IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v16y2018i1p53-d193298.html
   My bibliography  Save this article

Active Commuting Behaviours from High School to University in Chile: A Retrospective Study

Author

Listed:
  • Maribel Parra-Saldías

    (Grupo IRyS, School of Physical Education, Pontificia Universidad Católica de Valparaíso, Viña de Mar 2520000, Chile)

  • Jose Castro-Piñero

    (Department of Physical Education, Faculty of Education Sciences, University of Cadiz, Puerto Real 11519, Spain)

  • Antonio Castillo Paredes

    (School of Pedagogy in Physical Education, Faculty of Education, University of the Americas, Santiago 8370035, Chile
    School of Doctorate and Research, Doctoral Program in Physical Activity and Sports, European University of Madrid, Madrid 28670, Spain)

  • Ximena Palma Leal

    (Department of Physical Education, Sports and Recreation, Technical University Federico Santa María, Valparaíso 2390123, Chile)

  • Ximena Díaz Martínez

    (Quality of Life Research Group, Department of Education Sciences, Universidad del Biobío, Chillán 3780000, Chile)

  • Fernando Rodríguez-Rodríguez

    (Grupo IRyS, School of Physical Education, Pontificia Universidad Católica de Valparaíso, Viña de Mar 2520000, Chile)

Abstract

Objective : To compare the differences in the modes and distance of the displacements in high school and university stage in the same sample. Methods : A total of 1288 volunteer university students (614 males and 674 females) participated, with an average age of 22.7 ± 5.8 years, belonging to four private and public universities in Chile where a validated self-report questionnaire was applied to the study, which included the modes, travel time, and distance at school and university. Results : The active commuting decreases from school to university when leaving home (males: 39.6% to 34.0%; p = 0.033 and females: 32.9% to 18.5%, p < 0.001), as well as when returning (males: 44.1% to 33.7%; p < 0.001 and females: 38.6% to 17.6%, p < 0.001). Conversely, non-active modes of transport increase, especially in females (go: 67.1% to 81.4%, return: 61.5% to 82.6%), affected by the increase in the use of public transportation in university. It was also defined that at both school and at university, the active commuting decreases the greater the distance travelled. Conclusion : The active modes of commuting decreased between high school and university and the non-active mode of commuting was the most frequent form of mobility to high school and university, observing that the active trips decreased when the distance from the home to high school or university increased. Public and private intervention policies and strategies are required to maintain or increase the modes of active commuting in the university stage for an active life in adulthood.

Suggested Citation

  • Maribel Parra-Saldías & Jose Castro-Piñero & Antonio Castillo Paredes & Ximena Palma Leal & Ximena Díaz Martínez & Fernando Rodríguez-Rodríguez, 2018. "Active Commuting Behaviours from High School to University in Chile: A Retrospective Study," IJERPH, MDPI, vol. 16(1), pages 1-11, December.
  • Handle: RePEc:gam:jijerp:v:16:y:2018:i:1:p:53-:d:193298
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/16/1/53/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/16/1/53/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chris Rissel & Corinne Mulley & Ding Ding, 2013. "Travel Mode and Physical Activity at Sydney University," IJERPH, MDPI, vol. 10(8), pages 1-15, August.
    2. Fernando Rodríguez-Rodríguez & Carlos Cristi-Montero & Carlos Celis-Morales & Danica Escobar-Gómez & Palma Chillón, 2017. "Impact of Distance on Mode of Active Commuting in Chilean Children and Adolescents," IJERPH, MDPI, vol. 14(11), pages 1-9, November.
    3. Susan Handy & Bert van Wee & Maarten Kroesen, 2014. "Promoting Cycling for Transport: Research Needs and Challenges," Transport Reviews, Taylor & Francis Journals, vol. 34(1), pages 4-24, January.
    4. Chris Rissel & Nada Curac & Mark Greenaway & Adrian Bauman, 2012. "Physical Activity Associated with Public Transport Use—A Review and Modelling of Potential Benefits," IJERPH, MDPI, vol. 9(7), pages 1-25, July.
    5. William Boyce & Torbjorn Torsheim & Candace Currie & Alessio Zambon, 2006. "The Family Affluence Scale as a Measure of National Wealth: Validation of an Adolescent Self-Report Measure," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 78(3), pages 473-487, September.
    6. Shannon, Tya & Giles-Corti, Billie & Pikora, Terri & Bulsara, Max & Shilton, Trevor & Bull, Fiona, 2006. "Active commuting in a university setting: Assessing commuting habits and potential for modal change," Transport Policy, Elsevier, vol. 13(3), pages 240-253, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Joachim Bachner & Xavier García-Massó & Isabel Castillo & Filip Mess & Javier Molina-García, 2022. "Do Active Commuters Feel More Competent and Vital? A Self-Organizing Maps Analysis in University Students," IJERPH, MDPI, vol. 19(12), pages 1-18, June.
    2. Ximena Palma-Leal & Palma Chillón & Víctor Segura-Jiménez & Alejandro Pérez-Bey & Alejandro Sánchez-Delgado & Daniel Camiletti-Moirón, 2022. "Commuting to University: Self-Reported and Device-Measured Physical Activity and Sedentary Behaviour," Sustainability, MDPI, vol. 14(22), pages 1-12, November.
    3. Ximena Palma-Leal & Fernando Rodríguez-Rodríguez & Pablo Campos-Garzón & Antonio Castillo-Paredes & Palma Chillón, 2021. "New Self-Report Measures of Commuting Behaviors to University and Their Association with Sociodemographic Characteristics," IJERPH, MDPI, vol. 18(23), pages 1-14, November.

