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Use of Microsimulation Traffic Models as Means for Ensuring Public Transport Sustainability and Accessibility

Author

Listed:
  • Vladislav Krivda

    (Department of Transport Constructions, Faculty of Civil Engineering, VSB-Technical University of Ostrava, 708 00 Ostrava-Poruba, Czech Republic)

  • Jan Petru

    (Department of Transport Constructions, Faculty of Civil Engineering, VSB-Technical University of Ostrava, 708 00 Ostrava-Poruba, Czech Republic)

  • David Macha

    (Department of Transport Constructions, Faculty of Civil Engineering, VSB-Technical University of Ostrava, 708 00 Ostrava-Poruba, Czech Republic)

  • Jakub Novak

    (Department of Transport Constructions, Faculty of Civil Engineering, VSB-Technical University of Ostrava, 708 00 Ostrava-Poruba, Czech Republic)

Abstract

This article deals with the issue of a partial problem in the sustainability and availability of public transport using the example of a specific transit node. In every public transport network, it is the transit nodes that can be a threat to the entire transport system in case of a bad design. The article presents a microsimulation traffic model of a transit node, which was created in the PTV VISSIM/VISWALK program. This model was tested by various traffic loads (i.e., normal loads, loads taking into account the extension of the tram network and loads at extraordinary sports or cultural events). As part of the evaluation of the monitored node, the movement of passengers on pedestrian areas, escalators and staircases was analysed. The obtained results demonstrate the importance of monitoring, for example, the Level of Service, average travel times and pedestrian speeds and other parameters, to ensure the functionality of this construction. The use of traffic models can be crucial, as they can be an invaluable aid and a suitable tool in finding the optimal transport solution that respects the requirements for sustainable and accessible public transport.

Suggested Citation

  • Vladislav Krivda & Jan Petru & David Macha & Jakub Novak, 2021. "Use of Microsimulation Traffic Models as Means for Ensuring Public Transport Sustainability and Accessibility," Sustainability, MDPI, vol. 13(5), pages 1-38, March.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:5:p:2709-:d:509445
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    References listed on IDEAS

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    1. Vladislav Krivda & Jan Petru & David Macha & Kristyna Plocova & David Fibich, 2020. "An Analysis of Traffic Conflicts as a Tool for Sustainable Road Transport," Sustainability, MDPI, vol. 12(17), pages 1-23, September.
    2. Marek Drliciak & Jan Celko & Michal Cingel & Dusan Jandacka, 2020. "Traffic Volumes as a Modal Split Parameter," Sustainability, MDPI, vol. 12(24), pages 1-21, December.
    3. Schakenbos, Rik & Paix, Lissy La & Nijenstein, Sandra & Geurs, Karst T., 2016. "Valuation of a transfer in a multimodal public transport trip," Transport Policy, Elsevier, vol. 46(C), pages 72-81.
    4. Jiri Horak & Jan Tesla & David Fojtik & Vit Vozenilek, 2019. "Modelling Public Transport Accessibility with Monte Carlo Stochastic Simulations: A Case Study of Ostrava," Sustainability, MDPI, vol. 11(24), pages 1-25, December.
    5. Liam Magee & Andy Scerri & Paul James & James Thom & Lin Padgham & Sarah Hickmott & Hepu Deng & Felicity Cahill, 2013. "Reframing social sustainability reporting: towards an engaged approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 15(1), pages 225-243, February.
    6. Manxia Liu & Weiliang Zeng & Peng Chen & Xuyi Wu, 2017. "A microscopic simulation model for pedestrian-pedestrian and pedestrian-vehicle interactions at crosswalks," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-23, July.
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    Citations

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    Cited by:

    1. Kayvan Aghabayk & Alireza Soltani & Nirajan Shiwakoti, 2022. "Investigating Pedestrians’ Exit Choice with Incident Location Awareness in an Emergency in a Multi-Level Shopping Complex," Sustainability, MDPI, vol. 14(19), pages 1-21, September.
    2. Junzhuo Li & Wenyong Li & Guan Lian, 2022. "Optimal Aggregate Size of Traffic Sequence Data Based on Fuzzy Entropy and Mutual Information," Sustainability, MDPI, vol. 14(22), pages 1-17, November.
    3. Ivana Štimac Grandić & Paulo Šćulac & Davor Grandić & Iva Vodopija, 2024. "The Accessible Design of Pedestrian Bridges," Sustainability, MDPI, vol. 16(3), pages 1-17, January.
    4. Xianing Wang & Zhan Zhang & Ying Wang & Jun Yang & Linjun Lu, 2022. "A Study on Safety Evaluation of Pedestrian Flows Based on Partial Impact Dynamics by Real-Time Data in Subway Stations," Sustainability, MDPI, vol. 14(16), pages 1-19, August.
    5. Zhiguo Shao & Li Zhang & Chuanfeng Han & Lingpeng Meng, 2022. "Measurement and Prediction of Urban Land Traffic Accessibility and Economic Contact Based on GIS: A Case Study of Land Transportation in Shandong Province, China," IJERPH, MDPI, vol. 19(22), pages 1-15, November.
    6. Maksymilian Mądziel, 2023. "Vehicle Emission Models and Traffic Simulators: A Review," Energies, MDPI, vol. 16(9), pages 1-31, May.
    7. Mohsen Momenitabar & Jeremy Mattson, 2021. "A Multi-Objective Meta-Heuristic Approach to Improve the Bus Transit Network: A Case Study of Fargo-Moorhead Area," Sustainability, MDPI, vol. 13(19), pages 1-25, September.

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