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On-Board Comfort of Different Age Passengers and Bus-Lane Characteristics

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Computational Science and Its Applications – ICCSA 2020 (ICCSA 2020)

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Abstract

Onboard bus comfort significantly depends on the bus lanes characteristics, such as horizontal curvature, pavement roughness, longitudinal, and transversal slope. A literature review shows a statistical relationship between acceleration level and passenger features, such as age and gender. A large number of onboard interviews have been collected and correlated to bus-lane geometry parameters, to evaluate the vibrational comfort of different passengers. Passenger’s judgments are related to the lateral, longitudinal, and vertical shake. At the same time, a geometric investigation on bus-lane corridors, traveled during interviews, in the city of Cagliari in Italy allowed to extract infrastructure parameters in terms of numbers and density of turns, horizontal curvature radius, speed design, and acceleration variance. The paper analyzed the correlation between some geometric and cinematics road parameters that may affect the comfort and the different passenger’s judgments on the three acceleration components by age classes and hourly day. The results generally show weak correlations between the selected parameters and passenger judgments. Conversely, travel speeds have significant correlation values. There is a moderate inverse correlation between the vibrational level and the age of the passengers. The younger age groups tend to have more severe judgments, attributable to their higher demand for comfort. The presence of preferential lanes increases the onboard comfort quality in terms of speed regularity, without private cars interferences.

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Acknowledgments

This study was supported by the MIUR (Ministry of Education, Universities and Research [Italy]) through a project entitled WEAKI TRANSIT: WEAK-demand areas Innovative TRANsport Shared services for Italian Towns (Project protocol: 20174ARRHT_004; CUP Code: F74I19001290001), financed with the PRIN 2017 (Research Projects of National Relevance) program. We authorize the MIUR to reproduce and distribute reprints for Governmental purposes, notwithstanding any copyright notations thereon. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the MIUR.

This work also has been partially supported by the MIUR within the Smart City framework (project: PON04a2_00381 “CAGLIARI2020”). The authors are grateful for the CTM SpA, which made its data available for this study. The views expressed herein are those of the authors and are not necessarily those of the Italian bus operator.

Author information

Authors and Affiliations

  1. Department of Civil and Environmental Engineering and Architecture (DICAAR), University of Cagliari, via Marengo 2, 09123, Cagliari, Italy

    Mauro Coni, Francesca Maltinti, Francesco Pinna, Nicoletta Rassu & Chiara Garau

  2. Department of Civil, Environmental, Architectural Engineering and Mathematics (DICATAM), University of Brescia, via Branze 43, 25123, Brescia, Italy

    Benedetto Barabino & Giulio Maternini

Authors
  1. Mauro Coni
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  2. Francesca Maltinti
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  3. Francesco Pinna
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  4. Nicoletta Rassu
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  5. Chiara Garau
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  6. Benedetto Barabino
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  7. Giulio Maternini
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Corresponding author

Correspondence to Mauro Coni .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Potenza, Italy

    Beniamino Murgante

  3. Chair- Center of ICT/ICE, Covenant University, Ota, Nigeria

    Sanjay Misra

  4. University of Cagliari, Cagliari, Italy

    Chiara Garau

  5. University of Cagliari, Cagliari, Italy

    Ivan Blečić

  6. Clayton School of Information Technology, Monash University, Clayton, VIC, Australia

    David Taniar

  7. Department of Information Science, Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  8. University of Minho, Braga, Portugal

    Ana Maria A. C. Rocha

  9. Polytechnic University of Bari, Bari, Italy

    Eufemia Tarantino

  10. Polytechnic University of Bari, Bari, Italy

    Carmelo Maria Torre

  11. Department of Neurology, University of Massachusetts Medical School, Worcester, MA, USA

    Yeliz Karaca

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Coni, M. et al. (2020). On-Board Comfort of Different Age Passengers and Bus-Lane Characteristics. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science(), vol 12255. Springer, Cham. https://doi.org/10.1007/978-3-030-58820-5_48

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  • DOI: https://doi.org/10.1007/978-3-030-58820-5_48

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