IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i15p5562-d393256.html
   My bibliography  Save this article

How Czech Adolescents Perceive Active Commuting to School: A Cross-Sectional Study

Author

Listed:
  • Michal Vorlíček

    (Institute of Active Lifestyle, Faculty of Physical Culture, Palacký University, 771 11 Olomouc, Czech Republic)

  • Petr Baďura

    (Institute of Active Lifestyle, Faculty of Physical Culture, Palacký University, 771 11 Olomouc, Czech Republic)

  • Josef Mitáš

    (Institute of Active Lifestyle, Faculty of Physical Culture, Palacký University, 771 11 Olomouc, Czech Republic)

  • Peter Kolarčik

    (Institute of Active Lifestyle, Faculty of Physical Culture, Palacký University, 771 11 Olomouc, Czech Republic
    Department of Health Psychology and Research Methodology, Faculty of Medicine, P.J. Safarik University, Trieda SNP 1, 040 11 Košice, Slovakia)

  • Lukáš Rubín

    (Institute of Active Lifestyle, Faculty of Physical Culture, Palacký University, 771 11 Olomouc, Czech Republic
    Department of Physical Education and Sport, Faculty of Science, Humanities and Education, Technical University of Liberec, 461 17 Liberec, Czech Republic)

  • Jana Vašíčková

    (Institute of Active Lifestyle, Faculty of Physical Culture, Palacký University, 771 11 Olomouc, Czech Republic)

  • Ferdinand Salonna

    (Institute of Active Lifestyle, Faculty of Physical Culture, Palacký University, 771 11 Olomouc, Czech Republic)

Abstract

To achieve a healthy lifestyle, adolescents must be physically active and meet physical activity (PA) guidelines. One of the most natural ways of increasing the amount of PA is active commuting (AC) to school. Recent reviews suggest that peer norms have the potential to shape PA during adolescence in particular. Thus, our primary aim was to investigate whether Czech adolescents misperceive their peers’ AC behaviors and attitudes towards AC. Our dataset comprised cross-sectional data on 1586 adolescents aged 11–15 years. Basic descriptive statistics, chi-square tests, and correlation analyses were used to analyze the data. Regarding traveling to school, 68% of the Czech adolescents in this study are daily active commuters (walking, cycling, or riding a scooter or skateboard). Less than half of the respondents believed that most of their classmates were commuting to school actively almost daily. The students who believed that most of their classmates commuted to school actively had significantly higher chances of being regular active commuters themselves. The results showed that most of the Czech adolescents misperceived the AC norms of their peers. Thus, there could be potential in using a social norms approach aimed at increasing the level of AC in Czech adolescents through targeted interventions.

