IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i17p9816-d627170.html
   My bibliography  Save this article

Possibility of a Solution of the Sustainability of Transport and Mobility with the Application of Discrete Computer Simulation—A Case Study

Author

Listed:
  • Nikoleta Mikušová

    (Faculty of Mining, Ecology, Process Control and Geotechnologies, Technical University of Košice, Letná 9, 042 00 Košice, Slovakia)

  • Gabriel Fedorko

    (Faculty of Mining, Ecology, Process Control and Geotechnologies, Technical University of Košice, Letná 9, 042 00 Košice, Slovakia)

  • Vieroslav Molnár

    (Faculty of Manufacturing Technologies, Technical University of Košice, Bayerova 1, 080 01 Prešov, Slovakia)

  • Martina Hlatká

    (Faculty of Technology, The Institute of Technology and Business in České Budějovice, 370 01 České Budějovice, Czech Republic)

  • Rudolf Kampf

    (Faculty of Technology, The Institute of Technology and Business in České Budějovice, 370 01 České Budějovice, Czech Republic)

  • Veronika Sirková

    (Faculty of Mining, Ecology, Process Control and Geotechnologies, Technical University of Košice, Letná 9, 042 00 Košice, Slovakia)

Abstract

The paper is focused on an example of a solution for the sustainability of transport and mobility with the application of discrete computer simulation. The obtained results from the realized simulation were complemented with the selected multi-criteria decision-making method, namely the analytic hierarchy process (AHP) method. The paper describes the use of the simulation model for obtaining characteristics of alternative solutions that were designed for the needs of transport sustainability. The aim is to address the problem of traffic congestion in urban agglomerations. The simulation model serves as a means to provide information for the needs of their analysis by multi-criteria evaluation by the AHP. The methodology is based on a combination of computer simulation and multi-criteria decision-making and presents a useful tool that can be used in the field of transport sustainability. The paper notes methods to implement analysis of alternative solutions in transport. However, this procedure can also be used to solve other problems in the field of logistics systems. The paper compares five possible solutions for the organization of transport at intersections. Multi-criteria decision-making was realized based on 12 criteria. The result was the solution that reduced the length of congestion in almost all directions, with a maximum shortening of 69 m and a shortening of the average delay by 26 s compared to the current state.

