sustainable freight transport optimisation through synchromodal networks, Cogent Engineering 4(1): 1421005. https://doi.org/10.1080/23311916.2017.1421005
Alessandri, A.; Sacone, S.; Siri, S. 2007. Modelling and optimal receding-horizon control of maritime container terminals, Journal of Mathematical Modelling and Algorithms 6(1): 109–133. https://doi.org/10.1007/s10852-006-9052-3
ALICE. 2015. Corridors, Hubs and Synchromodality: Research & Innovation Roadmap. Alliance for Logistics Innovation through Collaboration in Europe (ALICE). 44 p. Available from Internet: http://www.etp-logistics.eu/?page_id=79
Ayed, H.; Habbas, Z.; Khadraoui, D.; Galvez-Fernandez, C. 2011. A parallel algorithm for solving time dependent multimodal transport problem, in 2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC), 5–7 October 2011, Washington, DC, US, 722–727. https://doi.org/10.1109/ITSC.2011.6082973
Behdani, B.; Fan, Y.; Wiegmans, B.; Zuidwijk, R. 2016. Multi-modal schedule design for synchromodal freight transport systems, European Journal of Transport and Infrastructure Research 16(3): 424–444.
Bol Raap, W. 2016. The Design of a Common Data Model for Generic Synchromodal Cargo-Tracking in Logistics Using Web Scraping and Big & Open Data. Master Thesis. University of Twente, Netherlands. 160 p. Available from Internet: https://essay.utwente.nl/69690/1/BolRaap_MA_EEMCS.pdf
Bontekoning, Y. M.; Macharis, C.; Trip, J. J. 2004. Is a new applied transportation research field emerging? A review of intermodal rail–truck freight transport literature, Transportation Research Part A: Policy and Practice 38(1): 1–34. https://doi.org/10.1016/j.tra.2003.06.001
Brümmerstedt, K.; Van Beek, H. M.; Münsterberg, T. 2017. Comparative analysis of synchromodality in major European seaports, in C. Jahn, W. Kersten, C. M. Ringle (Eds.). Digitalization in Maritime and Sustainable Logistics: City Logistics, Port Logistics and Sustainable Supply Chain Management in the Digital Age, 59–76. https://doi.org/10.15480/882.1477
Buiel, E. F. T.; Visschedijk, G. C.; Lebesque, L. H. E. M.; Lucassen, I. M. P. J.; Van Riessen, B.; Van Rijn, A.; Te Brake, G. M. 2015. Synchro mania – design and evaluation of a serious game creating a mind shift in transport planning, in 46th International Simulation and Gaming Association Conference, ISAGA 2015, 18–25 July 2015, Kyoto, Japan, 1–12.
Ceder, A.; Golany, B.; Tal, O. 2001. Creating bus timetables with maximal synchronization, Transportation Research Part A: Policy and Practice 35(10): 913–928. https://doi.org/10.1016/S0965-8564(00)00032-X
Chen, S.; Leng, Y.; Mao, B.; Liu, S. 2014. Integrated weight-based multi-criteria evaluation on transfer in large transport terminals: a case study of the Beijing south railway station, Transportation Research Part A: Policy and Practice 66: 13–26. https://doi.org/10.1016/j.tra.2014.04.015
Chen, S.; Pham, V. K.; Chen, J. K. 2016. Evaluating and selecting the best outsourcing service country in East and Southeast Asia: an AHP approach, Journal of Testing and Evaluation 44(1): 89–101. https://doi.org/10.1520/JTE20140065
Cruijssen, F.; Dullaert, W.; Fleuren, H. 2007. Horizontal cooperation in transport and logistics: a literature review, Transportation Journal 46(3): 22–39.