    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. Antonio Castillo-Paredes & Natalia Inostroza Jiménez & Maribel Parra-Saldías & Ximena Palma-Leal & José Luis Felipe & Itziar Págola Aldazabal & Ximena Díaz-Martínez & Fernando Rodríguez-Rodríguez, 2021. "Environmental and Psychosocial Barriers Affect the Active Commuting to University in Chilean Students," IJERPH, MDPI, vol. 18(4), pages 1-14, February.
    2. Ximena Palma-Leal & Fernando Rodríguez-Rodríguez & Pablo Campos-Garzón & Antonio Castillo-Paredes & Palma Chillón, 2021. "New Self-Report Measures of Commuting Behaviors to University and Their Association with Sociodemographic Characteristics," IJERPH, MDPI, vol. 18(23), pages 1-14, November.
    3. Lina Engelen & Erika Bohn-Goldbaum & Melanie Crane & Martin Mackey & Chris Rissel, 2019. "Longer, More Active Commute, but Still not Very Active: Five-Year Physical Activity and Travel Behavior Change in a University Population," IJERPH, MDPI, vol. 16(13), pages 1-10, July.
    4. Biehl, Alec & Ermagun, Alireza & Stathopoulos, Amanda, 2019. "Utilizing multi-stage behavior change theory to model the process of bike share adoption," Transport Policy, Elsevier, vol. 77(C), pages 30-45.
    5. Mia Hakovirta & Johanna Kallio, 2016. "Children’s Perceptions of Poverty," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 9(2), pages 317-334, June.
    6. Koglin, Till, 2015. "Organisation does matter – planning for cycling in Stockholm and Copenhagen," Transport Policy, Elsevier, vol. 39(C), pages 55-62.
    7. Jaroslava Kopcakova & Zuzana Dankulincova Veselska & Andrea Madarasova Geckova & Daniel Klein & Jitse P. Dijk & Sijmen A. Reijneveld, 2018. "Are school factors and urbanization supportive for being physically active and engaging in less screen-based activities?," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 63(3), pages 359-366, April.
    8. Jie Gao & Dick Ettema & Marco Helbich & Carlijn B. M. Kamphuis, 2019. "Travel mode attitudes, urban context, and demographics: do they interact differently for bicycle commuting and cycling for other purposes?," Transportation, Springer, vol. 46(6), pages 2441-2463, December.
    9. William Villegas-Ch & Xavier Palacios-Pacheco & Sergio Luján-Mora, 2019. "Application of a Smart City Model to a Traditional University Campus with a Big Data Architecture: A Sustainable Smart Campus," Sustainability, MDPI, vol. 11(10), pages 1-28, May.
    10. Heidi Carlerby & Eija Viitasara & Anders Knutsson & Katja Gillander Gådin, 2011. "Subjective health complaints among boys and girls in the Swedish HBSC study: focussing on parental foreign background," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 56(5), pages 457-464, October.
    11. Molloy, Joseph & Schatzmann, Thomas & Schoeman, Beaumont & Tchervenkov, Christopher & Hintermann, Beat & Axhausen, Kay W., 2021. "Observed impacts of the Covid-19 first wave on travel behaviour in Switzerland based on a large GPS panel," Transport Policy, Elsevier, vol. 104(C), pages 43-51.
    12. Brock Boudreau & Christiane Poulin, 2009. "An examination of the validity of the Family Affluence Scale II (FAS II) in a general adolescent population of Canada," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 94(1), pages 29-42, October.
    13. Alexandros Nikitas, 2019. "How to Save Bike-Sharing: An Evidence-Based Survival Toolkit for Policy-Makers and Mobility Providers," Sustainability, MDPI, vol. 11(11), pages 1-17, June.
    14. Jaroslava Voráčová & Erik Sigmund & Dagmar Sigmundová & Michal Kalman, 2016. "Family Affluence and the Eating Habits of 11- to 15-Year-Old Czech Adolescents: HBSC 2002 and 2014," IJERPH, MDPI, vol. 13(10), pages 1-11, October.
    15. Corominas, Mari & González-Carrasco, Mònica & Casas, Ferran, 2021. "Analyzing factors for an optimum play environment through children’s subjective well-being indicators," Children and Youth Services Review, Elsevier, vol. 122(C).
    16. Elgar, Frank J. & De Clercq, Bart & Schnohr, Christina W. & Bird, Phillippa & Pickett, Kate E. & Torsheim, Torbjørn & Hofmann, Felix & Currie, Candace, 2013. "Absolute and relative family affluence and psychosomatic symptoms in adolescents," Social Science & Medicine, Elsevier, vol. 91(C), pages 25-31.
    17. Ma, Liang & Ye, Runing, 2019. "Does daily commuting behavior matter to employee productivity?," Journal of Transport Geography, Elsevier, vol. 76(C), pages 130-141.
    18. Natalia Arias & María Dolores Calvo & José Alberto Benítez-Andrades & María José Álvarez & Beatriz Alonso-Cortés & Carmen Benavides, 2018. "Socioeconomic Status in Adolescents: A Study of Its Relationship with Overweight and Obesity and Influence on Social Network Configuration," IJERPH, MDPI, vol. 15(9), pages 1-17, September.
    19. Rotaris, Lucia & Danielis, Romeo, 2014. "The impact of transportation demand management policies on commuting to college facilities: A case study at the University of Trieste, Italy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 127-140.
    20. Selima Sultana & Hyojin Kim & Nastaran Pourebrahim & Firoozeh Karimi, 2018. "Geographical Assessment of Low-Carbon Transportation Modes: A Case Study from a Commuter University," Sustainability, MDPI, vol. 10(8), pages 1-23, August.

    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:16:y:2018:i:1:p:53-:d:193298. 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.