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Health Promotion Journal of Australia Health Promotion Journal of Australia Society
Journal of the Australian Health Promotion Association
RESEARCH ARTICLE (Open Access)

Satisfaction with transport and enjoyment of the commute by commuting mode in inner Sydney

Chris Rissel A D , Melanie Crane A , Li Ming Wen A B , Stephen Greaves C and Chris Standen C
+ Author Affiliations
- Author Affiliations

A Sydney School of Public Health, D17 Charles Perkins Centre, University of Sydney, Camperdown, NSW 2050, Australia.

B Health Promotion Unit, Level 9, King George V Building, Sydney Local Health District, NSW 2050, Australia.

C Institute of Transport and Logistics Studies (H73), The University of Sydney Business School, NSW 2006, Australia.

D Corresponding author. Email: chris.rissel@sydney.edu.au

Health Promotion Journal of Australia 27(1) 80-83 https://doi.org/10.1071/HE15044
Submitted: 21 May 2015  Accepted: 15 October 2015   Published: 10 December 2015

Journal Compilation © Australian Health Promotion Association 2016

Abstract

Issue addressed: Travel satisfaction has become an increasingly popular construct for the assessment and monitoring of transport systems and services. However, satisfaction may not adequately assess emotion or mood towards walking and cycling, especially when infrastructure is biased towards motor vehicle modes. In this exploratory study we sought to examine the associations of both satisfaction with transport and enjoyment from the commute to work or study by commute mode in an Australian inner city context where transport mode choices are readily available.

Methods: As part of the Sydney Transport and Health Study, 675 baseline study participants (2013) were invited to complete an online questionnaire in September/October 2014 and 512 did so (76% response rate). Participants who did not travel to work were removed from analyses, giving complete data for 473. Participants provided data on usual travel mode to work or study, satisfaction with transport, enjoyment from their commute, and demographics and neighbourhood factors.

Results: The main mode of travel to work or study in this inner city sample was public transport (41%), followed by motor vehicle (27%), walking (21%) and cycling (10%). Most participants were satisfied with their transport (82%), with little variation by mode. Walkers (49%) and cyclists (52%) reported far higher levels of enjoyment from their commute than car drivers (14%) or public transport users (10%), with an adjusted odds ratio of 6.18 (95% confidence interval 3.10–12.29, P < 0.001) for walking and an adjusted odds ratio of 6.15 (95% confidence interval 2.68–14.08, P < 0.001) for cycling.

Conclusions: People who walked or cycled to work or study in inner Sydney reported higher levels of enjoyment from their commute compared with those who drove. This suggests enjoyment may be another benefit of active travel.

So what?: Focusing on ‘enjoyment’ associated with walking or cycling to work may be a positive motivator to encourage active travel.


References

[1]  Garrard J, Rissel C, Bauman A. Health benefits of cycling. In Pucher J, Buehler R, editors. City Cycling (pp. 31–55). Cambridge, Massachusetts: MIT Press; 2012.

[2]  Páez A, Whalen K (2010) Enjoyment of commute: a comparison of different transportation modes. Transp Res Part A Policy Pract 44, 537–49.
Enjoyment of commute: a comparison of different transportation modes.Crossref | GoogleScholarGoogle Scholar |

[3]  Daley M, Rissel C, Lloyd B (2007) All dressed up and no-where to go? A qualitative research study of the barriers and enablers to cycling in inner Sydney. Road Transp Res 16, 42–52.

