Scenarios for the Development of Multimodal Transport in the TRITIA Cross-Border Area
Abstract
:1. Introduction
- What factors have the greatest impact on the development of multimodal transport within the cross-border area Poland—Czech Republic—Slovakia in the 2030 perspective?
- What are the prospects for the development of multimodal transport in the TRITIA cross-border area in 2030 and how do they depend on cooperation and joint undertakings?
- What trends in key factors describe the presented prospects for the development of multimodal transport in the area of TRITIA and what is the probability of the particular scenarios emerging in the 2030 perspective?
- Which group of projects is required to be implemented when a specific scenario occurs?
2. Theoretical Background
2.1. Multimodal Freight Transport within the Cross-Border Areas
- the standardisation of technical norms for multimodal transport infrastructure,
- compatibility of various branches of transport,
- compatibility of tax regulations,
- the application of the principles of free competition,
- combating discrimination against carriers with regard to their place of establishment,
- the use of standardised ITS solutions.
- Interoperability—the necessity to adapt the infrastructure to a condition where it is possible to execute orders on both sides of the border by the same means of transport, according to the same principles;
- Interconnectivity—the necessity to increase the number, quality and efficiency of transport connections in the provision of cross-border services;
- Intermodality—the endeavour to enable a change between means and modes of transport at or near the border.
2.2. Scenarios as a Method for Anticipating the Future
- “… an internally consistent view of what the future might be—not a forecast, but one possible future outcome” [54];
- “… a tool for ordering one’s perceptions about alternative future environments in which one’s decisions might be played out” [55];
- “… part of strategic planning which relates to the tools and technologies for managing the uncertainties of the future” [56];
- “… a strategic planning tool” [48];
- “… a set of reasonably plausible, but structurally different futures” [57];
- “… a description of a possible set of events that might reasonably take place. The main purpose of developing scenarios is to stimulate thinking about possible occurrences, assumptions relating these occurrences, possible opportunities and risks, and courses of action” [58];
- “… a description of a future situation and the course of events which allows one to move forward from the original situation to the future” [45];
- “… alternative futures resulting from a combination of trends in driving factors and policies” [59];
- “… a complete combination of levels of impact factors for all factors. Thus, a scenario is a vector” [60];
- “… an overall picture of the future and views of the interactions among several trends and events in the future” [61];
- “… when developing and analysing scenarios, it should be encouraged to consider options beyond the traditional operational and conceptual comfort zone of the organisation” [62];
- “… future studies help to see the present differently and these are a devise for ‘disturbing the present’” [63];
- “… scenarios help us to be prepared for the future and innovate the future” [64].
2.3. Transport Development Scenarios
- point estimation, in cases of low level of complexity and low level of uncertainty and randomness;
- deterministic model, in cases of high level of complexity and low level of uncertainty and randomness;
- confidence interval, in cases of low complexity of the issue and high level of uncertainty and randomness;
- development scenario (or stochastic model), in cases of high complexity of the issue and high level of uncertainty and randomness.
- A: Favourable scenario for rail mode
- B: Less favourable scenario for rail mode
3. Methodology of the Study
- What factors have the greatest impact on the development of multimodal transport within the cross-border area of Poland—Czech Republic—Slovakia in the 2030 perspective?
- What are the visions for the development of multimodal transport in the TRITIA cross-border area in the 2030 perspective and how do they depend on collaboration and joint activities?
- What trends in key factors describe the presented visions for the development of multimodal transport in the TRITIA area, and what is the probability of the particular scenarios occurring in the 2030 perspective?
- What group of projects is necessary to be implemented when a specific scenario occurs?
- developing a vision of the future in four scenarios,
- applying qualitative variables,
- analyses of trends to evaluate the importance and probability of occurrence,
- detailed description of the tools used at all stages,
- utilisation of qualitative methods (expert analyses, trend analyses).
- Identification of factors affecting the development of multimodal transport within the cross-border area
- Evaluation of identified factors affecting the development of multimodal transport within the cross-border area
- Identification of a set of key factors determining the development of multimodal transport combined with the characteristics of the impact of changes in each factor on the development of multimodal transport within the cross-border area
- Identification, verification and generation of new projects essential for the development of multimodal transport within the cross-border area
- -
- Identification of infrastructure projects which have an impact on the development of multimodal transport on the border between Poland and Slovakia, Poland and Czech Republic, Slovakia and Czech Republic. The selected projects were based on an extensive analysis of strategic programmes written at international, national or regional level, with a particular focus on the development of multimodal transport for the TRITIA area. It was presumed that projects may be in the process of implementation or are planned for implementation.
- -
- Identification of new projects developing multimodal transport in the TRITIA area, which are a proposal to overcome bottlenecks and respond to the needs of key stakeholders (at national and regional level).
- Identification of a vision for the development of multimodal transport within the cross-border area
- Passive, which consists of passive submission to the upcoming reality.
- Reactive, which consists of violent activities that mitigate the effects of unexpected events.
- Preactive, which consists of preparing for the expected course of events.
- Proactive, which consists of initiating activities to generate the desired changes.