Suggested Citation

  • Michal Vorlíček & Petr Baďura & Josef Mitáš & Peter Kolarčik & Lukáš Rubín & Jana Vašíčková & Ferdinand Salonna, 2020. "How Czech Adolescents Perceive Active Commuting to School: A Cross-Sectional Study," IJERPH, MDPI, vol. 17(15), pages 1-10, August.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:15:p:5562-:d:393256
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/15/5562/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/15/5562/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Di Ciommo, Floridea & Comendador, Julio & López-Lambas, María Eugenia & Cherchi, Elisabetta & Ortúzar, Juan de Dios, 2014. "Exploring the role of social capital influence variables on travel behaviour," Transportation Research Part A: Policy and Practice, Elsevier, vol. 68(C), pages 46-55.
    2. Yaira Barranco-Ruiz & Alfredo Xavier Guevara-Paz & Robinson Ramírez-Vélez & Palma Chillón & Emilio Villa-González, 2018. "Mode of Commuting to School and Its Association with Physical Activity and Sedentary Habits in Young Ecuadorian Students," IJERPH, MDPI, vol. 15(12), pages 1-12, November.
    3. Matt Biggar, 2019. "Unpacking the influence of social norms and past experience on commute mode choice," Journal of Behavioral Public Administration, Center for Experimental and Behavioral Public Administration, vol. 2(1).
    4. Sherwin, Henrietta & Chatterjee, Kiron & Jain, Juliet, 2014. "An exploration of the importance of social influence in the decision to start bicycling in England," Transportation Research Part A: Policy and Practice, Elsevier, vol. 68(C), pages 32-45.
    5. Stuart J. Fairclough & Danielle L. Christian & Pedro F. Saint-Maurice & Paul R. Hibbing & Robert J. Noonan & Greg J. Welk & Philip M. Dixon & Lynne M. Boddy, 2019. "Calibration and Validation of the Youth Activity Profile as a Physical Activity and Sedentary Behaviour Surveillance Tool for English Youth," IJERPH, MDPI, vol. 16(19), pages 1-17, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wei, Fangfang & Jia, Ning & Ma, Shoufeng, 2016. "Day-to-day traffic dynamics considering social interaction: From individual route choice behavior to a network flow model," Transportation Research Part B: Methodological, Elsevier, vol. 94(C), pages 335-354.
    2. Zhang, Guijie & Wei, Fangfang & Jia, Ning & Ma, Shoufeng & Wu, Yi, 2019. "Information adoption in commuters’ route choice in the context of social interactions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 300-316.
    3. Downward, Paul & Rasciute, Simona, 2015. "Assessing the impact of the National Cycle Network and physical activity lifestyle on cycling behaviour in England," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 425-437.
    4. Benti Geleta Buli & Annika Tillander & Terence Fell & Katarina Bälter, 2022. "Active Commuting and Healthy Behavior among Adolescents in Neighborhoods with Varying Socioeconomic Status: The NESLA Study," IJERPH, MDPI, vol. 19(7), pages 1-13, March.
    5. Mathieu Lambotte & Sandrine Mathy & Anna Risch & Carole Treibich, 2022. "Spreading active transportation: peer effects and key players in the workplace," Post-Print hal-03702684, HAL.
    6. Maness, Michael & Cirillo, Cinzia, 2016. "An indirect latent informational conformity social influence choice model: Formulation and case study," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 75-101.
    7. Aldred, Rachel & Woodcock, James, 2015. "Reframing safety: An analysis of perceptions of cycle safety clothing," Transport Policy, Elsevier, vol. 42(C), pages 103-112.
    8. Matt Biggar, 2019. "Unpacking the influence of social norms and past experience on commute mode choice," Journal of Behavioral Public Administration, Center for Experimental and Behavioral Public Administration, vol. 2(1).
    9. Yiling Deng & Pengjun Zhao, 2023. "The determinants of shared bike use in China," Transportation, Springer, vol. 50(1), pages 1-23, February.
    10. Xia, Jianhong(Cecilia) & Nesbitt, Joshua & Daley, Rebekah & Najnin, Arfanara & Litman, Todd & Tiwari, Surya Prasad, 2016. "A multi-dimensional view of transport-related social exclusion: A comparative study of Greater Perth and Sydney," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 205-221.
    11. Fernando Rodríguez-Rodríguez & Francisco Javier Huertas-Delgado & Yaira Barranco-Ruiz & María Jesús Aranda-Balboa & Palma Chillón, 2020. "Are the Parents’ and Their Children’s Physical Activity and Mode of Commuting Associated? Analysis by Gender and Age Group," IJERPH, MDPI, vol. 17(18), pages 1-16, September.
    12. Maness, Michael & Cirillo, Cinzia & Dugundji, Elenna R., 2015. "Generalized behavioral framework for choice models of social influence: Behavioral and data concerns in travel behavior," Journal of Transport Geography, Elsevier, vol. 46(C), pages 137-150.
    13. Sadri, Arif Mohaimin & Ukkusuri, Satish V. & Gladwin, Hugh, 2017. "Modeling joint evacuation decisions in social networks: The case of Hurricane Sandy," Journal of choice modelling, Elsevier, vol. 25(C), pages 50-60.
    14. Pike, Susan & Lubell, Mark, 2018. "The conditional effects of social influence in transportation mode choice," Research in Transportation Economics, Elsevier, vol. 68(C), pages 2-10.
    15. Gabriella Mazzulla & Maria Grazia Bellizzi & Laura Eboli & Carmen Forciniti, 2021. "Cycling for a Sustainable Touristic Mobility: A Preliminary Study in an Urban Area of Italy," IJERPH, MDPI, vol. 18(24), pages 1-12, December.
    16. Pan, Xiaofeng & Rasouli, Soora & Timmermans, Harry, 2019. "Modeling social influence using sequential stated adaptation experiments: A study of city trip itinerary choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 652-672.
    17. Verma, Meghna & Rahul, T.M. & Vinayak, Pragun & Verma, Ashish, 2018. "Influence of childhood and adulthood attitudinal perceptions on bicycle usage in the Bangalore city," Journal of Transport Geography, Elsevier, vol. 72(C), pages 94-105.
    18. Ruben Cordera & Pierluigi Coppola & Luigi dell’Olio & Ángel Ibeas, 2017. "Is accessibility relevant in trip generation? Modelling the interaction between trip generation and accessibility taking into account spatial effects," Transportation, Springer, vol. 44(6), pages 1577-1603, November.
    19. Scheiner, Joachim, 2020. "Changes in travel mode use over the life course with partner interactions in couple households," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 791-807.
    20. Agyeman, Stephen & Cheng, Lin, 2020. "Analysis of barriers to perceived service quality in Ghana: Students’ perspectives on bus mobility attributes," Transport Policy, Elsevier, vol. 99(C), pages 63-85.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:17:y:2020:i:15:p:5562-:d:393256. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.