IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i14p5111-d861780.html
   My bibliography  Save this article

Simulating a Macrosystem of Cargo Deliveries by Road Transport Based on Big Data Volumes: A Case Study of Poland

Author

Listed:
  • Vitalii Naumov

    (Faculty of Civil Engineering, Cracow University of Technology, Warszawska 24, 31155 Krakow, Poland)

  • Andrzej Szarata

    (Faculty of Civil Engineering, Cracow University of Technology, Warszawska 24, 31155 Krakow, Poland)

  • Hanna Vasiutina

    (Faculty of Civil Engineering, Cracow University of Technology, Warszawska 24, 31155 Krakow, Poland)

Abstract

Simulation models of transport systems are a key tool for solving many problems in the field of management of these systems. The methodologies for creating such models use datasets on both transport infrastructure and demand for the delivery of goods or passenger transport, however, many factors are considered based on assumptions due to the complexity. This article describes the approach to modeling the cargo transportation system for road transport in Poland based on data obtained by the Central Statistical Office from the TD-E survey. This approach avoids many assumptions about demand as the demand parameters are estimated based on a sample representing the general population—a set of all economic entities generating freight traffic. Basic procedures in the developed approach have been implemented as Python scripts. As a result of the use of the proposed methodology, a country-wide road transport model was obtained based on the TD-E survey from 2018. The adequacy of the developed model was assessed based on the results of the General Traffic Measurement from 2015. The obtained model is of satisfactory quality (the coefficient of determination equals 0.62), which can be improved after calibrating the space resistance functions and improving the traffic distribution procedure.