- Conceptual work of the analytical team
4. Results
4.1. Identification of Key Factors for the Development of Multimodal Freight Transport within the Cross-Border Area
4.2. Evaluation of Factors (Strength of Impact and Probability) Affecting the Development of Multimodal Transport within the Cross-Border Area
4.3. Identification of a Set of Key Factors Determining the Development of Multimodal Transport
4.4. Identification, Verification, and Generation of New Projects Essential for the Development of Multimodal Transport within the Cross-Border Area
4.5. Identification of a Vision for the Development of Multimodal Transport within the Cross-Border Area
4.6. Conceptual Work of the Analytical Team
- A.
- Characteristics of the scenarios as factors determining the development of multimodal transport within the cross-border area and the concept of embedding the scenarios in the criteria for cooperation and project support.
- activities promoting the reduction of the transport intensity of the economy, i.e., the demand for road-only freight transport;
- activities promoting better organisation of transport services (e.g., degree of use of logistics and intelligent technologies, especially traffic management technologies, organisation of last mile transport);
- modernisation and creation of new railways and waterways, including an increase in the separation of linear infrastructure for freight and passenger transport (strength—2.33), for better freight flows and capacity;
- reduction of train journey times and therefore increase the competitiveness of rail transport against other less environmentally friendly modes of transport;
- activities improving technical solutions for vehicles (powertrain and fuel) and infrastructure.
- B.
- Estimation of the probability of each scenario occurrence based on the probability defined for each trend determining the scenario
- C.
- Description of scenarios from the perspective of the implemented projects and cooperation
- Processing the knowledge about material flows in the TRITIA area in different branches of transport and sharing this knowledge with stakeholders,
- Stimulating multimodal transport development solutions and projects that support innovation and sustainability,
- Initiating projects to reduce transport time using non-road branches of transport, and to reduce delays and improve the flexibility of material flows by these branches of transport,
- Modelling material flows within the cross-border area based on knowledge resources and designing new development scenarios in accordance with changes in the environment of the multimodal freight transport network in the TRITIA area.
5. Discussion
6. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
- Walancik, M.; Kurowska-Pysz, J. Cross-border cooperation of local governments in the field of safety in Polish-Slovak projects. Theoretical approaches and a case study. J. Def. Resour. Manag. 2015, 6, 45–54. [Google Scholar]
- Guo, R. Studying Borders. Evaluating Border Effects. Cross-Border Resource Management, 3rd ed.; Elsevier: Amsterdam, The Netherlands, 2018. [Google Scholar]
- Castanho, R.A.; Cabezas, J.; Fernández-Pozo, L. Territorial Planning and Development Tools in Transboundary Areas. Study Case of the OTALEX-C Space. In Conference Paper, Proceedings of the Institute of Geography and Spatial Planning—University of Lisbon & International Journal of E-Planning Research, Lisbon, Portugal, 31 March–1 April 2016; Institute of Geography and Spatial Planning, University of Lisbon: Lisbon, Portugal, 2016. [Google Scholar]
- Castanho, R.A.; Loures, L.; Cabezas, J.; Fernández-Pozo, L. Cross-Border Cooperation (CBC) in Southern Europe—An Iberian Case Study. The Eurocity ElvasBadajoz. Sustainability 2017, 9, 360. [Google Scholar] [CrossRef] [Green Version]
- Castanho, R.A.; Cabezas, J.; Fernández-Pozo, L.; Vulevic, A.; Aranjo Gómez, J.; Mart n Gallardo, J.; Loures, L. Common Regional Development Strategies on Iberian Territory. Envisioning New Horizons: Post 2020. In Enfo Uesen la Planificación Territorial y Urban Stica; Thomson Reuteurs Aranzadi: Pamplona, Spain, 2018. [Google Scholar]
- Bufon, M.; Minghi, J.; Paasi, A. (Eds.) The New European Frontiers: Social and Spatial (Re) Integration Issues in Multicultural and Border Regions; Cambridge Scholars Publishing: Cambridge, UK, 2014. [Google Scholar]
- Balogh, P.; Pete, M. Bridging the Gap: Cross-border Integration in the Slovak–Hungarian Borderland around Štúrovo–Esztergom. J. Borderl. Stud. 2018, 33, 605–622. [Google Scholar] [CrossRef]
- Telle, S.; Svensson, S. An organizational ecology approach to EGTC creation in East Central Europe. Reg. Fed. Stud. 2020, 30, 47–71. [Google Scholar] [CrossRef]
- Böhm, H.; Opioła, W. Czech–Polish Cross-Border (Non) Cooperation in the Field of the Labor Market: Why Does It Seem to Be Un-De-Bordered? Sustainability 2019, 11, 2855. [Google Scholar] [CrossRef] [Green Version]
- Wasiluk, A. Companies’ Understanding of Trans-border Cooperation: An Empirical Study in Poland and Republic of Belarus. In Eurasian Business Perspectives, Eurasian Studies in Business and Economics; Bilgin Mehmet Huseyin, B.M., Hakan, D., Ender, D., Ugur, C., Eds.; Springer: Berlin/Heidelberg, Germany, 2019; Volume 10, pp. 309–324. [Google Scholar]
- Lundén, T. Border Regions and Cross-Border Cooperation in Europe. A Theoretical and Historical Approach. In European Territorial Cooperation. Theoretical and Empirical Approaches to the Process and Impacts of Cross-Border and Transnational Cooperation in Europe; Medeiros, E., Ed.; Springer: Berlin/Heidelberg, Germany, 2018; pp. 97–113. [Google Scholar]
- Regulation No 1315/2013 of the European Parliament and of the Council; EU: Brussels, Belgium, 2013.
