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Analysis of Malfunctions in Selected Parking Systems in the Czech Republic

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  • Simona Mikšíková

    (Department of Urban Engineering, Faculty of Civil Engineering, VŠB—Technical University of Ostrava, 708 00 Ostrava, Czech Republic
    These authors contributed equally to this work.)

  • David Ulčák

    (Department of Applied Mathematics, Faculty of Electrical Engineering and Computer Science, VŠB—Technical University of Ostrava, 708 00 Ostrava, Czech Republic
    These authors contributed equally to this work.)

  • František Kuda

    (Department of Urban Engineering, Faculty of Civil Engineering, VŠB—Technical University of Ostrava, 708 00 Ostrava, Czech Republic)

Abstract

The underlying cause of the problem with parking is the imbalance between demand and supply in key areas where demand for parking is high, but parking is limited due to excessive land prices. Newly-developed automated multi-storey parking facilities are able to automatically pick up and place cars on different storeys, with minimal requirements on space. In the paper we concentrate on Automated Parking Systems and their malfunction rate. Specifically, we analyzed two automated systems located in the Czech Republic, in the towns of Brno and Slaný. We employed time series and various testing hypotheses to compare the malfunction rate of the systems, and used information from practice. We conclude with an evaluation and a brief description of the optimization of systems and the use of innovative tools.

Suggested Citation

  • Simona Mikšíková & David Ulčák & František Kuda, 2022. "Analysis of Malfunctions in Selected Parking Systems in the Czech Republic," Sustainability, MDPI, vol. 14(3), pages 1-10, February.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:3:p:1826-:d:742698
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    References listed on IDEAS

    as
    1. Shoup, Donald C., 2006. "Cruising for parking," Transport Policy, Elsevier, vol. 13(6), pages 479-486, November.
    2. Holt, Charles C., 2004. "Author's retrospective on 'Forecasting seasonals and trends by exponentially weighted moving averages'," International Journal of Forecasting, Elsevier, vol. 20(1), pages 11-13.
    3. Miloš Poliak & Adela Poliaková & Kristián Čulík, 2020. "Impact of the Social Law on Truck Parking Sustainability in the EU," Sustainability, MDPI, vol. 12(22), pages 1-16, November.
    4. Nourinejad, Mehdi & Bahrami, Sina & Roorda, Matthew J., 2018. "Designing parking facilities for autonomous vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 109(C), pages 110-127.
    5. Holt, Charles C., 2004. "Forecasting seasonals and trends by exponentially weighted moving averages," International Journal of Forecasting, Elsevier, vol. 20(1), pages 5-10.
    6. Christiansen, Petter & Engebretsen, Øystein & Fearnley, Nils & Usterud Hanssen, Jan, 2017. "Parking facilities and the built environment: Impacts on travel behaviour," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 198-206.
    7. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    8. Wang, Yineng & Li, Meng & Lin, Xi & He, Fang, 2021. "Online operations strategies for automated multistory parking facilities," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 145(C).
    9. repec:cdl:uctcwp:qt55s7079f is not listed on IDEAS
    10. Jairo Ortega & Sarbast Moslem & Juan Palaguachi & Martin Ortega & Tiziana Campisi & Vincenza Torrisi, 2021. "An Integrated Multi Criteria Decision Making Model for Evaluating Park-and-Ride Facility Location Issue: A Case Study for Cuenca City in Ecuador," Sustainability, MDPI, vol. 13(13), pages 1-16, July.
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