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The Attractiveness of Regional Transport as a Direction for Improving Transport Energy Efficiency

Author

Listed:
  • Wojciech Miechowicz

    (Doctoral School, Poznan University of Technology, Piotrowo St. 3, 61-138 Poznan, Poland)

  • Marcin Kiciński

    (Institute of Transport, Poznan University of Technology, Piotrowo St. 3, 61-138 Poznan, Poland)

  • Izabela Miechowicz

    (Department of Computer Science and Statistics, Poznan University of Medical Sciences, Rokietnicka St. 7, 60-806 Poznan, Poland)

  • Agnieszka Merkisz-Guranowska

    (Institute of Transport, Poznan University of Technology, Piotrowo St. 3, 61-138 Poznan, Poland)

Abstract

One of the ways to improve energy efficiency in transportation is through efforts aimed at increasing the usage of public transportation by residents. This, in turn, is closely related to residents’ preferences. One of the most frequently cited factors influencing the attractiveness and quality of public transportation is the frequency of connections. This is important not only for urban transport but also regional transport, which has significantly lower passenger flows. This paper aims to present how the frequency of connections affects the attractiveness of regional transport. An original method for determining the attractiveness of public transport, based on the share of adult, senior, and youth passengers with single tickets and monthly passes, is introduced. The results of research on the structure of passengers and flows to/from the district center are presented. Based on the research results, attractiveness factors are calculated for each town. The statistical analysis clearly indicates there is a strong correlation between the attractiveness of regional transport and the frequency of connections (Rs = 0.807, p = 0.001). Moreover, for every connection increase, the number of adult passengers will increase by an average of 1.5. Assuming that these additional passengers switch from individual to public transportation, the resulting reduction in energy consumption due to an increase of one connection is 0.33–0.69 kWh for each kilometer traveled by these passengers.

Suggested Citation

  • Wojciech Miechowicz & Marcin Kiciński & Izabela Miechowicz & Agnieszka Merkisz-Guranowska, 2024. "The Attractiveness of Regional Transport as a Direction for Improving Transport Energy Efficiency," Energies, MDPI, vol. 17(19), pages 1-21, September.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:19:p:4844-:d:1486949
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    References listed on IDEAS

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    1. Petersen, Tim, 2016. "Watching the Swiss: A network approach to rural and exurban public transport," Transport Policy, Elsevier, vol. 52(C), pages 175-185.
    2. Maren Schnieder, 2023. "Effective Speed: Factors That Influence the Attractiveness of Cost Effective and Sustainable Modes of Transport in Cities," Sustainability, MDPI, vol. 15(10), pages 1-21, May.
    3. Manel Daldoul & Sami Jarboui & Ahlem Dakhlaoui, 2016. "Public transport demand: dynamic panel model analysis," Transportation, Springer, vol. 43(3), pages 491-505, May.
    4. Redman, Lauren & Friman, Margareta & Gärling, Tommy & Hartig, Terry, 2013. "Quality attributes of public transport that attract car users: A research review," Transport Policy, Elsevier, vol. 25(C), pages 119-127.
    5. Houshmand Masoumi & Martin van Rooijen & Grzegorz Sierpiński, 2020. "Children’s Independent Mobility to School in Seven European Countries: A Multinomial Logit Model," IJERPH, MDPI, vol. 17(23), pages 1-21, December.
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