Defares, D. 2011. Exploration of Future Container Transport to and from the Dutch Hinterland: Assessing the Need for Future Policies. Master Thesis. Delft University of Technology, Netherlands. 226 p. Available from Internet: https://repository.tudelft.nl/islandora/object/uuid:a834577a-f4a3-4741-8185-267e51165566/datastream/OBJ
Dolinsek, M.; Hartl, S.; Hartl, T.; Hintergräber, B.; Hofbauer, V.; Hrusovsky, M.; Maierbrugger, G.; Matzner, B.; Putz, L.-M.; Sattler, M.; Schweighofer, J.; Seemann, L.; Simoner, M.; Slavicek, D. 2013. Manual on Danube Navigation. Österreichische Wasserstraßen-Gesellschaft mbH, Vienna. 218 p. Available from Internet: http://ines-danube.info/goto.php?target=file_1545_download&client_id=viailias4
Dong, C.; Boute, R.; McKinnon, A.; Verelst, M. 2018. Investigating synchromodality from a supply chain perspective, Transportation Research Part D: Transport and Environment 61: 42–57. https://doi.org/10.1016/j.trd.2017.05.011
EWTCA. 2018. East-West Transport Corridor Association. Vilnius, Lithuania. Available from Internet: http://www.ewtcassociation.net
Fan, Y. 2013. The Design of a Synchromodal Freight Transport System: Applying Synchromodality to Improve the Performance of Current Intermodal Freight Transport System. Master Thesis. Delft University of Technology, Netherlands. 97 p. Available from Internet: https://repository.tudelft.nl/islandora/object/uuid:ed9d790c-73bd-4afa-9401-04748a5c8ddf/datastream/OBJ/
Farhan, J.; Fwa, T. F. 2009. Pavement maintenance prioritization using analytic hierarchy process, Transportation Research Record: Journal of the Transportation Research Board 2093: 12–24. https://doi.org/10.3141/2093-02
Fawcett, S. E.; Osterhaus, P.; Magnan, G. M.; Brau, J. C., McCarter, M. W. 2007. Information sharing and supply chain performance: the role of connectivity and willingness, Supply Chain Management: an International Journal 12(5): 358–368. https://doi.org/10.1108/13598540710776935
Geerlings, H.; Kuipers, B.; Zuidwijk, R. 2017. Ports and Networks: Strategies, Operations and Perspectives. Routledge. 406 p. https://doi.org/10.4324/9781315601540
Hauge, J. B.; Boschian, V.; Pagenelli, P. 2011. Synchronization of material and information flows in intermodal freight transport: an industrial case study, in H. J. Kreowski, B. Scholz-Reiter, K. D. Thoben (Eds.). Dynamics in Logistics, 227–234. https://doi.org/10.1007/978-3-642-11996-5_20
Heo, E.; Kim, J.; Boo, K.-J. 2010. Analysis of the assessment factors for renewable energy dissemination program evaluation using fuzzy AHP, Renewable and Sustainable Energy Reviews 14(8): 2214–2220. https://doi.org/10.1016/j.rser.2010.01.020
Hintjens, J.; Vanelslander, T.; Van der Horst, M.; Kuipers, B. 2015. The evolution of the economic centre of gravity and the consequences for gateway ports and hinterland connections: the case of the Flemish-Dutch Delta, in Proceedings of the IAME Annual Conference 2015, International Association of Maritime Economists, 24–26 August 2015, Kuala Lumpur, Malaysia, 1–23.
Hofman, W. 2016. Data sharing requirements of supply – and logistics innovations – towards a maturity model, in Information Systems, Logistics, and Supply Chain: 6th International Conference, ILS 2016, 1–4 June 2016, Bordeaux, France, 1–8.
Hofman, W. J.; Bastiaansen, H. J. M. 2014. Roadmap towards a smart logistics ecosystem, in 7th European Conference on ICT for Transport Logistics – ECITL 2014, 5–7 November 2014, Dortmund, Germany, 1–12.
Hofman, W.; Bastiaansen, H.; Van den Berg, J.; Pruksasri, P. 2012. A platform for secure, safe, and sustainable logistics, in Proceedings of the e-Freight 2012 Conference, 9–10 May 2012, Delft, Netherlands, 1–18.
INTERREG BSR. 2019. INTERREG Baltic Sea Region Programme. Available from Internet: https://www.interreg-baltic.eu
Intihar, M.; Kramberger, T.; Dragan, D. 2017. Container throughput forecasting using dynamic factor analysis and ARIMAX model, Promet – Traffic & Transportation 29(5): 529–542. https://doi.org/10.7307/ptt.v29i5.2334
Jarašūnienė, A.; Greičiūnė, L.; Šakalys, A. 2012. Research of competitive environment of Klaipėda Seaport comparing to other seaports in the eastern Baltic Sea region, Transport 27(1): 5–13. https://doi.org/10.3846/16484142.2012.662911
Kapetanis, G. N.; Psaraftis, H. N.; Spyrou, D. 2016. A Simple synchro – modal decision support tool for the Piraeus container terminal, Transportation Research Procedia 14: 2860–2869. https://doi.org/10.1016/j.trpro.2016.05.403
Kendall, M.; Gibbons, J. D. 1990. Rank Correlation Methods. Oxford University Press. 272 p.