- Regulation No 1316/2013 of the European Parliament and of the Council; EU: Brussels, Belgium, 2013.
- Bodewig, K. Baltic—Adriatic. Third Work Plan of the European Coordinator; European Commission: Brussels, Belgium, 2018. [Google Scholar]
- White Paper. Roadmap to a Single European Transport Area—Towards a Competitive and Resource Efficient Transport System; COM (2011); European Environment Agency: Brussels, Belgium, 2011; p. 144.
- Kozerska, M. Transport intermodalny w Polsce—Szanse i bariery rozwoju. Logistyka 2014, 3, 3200–3205. [Google Scholar]
- Dohn, K.; Knop, L.; Kramarz, M.; Przybylska, E. Transport Intermodalny w Kontekście Rozwoju Regionalnego, Wyd; Dom Organizatora: Toruń, Poland, 2019. [Google Scholar]
- Jacyna-Gołda, I.; Żak, J.; Gołębiowski, P. Models of traffic flow distribution for various scenarios of the development of proecological transport system. Arch. Transp. 2014, 32, 17–28. [Google Scholar] [CrossRef]
- Pernestål, A.; Engholma, A.; Bemlerb, M.; Gidofalvia, G. How Will Digitalization Change Freight Transportation? Future Scenarios for the Digitized Freight Transportation Landscape with Sweden as a Case Study; Project presentation; KTH Royal Institute of Technology: Stockholm, Sweden, 2019. [Google Scholar]
- Bäumler, I. Scenario based analysis for intelligent transportation systems for road freight transport. In Proceedings of the 3rd Interdisciplinary Conference on Production, Logistics and Traffic (ICPLT), Darmstadt, Germany, 25–26 September 2017. [Google Scholar]
- Blois, H.D.; Martins, R.S. A model of integration among prediction tools: Applied study to road freight transportation. Rev. Adm. 2017, 52, 3–14. [Google Scholar] [CrossRef] [Green Version]
- Brand, C.; Anable, J.; Ketsopoulou, I.; Watson, J. Road to zero or road to nowhere? Disrupting transport and energy in a zero carbon world. Energy Policy 2020, 139, 1–26. [Google Scholar] [CrossRef]
- European Commission. Communication from the Commission to the European Parliament, the Council, the European Court of Justice, the Court of Auditors, the European Investment Bank, the European Economic and Social Committee and to the Committee of the Regions. A Growth Package for Integrated European Infrastructures; COM (2011) 676 Final Version; European Commission: Brussels, Belgium, 2011. [Google Scholar]
- Ricq, C. Handbook on Transfrontier Co-Operation for Local and Regional Authorities in Europe; Council of Europe: Strasbourg, France, 2006. [Google Scholar]
- Trans-European Networks—Guidelines. Fact Sheets on the European Union—2020. Available online: https://www.europarl.europa.eu/ftu/pdf/en/FTU_3.5.1.pdf (accessed on 15 May 2020).
- Roider, O.; Sammer, G.; Riegler, S.; Klementschitz, R.; Bezak, B.; Balko, G. Challenges of border-crossing transport demand surveys—Methodical solutions and experiences with their organization to achieve high quality, an UE-perspective. Transp. Res. 2018, 32, 394–403. [Google Scholar]
- Semenov, I. Wybrane aspekty rozwoju transportu i logistyki w regionach przygranicznych. Logistyka 2014, 3, 5645–5646. [Google Scholar]
- Meersman, H.; Ehrler, V.C.; Bruckmann, D.; Chen, M.; Francke, J.; Hill, P.; Jackson, C.; Klauenberg, J.; Kurowski, M.; Seidel, S.; et al. Challenges and future research needs towards international freight transport modelling. Case Stud. Transp. Policy 2016, 4, 3–8. [Google Scholar] [CrossRef]
- Gamon, W.; Naranjo Gómez, J.M. Main Problems of Railway Cross-Border Transport Between Poland, Germany and Czech Republic. Sustainability 2019, 11, 4900. [Google Scholar] [CrossRef] [Green Version]
- Nie, T.; Ye, K. Demystifying the barriers to transport infrastructure project development in fast developing regions: The case of China. Sustainability 2017, 9, 1915. [Google Scholar] [CrossRef] [Green Version]
- Ližbetin, J. Methodology for determining the location of intermodal transport terminals for the development of sustainable transport systems: A case study from Slovakia. Sustainability 2019, 11, 1230. [Google Scholar] [CrossRef] [Green Version]