Suggested Citation

  • Vitalii Naumov & Andrzej Szarata & Hanna Vasiutina, 2022. "Simulating a Macrosystem of Cargo Deliveries by Road Transport Based on Big Data Volumes: A Case Study of Poland," Energies, MDPI, vol. 15(14), pages 1-23, July.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:14:p:5111-:d:861780
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/14/5111/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/14/5111/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Keunhyun Park & Sadegh Sabouri & Torrey Lyons & Guang Tian & Reid Ewing, 2020. "Intrazonal or interzonal? Improving intrazonal travel forecast in a four-step travel demand model," Transportation, Springer, vol. 47(5), pages 2087-2108, October.
    2. Ennio Cascetta, 2009. "Transportation Systems Analysis," Springer Optimization and Its Applications, Springer, number 978-0-387-75857-2, September.
    3. Siavash Khalili & Eetu Rantanen & Dmitrii Bogdanov & Christian Breyer, 2019. "Global Transportation Demand Development with Impacts on the Energy Demand and Greenhouse Gas Emissions in a Climate-Constrained World," Energies, MDPI, vol. 12(20), pages 1-54, October.
    4. Meersman, Hilde & Van de Voorde, Eddy, 2019. "Freight transport models: Ready to support transport policy of the future?," Transport Policy, Elsevier, vol. 83(C), pages 97-101.
    5. Antonello Ignazio Croce & Giuseppe Musolino & Corrado Rindone & Antonino Vitetta, 2021. "Estimation of Travel Demand Models with Limited Information: Floating Car Data for Parameters’ Calibration," Sustainability, MDPI, vol. 13(16), pages 1-23, August.
    6. Dick T. Apronti & Khaled Ksaibati, 2018. "Four-step travel demand model implementation for estimating traffic volumes on rural low-volume roads in Wyoming," Transportation Planning and Technology, Taylor & Francis Journals, vol. 41(5), pages 557-571, July.
    7. Meead Saberi & Taha H. Rashidi & Milad Ghasri & Kenneth Ewe, 2018. "A Complex Network Methodology for Travel Demand Model Evaluation and Validation," Networks and Spatial Economics, Springer, vol. 18(4), pages 1051-1073, December.
    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. Paola Panuccio, 2019. "Smart Planning: From City to Territorial System," Sustainability, MDPI, vol. 11(24), pages 1-15, December.
    2. Pierluigi Coppola & Fulvio Silvestri, 2021. "Gender Inequality in Safety and Security Perceptions in Railway Stations," Sustainability, MDPI, vol. 13(7), pages 1-15, April.
    3. Federico Benassi & Marica D'Elia & Francesca Petrei, 2021. "The “meso” dimension of territorial capital: Evidence from Italy," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(1), pages 159-175, February.
    4. Igor Lazov, 2019. "A Methodology for Revenue Analysis of Parking Lots," Networks and Spatial Economics, Springer, vol. 19(1), pages 177-198, March.
    5. Ram, Manish & Gulagi, Ashish & Aghahosseini, Arman & Bogdanov, Dmitrii & Breyer, Christian, 2022. "Energy transition in megacities towards 100% renewable energy: A case for Delhi," Renewable Energy, Elsevier, vol. 195(C), pages 578-589.
    6. Harshad Khadilkar, 2017. "Data-Enabled Stochastic Modeling for Evaluating Schedule Robustness of Railway Networks," Transportation Science, INFORMS, vol. 51(4), pages 1161-1176, November.
    7. Wang, Xinchang & Meng, Qiang & Miao, Lixin, 2016. "Delimiting port hinterlands based on intermodal network flows: Model and algorithm," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 88(C), pages 32-51.
    8. Karol Tucki & Remigiusz Mruk & Olga Orynycz & Andrzej Wasiak & Katarzyna Botwińska & Arkadiusz Gola, 2019. "Simulation of the Operation of a Spark Ignition Engine Fueled with Various Biofuels and Its Contribution to Technology Management," Sustainability, MDPI, vol. 11(10), pages 1-17, May.
    9. Reis, Vasco, 2014. "Analysis of mode choice variables in short-distance intermodal freight transport using an agent-based model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 100-120.
    10. Lin, Ting (Grace) & Xia, Jianhong (Cecilia) & Robinson, Todd P. & Goulias, Konstadinos G. & Church, Richard L. & Olaru, Doina & Tapin, John & Han, Renlong, 2014. "Spatial analysis of access to and accessibility surrounding train stations: a case study of accessibility for the elderly in Perth, Western Australia," Journal of Transport Geography, Elsevier, vol. 39(C), pages 111-120.
    11. Chakraborty, Rahul & Chakravarty, Sujoy, 2023. "Factors affecting acceptance of electric two-wheelers in India: A discrete choice survey," Transport Policy, Elsevier, vol. 132(C), pages 27-41.
    12. Cordera, Rubén & Sañudo, Roberto & dell’Olio, Luigi & Ibeas, Ángel, 2018. "Trip distribution model for regional railway services considering spatial effects between stations," Transport Policy, Elsevier, vol. 67(C), pages 77-84.
    13. Mancuso, Paolo, 2014. "An analysis of the competition that impinges on the Milan–Rome intercity passenger transport link," Transport Policy, Elsevier, vol. 32(C), pages 42-52.
    14. Paolo Delle Site, 2017. "On the Equivalence Between SUE and Fixed-Point States of Day-to-Day Assignment Processes with Serially-Correlated Route Choice," Networks and Spatial Economics, Springer, vol. 17(3), pages 935-962, September.
    15. Francis Oremo & Richard Mulwa & Nicholas Oguge, 2021. "Sustainable water access and willingness of smallholder irrigators to pay for on-farm water storage systems in Tsavo sub-catchment, Kenya," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(2), pages 1371-1391, February.
    16. Croce, Antonello Ignazio & Musolino, Giuseppe & Rindone, Corrado & Vitetta, Antonino, 2019. "Sustainable mobility and energy resources: A quantitative assessment of transport services with electrical vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    17. Keiner, Dominik & Salcedo-Puerto, Orlando & Immonen, Ekaterina & van Sark, Wilfried G.J.H.M. & Nizam, Yoosuf & Shadiya, Fathmath & Duval, Justine & Delahaye, Timur & Gulagi, Ashish & Breyer, Christian, 2022. "Powering an island energy system by offshore floating technologies towards 100% renewables: A case for the Maldives," Applied Energy, Elsevier, vol. 308(C).
    18. Wekesa, Bright Masakha, 2017. "Effect Of Climate Smart Agricultural Practices On Food Security Of Small Scale Farmers In Teso North Sub-County, Kenya," Research Theses 276427, Collaborative Masters Program in Agricultural and Applied Economics.
    19. Anselmo Ramalho Pitombeira-Neto & Carlos Felipe Grangeiro Loureiro & Luis Eduardo Carvalho, 2020. "A Dynamic Hierarchical Bayesian Model for the Estimation of day-to-day Origin-destination Flows in Transportation Networks," Networks and Spatial Economics, Springer, vol. 20(2), pages 499-527, June.
    20. Cartenì, Armando & Marzano, Vittorio & Henke, Ilaria & Cascetta, Ennio, 2022. "A cognitive and participative decision-making model for transportation planning under different uncertainty levels," Transport Policy, Elsevier, vol. 116(C), pages 386-398.

    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:jeners:v:15:y:2022:i:14:p:5111-:d:861780. 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.