[4]  Gottholmseder G, Nowotny K, Pruckner GJ, Theurl E (2009) Stress perception and commuting. Health Econ 18, 559–76.
Stress perception and commuting.Crossref | GoogleScholarGoogle Scholar | 18709637PubMed |

[5]  Wen LM, Rissel C (2008) Inverse associations between cycling to work, public transport, and overweight and obesity: findings from a population based study in Australia. Prev Med 46, 29–32.
Inverse associations between cycling to work, public transport, and overweight and obesity: findings from a population based study in Australia.Crossref | GoogleScholarGoogle Scholar | 17904210PubMed |

[6]  Rissel C, Petrunoff N, Wen LM, Crane M (2014) Travel to work and self-reported stress: findings from a workplace survey in south west Sydney, Australia. J Transp Health 1, 50–3.
Travel to work and self-reported stress: findings from a workplace survey in south west Sydney, Australia.Crossref | GoogleScholarGoogle Scholar |

[7]  Stopher PR (2004) Reducing road congestion: a reality check. Transp Policy 11, 117–31.
Reducing road congestion: a reality check.Crossref | GoogleScholarGoogle Scholar |

[8]  Zander A, Rissel C, Rogers K, Bauman A. Walking to work in Sydney: analysis of journey-to-work Census data from 2001 and 2011. Sydney: Prevention Research Collaboration, The University of Sydney; 2013.

[9]  Cantwell M, Caulfield B, O’Mahony M (2009) Examining the factors that impact public transport commuting satisfaction. Journal Public Transp 12, 1–21.
Examining the factors that impact public transport commuting satisfaction.Crossref | GoogleScholarGoogle Scholar |

[10]  The European Commission. Europeans’ satisfaction with urban transport – Flash Eurobarometer 382b. Brussels: Directorate-General Mobility and Transport; 2014.

[11]  Morris EA, Guerra E (2015) Mood and mode: does how we travel affect how we feel? Transportation 42, 25–43.
Mood and mode: does how we travel affect how we feel?Crossref | GoogleScholarGoogle Scholar |

[12]  Rissel C, Greaves S, Wen LM, Capon A, Crane M, Standen C (2013) Evaluating the transport, health and economic impacts of new urban cycling infrastructure in Sydney, Australia – protocol paper. BMC Public Health 13, 963
Evaluating the transport, health and economic impacts of new urban cycling infrastructure in Sydney, Australia – protocol paper.Crossref | GoogleScholarGoogle Scholar | 24131667PubMed |

[13]  Petrunoff NA, Xu H, Rissel C, Wen LM, van der Ploeg HP (2013) Measuring workplace travel behaviour: validity and reliability of survey questions. J Environ Public Health 423035
Measuring workplace travel behaviour: validity and reliability of survey questions.Crossref | GoogleScholarGoogle Scholar | 23956757PubMed |

[14]  Murphy B, Herrman H, Hawthorne G, Pinzone T, Evert H. Australian WHOQOL instruments: users’ manual and interpretation guide. Melbourne: Australian WHO Field Study Centre; 2000.

[15]  StataCorp. Stata statistical software: release 13.1. College Station, TX: StataCorp LP; 2014.

[16]  Humpel N, Marshall AL, Leslie E, Bauman A, Owen N (2004) Changes in neighborhood walking are related to changes in perceptions. Ann Behav Med 27, 60–7.
Changes in neighborhood walking are related to changes in perceptions.Crossref | GoogleScholarGoogle Scholar | 14979864PubMed |

[17]  Pucher J, Garrard J, Greaves S (2010) Cycling down under: a comparative analysis of bicycling trends and policies in Sydney and Melbourne. J Transp Geogr 18, 332–45.

[18]  Bize R, Johnson JA, Plotnikoff RC (2007) Physical activity level and health-related quality of life in the general adult population: a systematic review. Prev Med 45, 401–15.
Physical activity level and health-related quality of life in the general adult population: a systematic review.Crossref | GoogleScholarGoogle Scholar | 17707498PubMed |

[19]  Ohta M, Mizoue T, Mishima N, Ikeda M (2007) Effect of the physical activities in leisure time and commuting to work on mental health. J Occup Health 49, 46–52.
Effect of the physical activities in leisure time and commuting to work on mental health.Crossref | GoogleScholarGoogle Scholar | 17314466PubMed |

[20]  Zander A, Passmore E, Mason C, Rissel C (2013) Joy, exercise, enjoyment, getting out: a qualitative study of older people’s experience of cycling in Sydney, Australia. J Environ Public Health 547453