- Stoilova, S.; Munier, N.; Kendra, M.; Skrúcaný, T. Multi-criteria evaluation of railway network performance in countries of the TEN-T Orient-East med corridor. Sustainability 2020, 12, 1482. [Google Scholar] [CrossRef] [Green Version]
- Mun, S.; Nakagawa, S. Pricing and investment of cross-border transport infrastructure. Reg. Sci. Urban Econ. 2010, 40, 228–240. [Google Scholar] [CrossRef] [Green Version]
- Kumar, A.; Anbanandam, R. Evaluating the interrelationships among inhibitors to intermodal railroad freight transport in emerging economies: A multi-stakeholder perspective. Transp. Res. Part A Policy Pract. 2020, 132, 559–581. [Google Scholar] [CrossRef]
- Medeiros, E. Cross-border cooperation in inner Scandinavia: A territorial impact assessment. Environ. Impact Assess. Rev. 2017, 62, 147–157. [Google Scholar] [CrossRef]
- Caris, A.; Macharis, C.; Janssens, G.K. Decision support in intermodal transport: A new research agenda. Comput. Ind. 2013, 64, 105–112. [Google Scholar] [CrossRef]
- Castanho, R.; Loures, L.; Fernández, J.; Pozo, L. Identifying critical factors for success in Cross Border Cooperation (CBC) development projects. Habitat. Int. 2018, 72, 92–99. [Google Scholar] [CrossRef]
- Fang, X.; Ji, Z.; Chen, Z.; Chen, W.; Cao, C.; Gan, J. Synergy degree evaluation of container multimodal transport system. Sustainability 2020, 12, 1487. [Google Scholar] [CrossRef] [Green Version]
- Ypsilantis, P.; Zuidwijk, R. Collaborative fleet deployment and routing for sustainable transport. Sustainable 2019, 11, 5666. [Google Scholar] [CrossRef] [Green Version]
- Barter, P.A. Multiple dimensions in negotiating the cross-border transport links that connect and divide Singapore and Johor, Malaysia. Asia Pac. Viewp. 2006, 47, 287–303. [Google Scholar] [CrossRef]
- Kononiuk, A.; Nazarko, J. Scenariusze W Antycypowaniu I Kształtowaniu Przyszłości; Oficyna a Wolters Kluwer Business: Warszawa, Poland, 2014. [Google Scholar]
- Brzóska, J. Budowa scenariuszy foresightu kadr nowoczesnej gospodarki. In Foresight Kadr Nowoczesnej Gospodarki; Matusiaka, K.B., Kucińskiego, J., Gryzik, A., Eds.; Polska Agencja Rozwoju Przedsiębiorczości: Warszawa, Poland, 2009; pp. 70–103. [Google Scholar]
- Keenan, M.; Miles, I. A Practical Guide to Regional Foresight; Institute for Prospective Technological Studies, FOREN Network: Seville, Spain, 2001. [Google Scholar]
- Loveridge, D. Foresight: The Art and Science of Anticipating the Future; Taylor & Francis: New York, NY, USA, 2009. [Google Scholar]
- Godet, M. Forefront: How to be rigorous with scenario planning. Foresight 2000, 2, 5–9. [Google Scholar] [CrossRef]
- Kahn, H. Thinking about the Unthinkable; Horizon Press: Hammond, Indiana, 1962. [Google Scholar]
- Kahn, H.; Wiener, A.J. The Year 2000: A Framework for Speculation on the Next Thirty-Three Years; The Macmillan: New York, NY, USA, 1967. [Google Scholar]
- Schoemaker, P.J.H.; van der Heijden, C.A.J.M. Integrating scenarios into strategic planning at royal Dutch/Shell. Strat Lead. 1992, 20, 41–46. [Google Scholar] [CrossRef]
- Bezold, C. Lessons from using scenarios for strategic foresight. Technol. Forecast. Soc. Chang. 2010, 77, 1513–1518. [Google Scholar] [CrossRef]
- Duinker, P.N.; Greig, L. Scenario analysis in environmental impact assessment: Improving explorations of the future. Environ. Impact Assess. Rev. 2007, 27, 206–219. [Google Scholar] [CrossRef]
- Amer, M.; Daim, T.U.; Jetter, A. A review of scenario planning. Futures 2013, 46, 23–40. [Google Scholar] [CrossRef]
- Piirainen, K.; Lindqvist, A. Enhancing business and technology foresight with electronically mediated scenario process. Foresight 2010, 12, 16–37. [Google Scholar] [CrossRef]
- Bradfield, R.; Wright, G.; Burta, G.; Cairns, G.; van der Heijdena, K. The origins and evolution of scenario techniques in long range business planning. Futures 2005, 37, 795–812. [Google Scholar] [CrossRef]
- Porter, M.E. Competitive Advantage; The Free Press: New York, NY, USA, 1985. [Google Scholar]
