Developing a conceptual simulation model to analyze and improve traffic flows of the multimodal terminal “RIX” and decision-making for the formation of a new transport hub

• Autorzy: Kostina Sofija , Savenkovs Konstantins , Reiskarts Vladimirs

Identyfikatory

DOI

10.55225/sti.650

• Języki publikacji: EN

Abstrakty

EN

The article explores the development of a simulation model as a decision support tool to aid the planning and development of a new multimodal transport hub at Riga International Airport (RIX), considering its integration with the Rail Baltica project. The study addresses the growing significance of multimodality in enhancing connec tivity, passenger service quality, and infrastructure efficiency at major air transport hubs. The air transport system – comprising both demand-side (passengers, freight) and supply-side (airports, airlines, air traffic control) components - has long been af fected by capacity constraints, congestion, and environmental issues. These challenges have persisted and, in some cases, intensified in the post-pandemic recovery period. The aim of the study is to develop a conceptual simulation model that supports tac tical decision-making for traffic flow optimization and infrastructure development at RIX. The research emphasizes complementary role of rail transport in multimodal integration, particularly its potential to extend air connectivity and enable seamless “door-to-door” travel chain. Best practices in multimodality at Helsinki and Singapore airports are reviewed. The current state of infrastructure and intermodal connectivity at RIX is analyzed, especially with reference to its future connection to the planned Rail Baltica line. A holistic approach to service level analysis is applied, incorporating both terminal and regional access components. Given the complexity of such large-scale projects, modern model-based tools are essential for evaluating alternative scenarios and sup porting planning decisions. The proposed conceptual simulation model provides a methodological framework for evaluating multimodal passenger flows and supports strategic decisions on hub development and infrastructure optimization.

Słowa kluczowe

EN

multimodality; hubs; RIX; Rail Baltica; passenger; traffic flows; conceptual simulation model; optimization

• Wydawca: Państwowa Wyższa Szkoła Zawodowa w Tarnowie
• Czasopismo: Science, Technology and Innovation
• Rocznik: 2025
• Tom: Vol. 21, no. 2
• Strony: 23--30
• Opis fizyczny: Bibliogr. 8 poz., rys., tab.

Twórcy

autor

Kostina Sofija

• Riga Aeronautical Institute, Riga, 9, Mezhkalna str., Riga, LV-1058, Latvia

autor

Savenkovs Konstantins

• Riga Aeronautical Institute, Riga, 9, Mezhkalna str., Riga, LV-1058, Latvia

• https://orcid.org/0000-0002-5076-9569

autor

Reiskarts Vladimirs

• Riga Aeronautical Institute, Riga, 9, Mezhkalna str., Riga, LV-1058, Latvia

• https://orcid.org/0000-0003-2597-6192

Bibliografia

• [1] Rodrigue J-P, Comtois C, Slack B. The Geography of Trans port Systems. Routledge; 2020.
• [2] Keeney RL, Raiffa H. Decisions with Multiple Objectives: Preferences and Value Trade-Offs. Cambridge University Press; 1993.
• [3] Turban E, Sharda R, Delen D. Decision Support and Busi ness Intelligence Systems. Pearson Education; 2014.
• [4] European Commission: White Paper: Roadmap to a Single European Transport Area – Towards a compet itive and resource efficient transport system Brussels [Internet]. 2021 March 28 [cited 2024 Oct. 16]. Availa ble from: https://eur-lex.europa.eu/legal-content/EN/ TXT/?uri=celex:52011DC0144.
• [5] Ortuzar JD, Willumsen LG. Modelling Transport. John Willey & Sons; 2006.
• [6] Savrasovs M, Yatskiv I, Tolujevs Y, Jackson I. (2020), Simula tion as a decision supporting tool for airport planning: Riga International Airport case study. Transport. 2021;36(6):474––485. https://doi.org/10.3846/transport.2021.16198.
• [7] Rail Baltica. (2024). Ministry of Transport of the Republic of Latvia.
• [8] TVNET. Rail Baltica deadlines extended again: Latvia loses over €17 million in unused EU funding. 2024 [cit ed 2024 Dec. 12]. Available from: https://www.tvnet. lv/7998447/