IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i21p9199-d1505014.html
   My bibliography  Save this article

An Integrated SIMUS–Game Theory Approach for Sustainable Decision Making—An Application for Route and Transport Operator Selection

Author

Listed:
  • Svetla Stoilova

    (Faculty of Transport, Technical University of Sofia, 8 Kl. Ohridski Blvd., 1000 Sofia, Bulgaria)

Abstract

The choice of management strategy for companies operating in different sectors of the economy is of great importance for their sustainable development. In many cases, companies are in competition within the scope of the same activities, meaning that the profit of one company is at the expense of the other. The choice of strategies for each of the firms in this case can be optimized using game theory for a non-cooperative game case where the two players have antagonistic interests. The aim of this research is to develop a methodology which, in non-cooperative games, accounts for the benefits of different criteria for each of the strategies of the two participants. In this research a new integrated sequential interactive model for urban systems (SIMUS)–game theory technique for decision making in the case of non-cooperative games is proposed. The methodology includes three steps. The first step consists of a determination of the strategies of both players and the selection of criteria for their assessment. In the second step the SIMUS method for multi-criteria analysis is applied to identify the benefits of the strategies for both players according to the criteria. The model formation in game theory is drawn up in the third step. The payoff matrix of the game is formed based on the benefits obtained from the SIMUS method. The strategies of both players are solved by dual linear programming. Finally, to verify the results of the new approach we apply four criteria to make a decision—Laplace’s criterion, the minimax and maximin criteria, Savage’s criterion and Hurwitz’s criterion. The new integrated SIMUS–game theory approach is applied to a real example in the transport sector. The Bulgarian transport network is investigated regarding route and transport type selection for a carriage of containers between a starting point, Sofia, and a destination, Varna, in the case of competition between railway and road operators. Two strategies for a railway operator and three strategies for a road operator are examined. The benefits of the strategies for both operators are determined using the SIMUS method, based on seven criteria representing environmental, technological, infrastructural, economic, security and safety factors. The optimal strategies for both operators are determined using the game model and dual linear programming. It is discovered that the railway operator will apply their first strategy and that the road operator will also apply their first strategy. Both players will obtain a profit if they implement their optimal strategies. The new integrated SIMUS–game theory approach can be used in different areas of research, when the strategies for both players in non-cooperatives games need to be established.