- Schwartz, P. The Art of the Long View. Planning for the Future in an Uncertain World; Doubleday: New York, NY, USA, 1991. [Google Scholar]
- Ringland, G. Scenario Planning: Managing for the Future; John Wiley & Sons, Inc.: New York, NY, USA, 1998. [Google Scholar]
- Van der Heijden, K. Scenarios: The Art of Strategic Conversation; John Wiley: Chichester, UK, 1996. [Google Scholar]
- Jarke, M.; Bui, X.T.; Carroll, J.M. Scenario Management: An Interdisciplinary Approach. Requir. Eng. 1998, 3, 155–173. [Google Scholar] [CrossRef]
- Fontela, E.; Hingel, A. Scenarios on economic and social cohesion in Europe. Futures 1993, 25, 139–154. [Google Scholar] [CrossRef]
- Scholz, R.W.; Tietje, O. Embedded Case Study Methods: Integrating Quantitative and Qualitative Knowledge; Sage: Thousand Oaks, CA, USA, 2002. [Google Scholar]
- Martino, J.P. A review of selected recent advances in technological forecasting. Technol. Forecast. Soc. Chang. 2003, 70, 719–733. [Google Scholar] [CrossRef]
- De Brabandere, L.; Iny, A. Scenarios and creativity: Thinking in new boxes. Technol. Forecast. Soc. Chang. 2010, 77, 1506–1512. [Google Scholar] [CrossRef]
- Curry, A. From foresight to insight: Using scenarios well. J. Futures Stud. 2009, 13, 119–122. [Google Scholar]
- Hiltunen, E. Scenarios: Process and outcome. J. Futures Stud. 2009, 13, 151–152. [Google Scholar]
- Schoemaker, P.J.H. Multiple scenario development: Its conceptual and behavioral foundation. Strateg. Manag. J. 1993, 14, 193–213. [Google Scholar] [CrossRef]
- Barber, M. Questioning scenarios. J. Futures Stud. 2009, 13, 139–146. [Google Scholar]
- Wack, P. Scenarios—Uncharted waters ahead. Harv. Bus. Rev. 1985, 63, 72–89. [Google Scholar]
- Schoemaker, P.J.H. Scenario planning—A tool for strategic thinking. MIT Sloan Manag. Rev. 1995, 36, 25–40. [Google Scholar]
- Van der Heijden, K. Scenarios, Strategies and the Strategy Process; Nijenrode Research Paper Series (No. 1997-01); Nijenrode University: Breukelen, The Netherlands, 1997. [Google Scholar]
- Saritas, O.; Aylen, J. Using scenarios for roadmapping: The case of clean production. Technol. Forecast. Soc. Change 2010, 77, 1061–1075. [Google Scholar] [CrossRef]
- Bryant, B.P.; Lempert, R.J. Thinking inside the box: A participatory computer-assisted approach to scenario discovery. Technol. Forecast. Soc. Chang. 2010, 77, 34–49. [Google Scholar] [CrossRef]
- Von der Gracht, H.A.; Darkow, I.L. Scenarios for the logistics services industry: A Delphi-based analysis for 2025. Int. J. Prod. Econ. 2010, 127, 46–59. [Google Scholar] [CrossRef]
- Lempert, R. Scenarios that illuminate vulnerabilities and robust responses. Clim. Chang. 2013, 117, 627–646. [Google Scholar] [CrossRef]
- Parker, A.M.; Srinivasan, S.V.; Lempert, R.J.; Berry, S.H. Evaluating simulation-derived scenarios for effective decision support. Technol. Forecast. Soc. Chang. 2015, 91, 64–77. [Google Scholar] [CrossRef]
- Alipour, M.; Hafezi, R.; Amer, M.; Akhavan, A.N. A new hybrid fuzzy cognitive map-based scenario planning approach for Iran’s oil production pathways in the postesanction period. Energy 2017, 135, 851–864. [Google Scholar] [CrossRef]
- Proskuryakova, L.N.; Saritas, O.; Sivaev, S. Global water trends and future scenarios for sustainable development: The case of Russia. J. Clean. Prod. 2018, 170, 867–879. [Google Scholar] [CrossRef]
- Van der Heijden, K. Scenarios: The Art of Strategic Conversation, 2nd ed.; John Wiley & Sons: Hoboken, NJ, USA, 2005. [Google Scholar]
- Bishop, P.; Hines, A.; Collins, T. The current state of scenario development: An overview of techniques. Foresight 2007, 9, 5–25. [Google Scholar] [CrossRef] [Green Version]
- Phadnis, S.; Caplice, C.; Sheffi, Y.; Singh, M. Effect of scenario planning on field experts’ judgment of long-range investment decisions. Strateg. Manag. J. 2015, 36, 1401–1411. [Google Scholar] [CrossRef] [Green Version]
- Ramirez, R.; Churchhouse, S.; Palermo, A.; Hoffmann, J. Using scenario planning to reshape strategy. MIT Sloan Manag. Rev. 2017, 58, 31–37. [Google Scholar]
