Literature DB >> 26748099

Private and public modes of bicycle commuting: a perspective on attitude and perception.

A Curto1, A de Nazelle2, D Donaire-Gonzalez3, T Cole-Hunter1, J Garcia-Aymerich1, D Martínez1, E Anaya2, D Rodríguez4, M Jerrett5, M J Nieuwenhuijsen6.   

Abstract

BACKGROUND: Public bicycle-sharing initiatives can act as health enhancement strategies among urban populations. The aim of the study was to determine which attitudes and perceptions of behavioural control toward cycling and a bicycle-sharing system distinguish commuters with a different adherence to bicycle commuting.
METHODS: The recruitment process was conducted in 40 random points in Barcelona from 2011 to 2012. Subjects completed a telephone-based questionnaire including 27 attitude and perception statements. Based on their most common one-way commute trip and willingness to commute by bicycle, subjects were classified into Private Bicycle (PB), public bicycle or Bicing Bicycle (BB), Willing Non-bicycle (WN) and Non-willing Non-bicycle (NN) commuters. After reducing the survey statements through principal component analysis, a multinomial logistic regression model was obtained to evaluate associations between attitudinal and commuter sub-groups.
RESULTS: We included 814 adults in the analysis [51.6% female, mean (SD): age 36.6 (10.3) years]. BB commuters were 2.0 times [95% confidence interval (CI) = 1.1-3.7] less likely to perceive bicycle as a quick, flexible and enjoyable mode compared to PB. BB, WN and NN were 2.5 (95% CI = 1.46-4.24), 2.6 (95% CI = 1.53-4.41) and 2.3 times (95% CI = 1.30-4.10) more likely to perceive benefits of using public bicycles (bicycle maintenance and parking avoidance, low cost and no worries about theft and vandalism) than did PB.
CONCLUSION: Willing non-bicycle and public-bicycle commuters had more favourable perception toward public-shared bicycles compared to private cyclists. Hence, public bicycles may be the impetus for those willing to start bicycle commuting, thereby increasing physical activity levels.
© The Author 2016. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved.

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Year:  2016        PMID: 26748099     DOI: 10.1093/eurpub/ckv235

Source DB:  PubMed          Journal:  Eur J Public Health        ISSN: 1101-1262            Impact factor:   3.367


  5 in total

1.  Benefits of Mobile Phone Technology for Personal Environmental Monitoring.

Authors:  David Donaire-Gonzalez; Antònia Valentín; Audrey de Nazelle; Albert Ambros; Glòria Carrasco-Turigas; Edmund Seto; Michael Jerrett; Mark J Nieuwenhuijsen
Journal:  JMIR Mhealth Uhealth       Date:  2016-11-10       Impact factor: 4.773

2.  Understanding Potential Exposure of Bicyclists on Roadways to Traffic-Related Air Pollution: Findings from El Paso, Texas, Using Strava Metro Data.

Authors:  Kyuhyun Lee; Ipek N Sener
Journal:  Int J Environ Res Public Health       Date:  2019-01-29       Impact factor: 3.390

3.  Pursuing softer urban mobility behaviors through game-based apps.

Authors:  Salvatore Di Dio; Francesco Massa; Antonino Nucara; Giorgia Peri; Gianfranco Rizzo; Domenico Schillaci
Journal:  Heliyon       Date:  2020-05-12

4.  Subjective variables in travel behavior models: a critical review and Standardized Transport Attitude Measurement Protocol (STAMP).

Authors:  Nathan Harness; Alexis Consalvo; Matthew Wigginton Bhagat-Conway; Laura Mirtich; Deborah Salon; Shuyao Hong
Journal:  Transportation (Amst)       Date:  2022-09-29       Impact factor: 4.814

5.  Healthy Behavior and Environmental Behavior Correlate with Bicycle Commuting.

Authors:  Qiang Liu; Toshiaki Yamada; Hang Liu; Li Lin; Qiaoling Fang
Journal:  Int J Environ Res Public Health       Date:  2022-03-11       Impact factor: 3.390

  5 in total

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