Suggested Citation

  • Nikoleta Mikušová & Gabriel Fedorko & Vieroslav Molnár & Martina Hlatká & Rudolf Kampf & Veronika Sirková, 2021. "Possibility of a Solution of the Sustainability of Transport and Mobility with the Application of Discrete Computer Simulation—A Case Study," Sustainability, MDPI, vol. 13(17), pages 1-24, September.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:17:p:9816-:d:627170
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/17/9816/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/17/9816/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Barkenbus, Jack N., 2010. "Eco-driving: An overlooked climate change initiative," Energy Policy, Elsevier, vol. 38(2), pages 762-769, February.
    2. Mustafa Hamurcu & Tamer Eren, 2020. "Electric Bus Selection with Multicriteria Decision Analysis for Green Transportation," Sustainability, MDPI, vol. 12(7), pages 1-19, April.
    3. Villegas Flores, Noé & Cruz Salvador, Liliana Cristina & Parapinski dos Santos, Ana Carolina & Madero, Yelinca Saldeño, 2021. "A proposal to compare urban infrastructure using multi-criteria analysis," Land Use Policy, Elsevier, vol. 101(C).
    4. Athakorn Kengpol & Sopida Tuammee, 2016. "The development of a decision support framework for a quantitative risk assessment in multimodal green logistics: an empirical study," International Journal of Production Research, Taylor & Francis Journals, vol. 54(4), pages 1020-1038, February.
    5. Johanna Camargo Pérez & Martha Carrillo & Jairo Montoya-Torres, 2015. "Multi-criteria approaches for urban passenger transport systems: a literature review," Annals of Operations Research, Springer, vol. 226(1), pages 69-87, March.
    6. Andalib Shams & Milan Zlatkovic, 2020. "Effects of capacity and transit improvements on traffic and transit operations," Transportation Planning and Technology, Taylor & Francis Journals, vol. 43(6), pages 602-619, August.
    7. Anandkumar Balasubramaniam & Anand Paul & Won-Hwa Hong & HyunCheol Seo & Jeong Hong Kim, 2017. "Comparative Analysis of Intelligent Transportation Systems for Sustainable Environment in Smart Cities," Sustainability, MDPI, vol. 9(7), pages 1-12, June.
    8. Radoje Vujadinović & Jelena Šaković Jovanović & Aljaž Plevnik & Luka Mladenovič & Tom Rye, 2021. "Key Challenges in the Status Analysis for the Sustainable Urban Mobility Plan in Podgorica, Montenegro," Sustainability, MDPI, vol. 13(3), pages 1-28, January.
    9. Andrii Shekhovtsov & Volodymyr Kozlov & Viktor Nosov & Wojciech Sałabun, 2020. "Efficiency of Methods for Determining the Relevance of Criteria in Sustainable Transport Problems: A Comparative Case Study," Sustainability, MDPI, vol. 12(19), pages 1-23, September.
    10. Yedla, Sudhakar & Shrestha, Ram M., 2003. "Multi-criteria approach for the selection of alternative options for environmentally sustainable transport system in Delhi," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(8), pages 717-729, October.
    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. Swati Goyal & Shivi Agarwal & Narinderjit Singh Sawaran Singh & Trilok Mathur & Nirbhay Mathur, 2022. "Analysis of Hybrid MCDM Methods for the Performance Assessment and Ranking Public Transport Sector: A Case Study," Sustainability, MDPI, vol. 14(22), pages 1-21, November.
    2. Alberto Romero-Ania & Lourdes Rivero Gutiérrez & María Auxiliadora De Vicente Oliva, 2021. "Multiple Criteria Decision Analysis of Sustainable Urban Public Transport Systems," Mathematics, MDPI, vol. 9(16), pages 1-30, August.
    3. Dharmalingam Marimuthu & Ieva Meidute-Kavaliauskiene & Ghanshaym S. Mahapatra & Renata Činčikaitė & Pratik Roy & Aidas Vasilis Vasiliauskas, 2022. "Sustainable Urban Conveyance Selection through MCGDM Using a New Ranking on Generalized Interval Type-2 Trapezoidal Fuzzy Number," Mathematics, MDPI, vol. 10(23), pages 1-23, November.
    4. Mustafa Hamurcu & Tamer Eren, 2020. "Strategic Planning Based on Sustainability for Urban Transportation: An Application to Decision-Making," Sustainability, MDPI, vol. 12(9), pages 1-24, April.
    5. Mustafa Hamurcu & Tamer Eren, 2020. "Electric Bus Selection with Multicriteria Decision Analysis for Green Transportation," Sustainability, MDPI, vol. 12(7), pages 1-19, April.
    6. Barbosa, Samuel Borges & Ferreira, Marcelo Gitirana Gomes & Nickel, Elton Moura & Cruz, Jorge Alcides & Forcellini, Fernando Antônio & Garcia, Jéssica & Guerra, José Baltazar Salgueirinho Osório de An, 2017. "Multi-criteria analysis model to evaluate transport systems: An application in Florianópolis, Brazil," Transportation Research Part A: Policy and Practice, Elsevier, vol. 96(C), pages 1-13.
    7. Lee, Deok-Joo, 2018. "A multi-criteria approach for prioritizing advanced public transport modes (APTM) considering urban types in Korea," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 148-161.
    8. Rocio de la Torre & Canan G. Corlu & Javier Faulin & Bhakti S. Onggo & Angel A. Juan, 2021. "Simulation, Optimization, and Machine Learning in Sustainable Transportation Systems: Models and Applications," Sustainability, MDPI, vol. 13(3), pages 1-21, February.
    9. Nassereddine, M. & Eskandari, H., 2017. "An integrated MCDM approach to evaluate public transportation systems in Tehran," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 427-439.
    10. Ahmed, Sumayyah & Sanguinetti, Angela, 2015. "OBDEnergy: Making Metrics Meaningful in Eco-driving Feedback," Institute of Transportation Studies, Working Paper Series qt0x73t2jw, Institute of Transportation Studies, UC Davis.
    11. Pietro Stabile & Federico Ballo & Giorgio Previati & Giampiero Mastinu & Massimiliano Gobbi, 2023. "Eco-Driving Strategy Implementation for Ultra-Efficient Lightweight Electric Vehicles in Realistic Driving Scenarios," Energies, MDPI, vol. 16(3), pages 1-19, January.
    12. Nan, Sirui & Tu, Ran & Li, Tiezhu & Sun, Jian & Chen, Haibo, 2022. "From driving behavior to energy consumption: A novel method to predict the energy consumption of electric bus," Energy, Elsevier, vol. 261(PA).
    13. Chia-Nan Wang & Ngoc-Ai-Thy Nguyen & Thanh-Tuan Dang & Chen-Ming Lu, 2021. "A Compromised Decision-Making Approach to Third-Party Logistics Selection in Sustainable Supply Chain Using Fuzzy AHP and Fuzzy VIKOR Methods," Mathematics, MDPI, vol. 9(8), pages 1-27, April.
    14. Al-Alawi, Baha M. & Coker, Alexander D., 2018. "Multi-criteria decision support system with negotiation process for vehicle technology selection," Energy, Elsevier, vol. 157(C), pages 278-296.
    15. Yuan, Weichang & Frey, H. Christopher, 2020. "Potential for metro rail energy savings and emissions reduction via eco-driving," Applied Energy, Elsevier, vol. 268(C).
    16. Zheng Yuan & Baohua Wen & Cheng He & Jin Zhou & Zhonghua Zhou & Feng Xu, 2022. "Application of Multi-Criteria Decision-Making Analysis to Rural Spatial Sustainability Evaluation: A Systematic Review," IJERPH, MDPI, vol. 19(11), pages 1-31, May.
    17. Jelena Kilić Pamuković & Katarina Rogulj & Daniela Dumanić & Nikša Jajac, 2020. "A Sustainable Approach for the Maintenance of Asphalt Pavement Construction," Sustainability, MDPI, vol. 13(1), pages 1-18, December.
    18. Zhong Wang & Rui Xu, 2022. "Price Controls and Platform Ecosystem: A Comparative Analysis of Parking Applications between Beijing and London," Sustainability, MDPI, vol. 14(9), pages 1-17, May.
    19. Binghong Pan & Shasha Luo & Jinfeng Ying & Yang Shao & Shangru Liu & Xiang Li & Jiaqi Lei, 2021. "Evaluation and Analysis of CFI Schemes with Different Length of Displaced Left-Turn Lanes with Entropy Method," Sustainability, MDPI, vol. 13(12), pages 1-27, June.
    20. Yan Xu & Chung-Hsing Yeh, 2017. "Sustainability-based selection decisions for e-waste recycling operations," Annals of Operations Research, Springer, vol. 248(1), pages 531-552, January.

    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:13:y:2021:i:17:p:9816-:d:627170. 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.