- Thomas, C.; Chermack, T. Using Scenario Planning to Supplement Supply Chain Risk Assessments. In Revisiting Supply Chain Risk; Zsidisin, G.A., Henke, M., Eds.; Springer: Berlin/Heidelberg, Germany, 2019; pp. 37–51. [Google Scholar]
- Vecchiato, R. Scenario planning, cognition, and strategic investment decisions in a turbulent environment. Long Range Plan. 2019, 52, 101865. [Google Scholar] [CrossRef]
- Marcial, E.L.; Costa, A.J.L. O Uso de Cenários Prospectivos na Estratégia Empresarial:Evidência Especulativa ou Inteligência Competitiva? Eletrônicos Enanpad: Campinas, Brazil, 2012. [Google Scholar]
- Marcial, E.L.; Grumbach, R.J.S. Cenários Prospectivos: Como Construir um Futuro Melhor, 5th ed.; FGV: Rio de Janeiro, Brazil, 2012. [Google Scholar]
- Wright, L.; Fulton, L. Climate change mitigation and transport in developing nations. Transp. Rev. 2005, 25, 691–717. [Google Scholar] [CrossRef]
- Oei, P.; Mendelevitch, R. European Scenarios of Co2 infrastructure investment. Energy J. 2016, 37, 171–192. [Google Scholar] [CrossRef] [Green Version]
- Yang, L.; Wang, Y.; Lian, Y.; Han, S. Factors and scenario analysis of transport carbon didoxide emissions in rapidly—Developing cities. Transp. Res. Part D Transp. Environ. 2020, 80, 102252. [Google Scholar] [CrossRef]
- Knop, L.; Olko, S. Characteristics of clusters in logistics sector in Poland against the background of other clusters. In Conference Proceedings, Proceedings of the 8th Carpathian Logistics Congress. CLC 2018. Logistics, Distribution, Transport & Management, Prague, Czech Republic, 3–5 November 2018; Tanger: Ostrava, Czech Republic, 2019; pp. 318–323. [Google Scholar]
- Johansen, I. Scenario modelling with morphological analysis. Technol. Forecast. Soc. Chang. 2018, 126, 116–125. [Google Scholar] [CrossRef]
- Bäumler, I.; Kotzab, H. Scenario-based development of intelligent transportation systems for road freight transport in Germany. Urban. Freight Transp. Syst. 2020, 183–202. [Google Scholar] [CrossRef]
- Ruciński, A.; Konrad, M. Metoda scenariuszowa w badaniach rozwoju transportu lotniczego do roku 2030. Zeszyty Naukowe Uniwersytetu Gdańskiego. Ekon. Transp. I Logistyka 2014, 52, 73–95. [Google Scholar]
- Blois, H.; Suoza, J. Cenarios prospectivos e a dinamica de sistemas: Proposta de um modelo para o setor calcadista. Rev. Adm. Empresas 2008, 48, 35–45. [Google Scholar] [CrossRef]
- Reggiani, A.; Cattaneo, S.; Janicp, M.; Nijkamp, P. Freight Transport in Europe: Policy Issues and Future Scenarios on Trans-Border Alpine Connections. IATSS Res. 2000, 24, 48–59. [Google Scholar] [CrossRef] [Green Version]
- Hines, A.; Bishop, P. Thinking about the Future: Guidelines for Strategic Foresight; Social Technologies LLC: Washington, DC, USA, 2006. [Google Scholar]
- Kononiuk, A. Metoda scenariuszowa w antycypowaniu przyszłości. Organ. I Kier. 2012, 2, 33–48. [Google Scholar]
- Godet, M. Manual de Prospectiva Estratégica: Da Antecipação à Acção; Don Quixote: Lisbon, Portugal, 1993; Translation from J. Freitas e Silva. [Google Scholar]
- Ryszko, A. Proactive environmental strategy, technological eco-innovation and firm performance—Case of Poland. Sustainability 2016, 8, 156. [Google Scholar] [CrossRef] [Green Version]
- Dohn, K.; Przybyska, E.; Żebrucki, Z. Evaluation of the cross-border area regions potential for the development of intermodal transport. Res. Logist. Prod. 2019, 9, 15–29. [Google Scholar]
- Knop, L.; Kramarz, M. Attractiveness of the region in connection with intermodal transport development. In Sustainable Logistics and Production in Industry 4.0. New Opportunities and Challenges; Grzybowska, K., Awasthi, A., Sawhney, R., Eds.; Springer: Cham, Switzerland, 2020; pp. 197–217. [Google Scholar]
- Godet, M.; Durance, P. La Prospective Stratégique: Pour les Entreprises et les Territoires; Dunod: Paris, France, 2008. [Google Scholar]
- Hong, S.-J.; Kim, T. Determining the Priority of Transport Policies: With a Special Focus on the Data, Envelopment Analysis Using Ranked Voting Data. Transp. Policy Stud. Rev. 2009, 12, 21–28. [Google Scholar]
