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Modeling the Effectiveness of Intelligent Systems in Public Transport That Uses Low-Carbon Energy: A Case Study

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  • Justyna Patalas-Maliszewska

    (Institute of Mechanical Engineering, University of Zielona Góra, 65-417 Zielona Góra, Poland)

  • Hanna Łosyk

    (Institute of Mechanical Engineering, University of Zielona Góra, 65-417 Zielona Góra, Poland)

  • Jacek Newelski

    (Municipal Department of Transport in the city of Zielona Góra, 65-713 Zielona Góra, Poland)

Abstract

Cities have been struggling for many years with many transport problems, including the impact of carbon monoxide emitted by vehicles on the environment, traffic jams, high energy consumption, numerous accidents or high infrastructure costs. There is also a dynamic growth of vehicles on the roads, which is why an increasing number of cities are introducing intelligent transportation systems (ITS), which is part of the concept of smart cities. This paper proposes a new matrix to assess the effects of the ITS implementation in the context of a concept Smart City, which consists of five criteria: (1) movement speed; (2) safety; (3) environmental; (4) economic; (5) satisfaction and amenities for society/passengers. In this new approach the benchmark values of the indicators assigned to the criteria are involved and, therefore, it is possible to determine the level of effectiveness of the ITS in public transport that uses low-carbon energy. This research used literature studies to establish the criteria of effectiveness of ITS as well as a case study, namely public transport that uses low-carbon energy in a Polish city, which had the largest fleet of electric buses in Poland and implements and uses an ITS. Both, the theoretical and the empirical research results demonstrate the usefulness and potency of the proposed matrix to assess the effects of the ITS implementation in cities in the context of the development of a smart city. In that way, the proposed approach may be a useful tool for measuring the effects of ITS implementation in cities.

Suggested Citation

  • Justyna Patalas-Maliszewska & Hanna Łosyk & Jacek Newelski, 2021. "Modeling the Effectiveness of Intelligent Systems in Public Transport That Uses Low-Carbon Energy: A Case Study," Energies, MDPI, vol. 14(9), pages 1-13, May.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:9:p:2637-:d:548882
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    References listed on IDEAS

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    1. Anna R. Davies & Sue J. Mullin, 2011. "Greening the economy: interrogating sustainability innovations beyond the mainstream," Journal of Economic Geography, Oxford University Press, vol. 11(5), pages 793-816, September.
    2. Lourdes Torres & Vicente Pina & Sonia Royo, 2005. "E-government and the transformation of public administrations in EU countries: Beyond NPM or just a second wave of reforms?," Documentos de Trabajo dt2005-01, Facultad de Ciencias Económicas y Empresariales, Universidad de Zaragoza.
    3. Justyna Patalas-Maliszewska & Hanna Łosyk, 2020. "Analysis of the Development and Parameters of a Public Transport System Which Uses Low-Carbon Energy: The Evidence from Poland," Energies, MDPI, vol. 13(21), pages 1-15, November.
    4. Watkins, Kari Edison & Ferris, Brian & Borning, Alan & Rutherford, G. Scott & Layton, David, 2011. "Where Is My Bus? Impact of mobile real-time information on the perceived and actual wait time of transit riders," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(8), pages 839-848, October.
    5. Lazaroiu, George Cristian & Roscia, Mariacristina, 2012. "Definition methodology for the smart cities model," Energy, Elsevier, vol. 47(1), pages 326-332.
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    Cited by:

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