Suggested Citation

  • Svetla Stoilova, 2024. "An Integrated SIMUS–Game Theory Approach for Sustainable Decision Making—An Application for Route and Transport Operator Selection," Sustainability, MDPI, vol. 16(21), pages 1-31, October.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:21:p:9199-:d:1505014
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/21/9199/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/21/9199/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Crawford, Vincent P., 2000. "John Nash and the Analysis of Strategic Behavior," University of California at San Diego, Economics Working Paper Series qt4r56g8kd, Department of Economics, UC San Diego.
    2. Adler, Nicole & Brudner, Amir & Proost, Stef, 2021. "A review of transport market modeling using game-theoretic principles," European Journal of Operational Research, Elsevier, vol. 291(3), pages 808-829.
    3. Emami, Maryam & Haghshenas, Hossein & Talebian, Ahmadreza & Kermanshahi, Shahab, 2022. "A game theoretic approach to study the impact of transportation policies on the competition between transit and private car in the urban context," Transportation Research Part A: Policy and Practice, Elsevier, vol. 163(C), pages 320-337.
    4. Crawford, Vincent P., 2002. "John Nash and the analysis of strategic behavior," Economics Letters, Elsevier, vol. 75(3), pages 377-382, May.
    5. Dandan Chen & Yong Zhang & Liangpeng Gao & Russell G. Thompson, 2019. "Optimizing Multimodal Transportation Routes Considering Container Use," Sustainability, MDPI, vol. 11(19), pages 1-18, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ley, Eduardo, 2006. "Statistical inference as a bargaining game," Economics Letters, Elsevier, vol. 93(1), pages 142-149, October.
    2. Zhenliang Liao & Phillip Hannam, 2013. "The Mekong Game: Achieving an All-win Situation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(7), pages 2611-2622, May.
    3. Luna, Raúl Enrique Rodríguez & Mendoza, Jairo Mendoza & Salas, Erik Romo, 2014. "La política fiscal y monetaria en Colombia: un análisis experimental desde la toma coordinada de decisiones," Revista Tendencias, Universidad de Narino, vol. 15(1), pages 145-172, January.
    4. Perc, Matjaz, 2007. "Flights towards defection in economic transactions," Economics Letters, Elsevier, vol. 97(1), pages 58-63, October.
    5. Perc, Matjaz, 2007. "Microeconomic uncertainties facilitate cooperative alliances and social welfare," Economics Letters, Elsevier, vol. 95(1), pages 104-109, April.
    6. Nakamura, Masao & Zhang, Anming, 2018. "Foreign direct investment with host country market structures, with empirical application to Japan," Journal of the Japanese and International Economies, Elsevier, vol. 49(C), pages 43-53.
    7. Watson, Joel, 2021. "Nash, John Forbes (1928–2015)," University of California at San Diego, Economics Working Paper Series qt2zg9j4q1, Department of Economics, UC San Diego.
    8. Emami, Maryam & Haghshenas, Hossein & Talebian, Ahmadreza & Kermanshahi, Shahab, 2022. "A game theoretic approach to study the impact of transportation policies on the competition between transit and private car in the urban context," Transportation Research Part A: Policy and Practice, Elsevier, vol. 163(C), pages 320-337.
    9. Xu, Xiaoyan & Choi, Tsan-Ming & Chung, Sai-Ho & Guo, Shu, 2023. "Collaborative-commerce in supply chains: A review and classification of analytical models," International Journal of Production Economics, Elsevier, vol. 263(C).
    10. Mostafa Pazoki & Hamed Samarghandi & Mehdi Behroozi, 2023. "Increasing Supply Chain Resiliency Through Equilibrium Pricing and Stipulating Transportation Quota Regulation," Papers 2308.00681, arXiv.org, revised Oct 2023.
    11. Tan, Bing Qing & Xu, Su Xiu & Thürer, Matthias & Kang, Kai & Zhao, Zhiheng & Li, Ming, 2024. "Booking versus search-based parking strategy: A game-theoretic methodology," Research in Transportation Economics, Elsevier, vol. 104(C).
    12. Zhang, Yundi & Hu, Rong & Chen, Ruotian & Cai, Dong-ling & Jiang, Changmin, 2024. "Competition in cargo and passenger between high-speed rail and airlines—considering the vertical structure of transportation," Transport Policy, Elsevier, vol. 151(C), pages 120-133.
    13. Schlicher, Loe & Lurkin, Virginie, 2022. "Stable allocations for choice-based collaborative price setting," European Journal of Operational Research, Elsevier, vol. 302(3), pages 1242-1254.
    14. Chunjiao Shao & Haiyan Wang & Meng Yu, 2022. "Multi-Objective Optimization of Customer-Centered Intermodal Freight Routing Problem Based on the Combination of DRSA and NSGA-III," Sustainability, MDPI, vol. 14(5), pages 1-25, March.
    15. Zhong, Shaopeng & Jiang, Yu & Nielsen, Otto Anker, 2022. "Lexicographic multi-objective road pricing optimization considering land use and transportation effects," European Journal of Operational Research, Elsevier, vol. 298(2), pages 496-509.
    16. Aggarwal, Aradhna, 2020. "The Concept, Evolution, Impacts and Critical Success Factors of Regional Economic Corridors," MPRA Paper 110706, University Library of Munich, Germany, revised 16 Nov 2021.
    17. Thomas Kamalakis & Georgia Dede & Christos Michalakelis & Mara Nikolaidou, 2024. "Game-theoretic analysis of competition between access service providers utilizing a Nash genetic algorithm," Operational Research, Springer, vol. 24(2), pages 1-30, June.
    18. Adler, Nicole & Andreana, Gianmarco, 2024. "Aiding airlines for the benefit of whom? An applied game-theoretic approach," European Journal of Operational Research, Elsevier, vol. 314(2), pages 552-564.
    19. Tamannaei, Mohammad & Zarei, Hamid & Rasti-Barzoki, Morteza, 2021. "A game theoretic approach to sustainable freight transportation: Competition between road and intermodal road–rail systems with government intervention," Transportation Research Part B: Methodological, Elsevier, vol. 153(C), pages 272-295.
    20. Yao Wang & Abdul Majeed & Zahid Hussain & József Popp & Judit Oláh, 2022. "Online Second-Hand Bookstores’ Strategic Decisions: A Theoretical Perspective," Sustainability, MDPI, vol. 14(20), pages 1-18, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2024:i:21:p:9199-:d:1505014. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.