- Noguchi, H.; Ogawa, M.; Ishii, H. The appropriate total ranking method using DEA for multiple categorized purposes. J. Comput. Appl. Math. 2002, 146, 155–166. [Google Scholar] [CrossRef] [Green Version]
Group | Factors |
---|---|
Economic sphere (E) |
|
Political and legal sphere (PL) |
|
Socio-cultural and environmental sphere (SC) |
|
Technological sphere (T) |
|
Factors Group | Trend | Factor Number | |||||||||||||
1 | 2 | 3 | 4 | 5 | 6 | 7 | |||||||||
Average Impact Strength Rating | Average Probability of a Trend | Average Impact Strength Rating | Average Probability of a Trend | Average Impact Strength Rating | Average Probability of a Trend | Average Impact Strength Rating | Average Probability of a Trend | Average Impact Strength Rating | Average Probability of a Trend | Average Impact Strength Rating | Average Probability of a Trend | Average Impact Strength Rating | Average Probability of a Trend | ||
Economic Sphere | Growth | 1.78 | 0.47 | 2.00 | 0.37 | 2.39 | 0.51 | 1.44 | 0.45 | 2.11 | 0.62 | −1.44 | 0.50 | 2.28 | 0.69 |
Stabilisation | 0.56 | 0.31 | 0.78 | 0.40 | 1.06 | 0.31 | 0.00 | 0.39 | 0.44 | 0.32 | 0.44 | 0.39 | 0.56 | 0.22 | |
Regress | −1.33 | 0.23 | −1.22 | 0.53 | −1.56 | 0.17 | −1.22 | 0.16 | −1.61 | 0.07 | 1.00 | 0.10 | −1.39 | 0.09 | |
Political and Legal Sphere | Growth | 1.83 | 0.48 | 1.44 | 0.51 | 2.00 | 0.54 | 1.89 | 0.39 | 1.89 | 0.44 | 0.50 | 0.36 | 2.06 | 0.39 |
Stabilisation | 0.22 | 0.41 | 0.78 | 0.38 | 0.44 | 0.36 | 0.06 | 0.40 | 0.44 | 0.38 | 0.06 | 0.39 | 0.94 | 0.47 | |
Regress | −1.94 | 0.11 | −1.33 | 0.10 | −1.44 | 0.09 | −2.00 | 0.19 | −1.78 | 0.17 | −1.61 | 0.24 | −1.61 | 0.14 | |
Technological Sphere | Growth | 2.11 | 0.54 | 2.78 | 0.73 | 1.33 | 0.51 | 2.06 | 0.53 | 1.61 | 0.64 | 1.56 | 0.41 | 2.11 | 0.45 |
Stabilisation | 0.44 | 0.38 | 0.39 | 0.23 | 0.39 | 0.38 | 0.89 | 0.43 | 0.50 | 0.30 | 0.11 | 0.39 | 0.67 | 0.52 | |
Regress | −1.56 | 0.08 | −1.67 | 0.04 | −0.72 | 0.11 | −0.89 | 0.04 | −1.00 | 0.06 | −1.44 | 0.19 | −1.56 | 0.03 | |
Socio-Cultural and Environmental Sphere | Growth | 1.61 | 0.16 | 1.44 | 0.30 | 1.94 | 0.63 | 1.28 | 0.38 | 1.33 | 0.59 | −1.06 | 0.48 | −1.61 | 0.53 |
Stabilisation | 0.72 | 0.59 | 0.67 | 0.54 | 0.50 | 0.28 | 0.44 | 0.36 | 0.39 | 0.33 | 0.11 | 0.38 | 0.33 | 0.37 | |
Regress | −0.78 | 0.24 | −0.72 | 0.16 | −1.06 | 0.08 | −0.83 | 0.25 | −0.78 | 0.09 | 0.72 | 0.14 | 0.83 | 0.09 | |
Factors Group | Trend | 8 | 9 | 10 | 11 | 12 | 13 | 14 | |||||||
Average Impact Strength Rating | Average Probability of a Trend | Average Impact Strength Rating | Average Probability of a Trend | Average Impact Strength Rating | Average Probability of a Trend | Average Impact Strength Rating | Average Probability of a Trend | Average Impact Strength Rating | Average Probability of a Trend | Average Impact Strength Rating | Average Probability of a Trend | Average Impact Strength Rating | Average Probability of a Trend | ||
Economic Sphere | Growth | 1.89 | 0.43 | 0.56 | 0.21 | 2.50 | 0.52 | 0.39 | 0.26 | 1.83 | 0.28 | 1.61 | 0.70 | 0.28 | 0.45 |
Stabilisation | 1.17 | 0.34 | 0.33 | 0.47 | −0.11 | 0.42 | 0.44 | 0.54 | 0.78 | 0.53 | 0.50 | 0.22 | −0.17 | 0.38 | |
Regress | −1.17 | 0.22 | −1.06 | 0.31 | −2.00 | 0.06 | −0.94 | 0.20 | −0.94 | 0.19 | −1.28 | 0.08 | −0.89 | 0.17 | |
Political and Legal Sphere | Growth | 1.22 | 0.42 | 1.72 | 0.45 | ||||||||||
Stabilisation | 0.67 | 0.45 | 0.39 | 0.39 | |||||||||||
Regress | −0.72 | 0.12 | −1.22 | 0.15 | |||||||||||
Technological Sphere | Growth | 1.78 | 0.49 | 1.78 | 0.65 | 2.33 | 0.56 | 2.28 | 0.46 | 2.11 | 0.46 | 1.61 | 0.74 | 2.06 | 0.36 |
Stabilisation | 0.39 | 0.42 | 0.44 | 0.28 | 0.72 | 0.38 | 0.94 | 0.44 | 0.78 | 0.47 | 0.61 | 0.19 | −0.11 | 0.48 | |
Regress | −1.56 | 0.09 | −1.17 | 0.07 | −1.72 | 0.06 | −1.56 | 0.10 | −1.28 | 0.06 | −1.22 | 0.07 | −1.94 | 0.16 | |
Socio-Cultural and Environmental Sphere | Growth | 0.94 | 0.31 | ||||||||||||
Stabilisation | 0.56 | 0.47 | |||||||||||||
Regress | −0.89 | 0.22 |
Factor Group | Factor Number | |||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | |
Economic | 0.78 | 0.58 | 0.82 | 0.57 | 0.70 | 0.52 | 0.80 | 0.70 | 0.31 | 0.82 | 0.20 | 0.62 | 0.49 | 0.15 |
Political-legal | 0.69 | 0.79 | 0.82 | 0.69 | 0.63 | 0.38 | 0.79 | 0.62 | 0.67 | - | - | - | - | - |
Technological | 0.72 | 0.87 | 0.64 | 0.68 | 0.65 | 0.61 | 0.69 | 0.64 | 0.73 | 0.69 | 0.77 | 0.70 | 0.69 | 0.65 |
Socio-cultural and environmental | 0.54 | 0.5 | 0.69 | 0.54 | 0.53 | 0.43 | 0.56 | 0.40 | - | - | - | - | - | - |
Coefficient | Compliance Level | Coefficient | Compliance Level |
---|---|---|---|
>0.80 | very good | 0.4–0.6 | acceptable |
0.6–0.8 | good | <0.4 | insufficient |
Passive Scenario | Preactive Scenario | Proactive Scenario | Reactive Scenario | ||
---|---|---|---|---|---|
1 | The amount of state expenditure on the development of linear and nodal infrastructure in various branches of transport | stabilisation | stabilisation | growth | growth |
2 | Price level of road transport services | regress | stabilisation | growth | growth |
3 | Level of international transit and trade | regress | stabilisation | growth | growth |
4 | Internalisation of external transport costs | stabilisation | growth | growth | growth |
5 | Level of transport integration in the TRITIA area | stabilisation | stabilisation | growth | growth |
6 | Level of development of transport corridors including multimodal infrastructure | regress | stabilisation | stabilisation | growth |
7 | Density of multimodal terminals within the cross-border area | stabilisation | stabilisation | stabilisation | growth |
8 | Level of separation of liner infrastructure for freight and passenger transport | stabilisation | stabilisation | stabilisation | growth |
9 | Level of use of modern transshipment technologies | stabilisation | stabilisation | growth | growth |
10 | Level of compliance of intermodal loading units with the regulations | stabilisation | stabilisation | growth | growth |
Factor Name | Passive Scenario | Preactive Scenario | Proactive Scenario | Reactive Scenario |
---|---|---|---|---|
State expenditures on the development of linear and nodal infrastructure of various transport branches | 0.31 | 0.31 | 0.51 | 0.51 |
The price level of services in the road transport | 0.06 | 0.62 | 0.32 | 0.32 |
Level of international transit and commercial exchange | 0.09 | 0.22 | 0.69 | 0.69 |
Internalisation of the external transport costs | 0.42 | 0.52 | 0.52 | 0.52 |
The degree of transport integration in the TRITIA area | 0.38 | 0.38 | 0.54 | 0.54 |
The level of transport corridors development including multimodal infrastructure | 0.04 | 0.73 | 0.73 | 0.23 |
Density of multimodal terminals within the cross-border area | 0.62 | 0.62 | 0.62 | 0.35 |
The level of separation of linear infrastructure in setting priorities for freight and passenger transport | 0.56 | 0.56 | 0.56 | 0.38 |
The degree of use of the modern transshipment technologies (Ro-Ro, Lo-Lo, Ro-La) in freight and passenger transport | 0.54 | 0.54 | 0.36 | 0.36 |
The level of compliance of intermodal loading units with road traffic regulations of various modes of transport | 0.57 | 0.57 | 0.36 | 0.36 |
© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Share and Cite
Kramarz, M.; Dohn, K.; Przybylska, E.; Knop, L. Scenarios for the Development of Multimodal Transport in the TRITIA Cross-Border Area. Sustainability 2020, 12, 7021. https://doi.org/10.3390/su12177021
Kramarz M, Dohn K, Przybylska E, Knop L. Scenarios for the Development of Multimodal Transport in the TRITIA Cross-Border Area. Sustainability. 2020; 12(17):7021. https://doi.org/10.3390/su12177021
Chicago/Turabian StyleKramarz, Marzena, Katarzyna Dohn, Edyta Przybylska, and Lilla Knop. 2020. "Scenarios for the Development of Multimodal Transport in the TRITIA Cross-Border Area" Sustainability 12, no. 17: 7021. https://doi.org/10.3390/su12177021
APA StyleKramarz, M., Dohn, K., Przybylska, E., & Knop, L. (2020). Scenarios for the Development of Multimodal Transport in the TRITIA Cross-Border Area. Sustainability, 12(17), 7021. https://doi.org/10.3390/su12177021