Kos, S.; Vukić, L.; Brčić, D. 2017. Comparison of external costs in multimodal container transport chain, Promet – Traffic & Transportation 29(2): 243–252. https://doi.org/10.7307/ptt.v29i2.2183
Lucassen, I. M. P. J.; Dogger, T. 2012. Synchromodality Pilot Study. Identification of Bottlenecks and Possibilities for a Network between Rotterdam, Moerdijk and Tilburg. TNO Report 2012 P10128, Delft, Netherlands.
Maskeliūnaitė, L.; Sivilevičius, H.; Podvezko, V. 2009. Research on the quality of passenger transportation by railway, Transport 24(2): 100–112. https://doi.org/10.3846/1648-4142.2009.24.100-112
Mason, R.; Lalwani, C.; Boughton, R. 2007. Combining vertical and horizontal collaboration for transport optimisation, Supply Chain Management: an International Journal 12(3): 187–199. https://doi.org/10.1108/13598540710742509
Miletić, G.-M.; Gašparović, S.; Carić, T. 2017. Analysis of sociospatial differentiation in transport mode choice preferences, Promet – Traffic & Transportation 29(2): 233–242. https://doi.org/10.7307/ptt.v29i2.2198
Montgomery, D. C. 2013. Design and Analysis of Experiments. Willey. 752 p.
Muller, G. 1999. Intermodal Freight Transportation. Eno Transportation Foundation. 502 p.
Nabais, J. L.; Negenborn, R. R.; Botto, M. A. 2013. Hierarchical model predictive control for optimizing intermodal container terminal operations, in 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013), 6–9 October 2013, The Hague, Netherlands, 708–713. https://doi.org/10.1109/ITSC.2013.6728314
Norman, B. A.; Rajgopal, J.; Lim, J.; Gorham, K.; Haidari, L.; Brown, S. T.; Lee, B. Y. 2015. Modular vaccine packaging increases packing efficiency, Vaccine 33(27): 3135–3141. https://doi.org/10.1016/j.vaccine.2015.04.091
Overbeek, S.; Klievink, B.; Hesketh, D.; Heijmann, F.; Tan, Y.-H. 2011. A web-based data pipeline for compliance in international trade, in Proceedings of the 1st Workshop on IT Innovations Enabling Seamless and Secure Supply Chains (WITNESS-2011), 29 August 2011, Delft, Netherlands, 32–48.
Palevičius, V.; Podviezko, A.; Sivilevičius, H.; Prentkovskis, O. 2018. Decision-aiding evaluation of public infrastructure for electric vehicles in cities and resorts of Lithuania, Sustainability 10(4): 904. https://doi.org/10.3390/su10040904
Palevičius, V.; Sivilevičius, H.; Podviezko, A.; Griškevičiūtė-Gečienė, A.; Karpavičius, T. 2017. Evaluation of park and ride facilities at communication corridors in a middle-sized city, Economic Computation and Economic Cybernetics Studies and Research 51(2): 231–248.
Pedersen, M. B.; Crainic, T. G.; Madsen, O. B. G. 2009. Models and tabu search metaheuristics for service network design with asset-balance requirements, Transportation Science 43(2): 158–177. https://doi.org/10.1287/trsc.1080.0234
Pfoser, S.; Putz, L.-M.; Schauer, O.; Prandtstetter, M. 2017. Facilitating synchromodal transport through interconnected, modular and intelligent transport units, in Proceedings of the 24th EurOMA Conference, 1–5 July 2017, Edinburgh, Scotland, UK, 1–9.
Pfoser, S.; Treiblmaier, H.; Schauer, O. 2016. Critical success factors of synchromodality: results from a case study and literature review, Transportation Research Procedia 14: 1463–1471. https://doi.org/10.1016/j.trpro.2016.05.220
Pleszko, J. 2012. Multi-variant configurations of supply chains in the context of synchromodal transport, LogForum 8(4): 287–295.
Pomponi, F.; Fratocchi, L.; Tafuri, S. R. 2015. Trust development and horizontal collaboration in logistics: a theory based evolutionary framework, Supply Chain Management: an International Journal 20(1): 83–97. https://doi.org/10.1108/SCM-02-2014-0078
Putz, L.-M.; Haider, C.; Haller, A.; Schauer, O. 2015. Identifying key enablers for synchromodal transport chains in Central Europe, in WCTRS SIG2 2015 Conference: the Port and Maritime Sector: Key Developments and Challenges, 11–15 May 2015, Antwerp, Belgium, 1–19.
Ramanathan, R. 2001. A note on the use of the analytic hierarchy process for environmental impact assessment, Journal of Environmental Management 63(1): 27−35. https://doi.org/10.1006/jema.2001.0455
Reis, V. 2015. Should we keep on renaming a +35-year-old baby?, Journal of Transport Geography 46: 173–179. https://doi.org/10.1016/j.jtrangeo.2015.06.019
Rodrigue, J.-P. 1999. Globalization and the synchronization of transport terminals, Journal of Transport Geography 7(4): 255–261. https://doi.org/10.1016/S0966-6923(99)00018-6
Rossi, S. 2012. Challenges of Co-Modality in a Collaborative Environment. CO³ Position Paper, Deliverable D2.3, Cranfield School of Management, UK. 41 p. Available from Internet: http://www.co3-project.eu/wo3/wp-content/up loads/2011/12/CO3-D-2-3-Position-Paper-on-Co-modality_def.pdf
Roth, M.; Klarmann, A.; Franczyk, B. 2013. Future logistics – challenges, requirements and solutions for logistics networks, International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering 7(10): 898–903.
Saaty, T. L. 1980. The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill. 287 p.
Saaty, T. L.; Shang, J. S. 2011. An innovative orders-of-magnitude approach to AHP-based mutli-criteria decision making: prioritizing divergent intangible humane acts, European Journal of Operational Research 214(3): 703–715. https://doi.org/10.1016/j.ejor.2011.05.019
Šakalys, R.; Batarlienė, N. 2017. Research on intermodal terminal interaction in international transport corridors, Procedia Engineering 187: 281–288. https://doi.org/10.1016/j.proeng.2017.04.376
Sivilevičius, H. 2011a. Application of expert evaluation method to determine the importance of operating asphalt mixing plant quality criteria and rank correlation, The Baltic Journal of Road and Bridge Engineering 6(1): 48–58. https://doi.org/10.3846/bjrbe.2011.07
Sivilevičius, H. 2011b. Modelling the interaction of transport system elements, Transport 26(1): 20–34. https://doi.org/10.3846/16484142.2011.560366
Sivilevičius, H.; Maskeliūnaitė, L. 2018. Multiple criteria evaluation and the inverse hierarchy model for justifying the choice of rail transport mode, Promet – Traffic & Transportation 30(1): 57–69. https://doi.org/10.7307/ptt.v30i1.2417
Sivilevičius, H.; Maskeliūnaitė, L. 2010. The criteria for identifying the quality of passengers’ transportation by railway and their ranking using AHP method, Transport 25(4): 368–381. https://doi.org/10.3846/transport.2010.46
Solvay, A. F.; Haberstroh, M.; Thelen, S.; Schilberg, D.; Jeschke, S. 2016. New intermodal loading units in the European transport market, in S. Jeschke, I. Isenhardt, F. Hees, K. Henning (Eds.). Automation, Communication and Cybernetics in Science and Engineering 2015/2016, 687–697. https://doi.org/10.1007/978-3-319-42620-4_52
Stanujkic, D. 2016. An extension of the ratio system approach of MOORA method for group decision-making based on interval-valued triangular fuzzy numbers, Technological and Economic Development of Economy 22(1): 122–141. https://doi.org/10.3846/20294913.2015.1070771
Steadieseifi, M.; Dellaert, N. P.; Nuijten, W.; Van Woensel, T.; Raoufi, R. 2014. Multimodal freight transportation planning: a literature review, European Journal of Operational Research 233(1): 1–15. https://doi.org/10.1016/j.ejor.2013.06.055
Tavasszy, L. A.; Behdani, B.; Konings, R. 2015. Intermodality and Synchromodality. 15 p. https://doi.org/10.2139/ssrn.2592888
Tavasszy, L.; Janssen, R.; Van der Lugt, L.; Hagdorn, L. 2010. Verkenning Synchromodaal Transportsysteem. TNO Hoofdrapport TNO-034-DTM-2010-04431. Nederlandse Organisatie voor Toegepast Natuurwetenschappelijk Onderzoek (TNO). 56 p. (in Dutch).
Taylan, O.; Bafail, A. O.; Abdulaal, R. M. S.; Kabli, M. R. 2014. Construction projects selection and risk assessment by fuzzy AHP and fuzzy TOPSIS methodologies, Applied Soft Computing 17: 105–116. https://doi.org/10.1016/j.asoc.2014.01.003
TENTacle. 2019. New Transport Corridor Project in the Baltic Sea Region. Available from Internet: http://www.tentacle.eu
Topsector Logistiek. 2011. Partituur naar de top. Adviesrapport Topteam Logistiek. 36 p. (in Dutch). Available from Internet: http://www.infrasite.nl/documents/bedrijven/1889/Adviesrapport%20TopTeam%20Logistiek%202011.pdf
Topsector Logistiek. 2018. Platform Synchromodaliteit (in Dutch). Available from Internet: http://www.synchromodaliteit.nl/definitie
Van der Burgh, M. 2012. Synchromodal Transport for the Horticulture Industry: Requirements for Implementation in the Westland-Oostland Greenport. Master Thesis. Erasmus University Rotterdam, Netherlands. 89 p. Available from Internet: https://thesis.eur.nl/pub/12943/MA-thesis%20M.%20van%20der%20Burgh%20(321516).pdf
Van Gool, M. J. 2012. Travel Time Reduction through Real-Time Container Truck Assignment. Master Thesis. Radboud University, Netherlands. 140 p. Available from Internet: https://theses.ubn.ru.nl/bitstream/handle/123456789/195/Gool%2c_M.J._van_1.pdf?sequence=1
Van Riessen, B.; Negenborn, R. R.; Dekker, R.; Lodewijks, G. 2013. Service Network Design for an Intermodal Container Network with Flexible due Dates/Times and the Possibility of Using Subcontracted Transport. Erasmus School of Economics, Erasmus University Rotterdam, Netherlands. 16 p. Available from Internet: https://repub.eur.nl/pub/40343
Van Stijn, E.; Hesketh, D.; Tan, Y.-H.; Klievink, B.; Overbeek, S.; Heijmann, F.; Pikart, M.; Buterly, T. 2011. The data pipeline, in Global Trade Facilitation Conference 2011 – Connecting International Trade: Single Windows and Supply Chains in the Next Decade, 12–13 December, Geneva, Switzerland.
Veenstra, A.; Zuidwijk, R.; Van Asperen, E. 2012. The extended gate concept for container terminals: Expanding the notion of dry ports, Maritime Economics & Logistics 14(1): 14–32. https://doi.org/10.1057/mel.2011.15
Vinke, P. J. 2016. Dynamic Consolidation Decisions in a Synchromodal Environment: Improving the Synchromodal Control Tower. Master Thesis. University of Twente, Netherlands, 102 p. Available from Internet: https://essay.utwente.nl/69109/1/Vinke_MA_BMS.pdf
Zhang, M.; Pei, A. J. 2016. Synchromodal versus intermodal freight transport: the case of Rotterdam hinterland container transport, in TRB 95th Annual Meeting Compendium of Papers, 10–14 January 2016, Washington, DC, US, 1–19.
Zuidwijk, R. 2015. Are we connected? Ports in Global Networks. Erasmus Research Institute of Management, Erasmus University Rotterdam, Netherlands. 44 p. Available from Internet: https://repub.eur.nl/pub/79091/EIA2015064L-IS9789058924353.pdf
Zunder, T. H.; Islam, D. M. Z.; Mortimer, P. N.; Aditjandra, P. T. 2013. How far has open access enabled the growth of cross border pan European rail freight? A case study, Research in Transportation Business & Management 6: 71–80. https://doi.org/10.1016/j.rtbm.2012.12.005