A life course perspective on the travel of Australian millennials

Delbosc, Alexa; Nakanishi, Hitomi

doi:10.1016/j.tra.2017.03.014

Cited by 43 publications

(47 citation statements)

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“…Wang et al (2017) analysed holiday travel behaviour dynamics using IMTI (Integrated Multimodal Travel Information), based on the life-oriented approach, and found that life biography is affected not only by personal life course but also by the external background of the times. Delbosc and Nakanishi (2017) found that among many millennials in Australia, few showed a strong preference for cars, but as they approached adult milestones (e.g. having children, finding suitable housing near public transit), they came to feel they had no choice but to own a car.…”

Section: Introductionmentioning

confidence: 99%

Subjective well-being in China: how much does commuting matter?

Zhu

Chen

et al. 2017

Transportation

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With rapidly increasing urbanization and motorization in China, the effect of commuting on residents' subjective well-being (SWB) is likely growing. We used 13,261 individual, 124 city, and 401 neighbourhood samples from the 2014 China Labour-Force Dynamics Survey (CLDS 2014) and applied multilevel mixed-effects ordered probit regressions to investigate the relationship between commuting and SWB. We found huge differences between urban and rural areas in relation to commuting. Urban respondents' daily average commuting time was 0.56 h while rural respondents' daily average commuting time was 0.41 h. Further, the daily average commute time for residents living in cities with high urbanization rates ([ 70%) was longer than for those living in cities with low urbanization rates (\ 70%). The subjective well-being of residents who commute by walking or cycling was significantly lower than that of those who commute by other transportation modes. The regression results indicated that the longer the commute time, the lower the subjective well-being. Among residents who live in rural areas or cities with low urbanization, subjective well-being was more easily affected by commuting time.

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Section: Introductionmentioning

confidence: 99%

Subjective well-being in China: how much does commuting matter?

Zhu

Chen

et al. 2017

Transportation

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“…Recently, researchers have addressed the question of whether young persons behave differently in a more fundamental way. Several studies have reported changes in travel behavior for the millennial generation (for US: Circella et al 2017;McDonald 2015;Thigpen and Handy 2018; for the UK: Chatterjee et al 2018;for Australia: Delbosc and Currie 2014a, b;Delbosc and Nakanishi 2017;Raimond and Milthorpe 2010;for Germany: Bohnet and Gertz 2010;Kuhnimhof et al 2012;for France: Licaj et al 2012;for Japan: Zhang et al 2017). These studies have observed changes in travel behavior that include postponed acquisition of driver's license, lower car ownership, less car driving and more use of public transport.…”

Section: Life Stage Influences Travel Behaviormentioning

confidence: 99%

“…Although car ownership was lower for millennials especially for those living in urban cores, older millennials indicated the desire to purchase a car in the future, thereby supporting the hypothesis of a temporary change in behavior. Though millennials may prefer urban centers for living, they may be obliged to locate in suburban areas at later life stages due to high housing prices and then switch to car use (Delbosc and Nakanishi 2017).…”

Section: Life Stage Influences Travel Behaviormentioning

confidence: 99%

“…Cohabitation allows partners to pool resources and may increase car use (Scheiner and Holz-Rau 2013). The wish to purchase property often overlays with the life stage of parenthood or advanced professional career (Thierstein et al 2016), but constrained housing markets often drive parents to locate in more car-dependent suburban areas to meet their demand for property and living space (Delbosc and Nakanishi 2017;Gehrke et al 2019;Thierstein et al 2016). In a Dutch study, young persons (aged 30 years or less) had a higher likelihood compared to older persons of giving up bicycle commute whereas no significant effects were found for persons older than 50 years (Oakil et al 2016).…”

Section: The Moderating Role Of Life Stage On the Effect Of Life Evenmentioning

confidence: 99%

“…Recent research suggests that young persons of the millennial generation behave differently, a phenomenon partly explained by a delay in life stage. More specifically, several studies show generational differences between "millennials" and members of "generation X" with respect to car ownership, transit use, and residential location preferences (for California, US: Circella et al 2017;Thigpen and Handy 2018; for the UK: Chatterjee et al 2018; for Australia: Delbosc and Currie 2014a, b;Delbosc and Nakanishi 2017;Raimond and Milthorpe 2010; for Germany: Bohnet and Gertz 2010;Kuhnimhof et al 2012;for France: Licaj et al 2012; for Japan: . Though these may represent durable differences between generations, they also may be temporary and reflect delays in transitioning to other life stages (Delbosc and Currie 2013;McDonald 2015).…”

Section: Introductionmentioning

confidence: 99%

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Examining the effect of life course events on modality type and the moderating influence of life stage

2020

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Previous research has demonstrated the relevance of life events to explain changes in travel behavior. Less clear is the moderating role played by life stages on the relationship between life events and travel behavior. Our goal in this study is to explore how the influence of life events on travel behavior differs by life stage. We use data from a travel survey of faculty, staff and students at a US university. We define four life stages: millennials living in shared apartments or alone, millennials living with partners, parents (of any generation) living with their children, and non-millennial adults living without children. Four modality types were defined: active travelers, car users, transit users, and multimodal travelers. We use a Manifest Markov Model to estimate probabilities of switching modality types between two waves of the survey. Life stage does not significantly moderate effects of life events on change in travel behavior but does affect modality type: the prevalence of active travel modality types, particularly the share of women who are active travelers, decreases throughout the life stages. Millennials living with their partners and parents living with their children relocate to another town more often than those in other life stages, a life event associated with a higher probability of switching to car use only. Our results identify "windows of opportunity", such as residential relocation, that planners can use to promote sustainable travel behavior.

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Acceptability and perceived feasibility of strategies to increase public transport use for physical activity gain – A mixed methods study

Sharman

Lyth²,

Jose

et al. 2019

Health Prom J of Aust

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Issue addressed: Public transport (PT) users typically accumulate more physical activity (PA) than motor vehicle users. This mixed methods study aimed to determine acceptability and perceived effectiveness of strategies to increase bus use for PA gain in a regional Australian setting. Methods: In a 2017 online survey, Tasmanian adults (n = 1091) rated the likelihood of increasing their bus use according to ten hypothetical strategies (fare-, incentives-, information-or infrastructure-based). Three focus groups and five interviews (n = 31) included infrequent bus users from the survey to determine reasons for strategy preferences and potential impact on PA. Results: The top three strategies in the survey, with supporting rationale from qualitative data, were: provision of real-time bus information ("…because I can better plan…"); bus-only lanes ("…it just speeds the whole thing up…") and employee incentives/rewards for example bus fare credits ("…it really comes down to money…"). Fulltime students favoured cost-saving strategies most and residents in outer suburbs favoured infrastructure-based strategies most. Qualitative data indicated that potential for enhanced certainty, efficiency or cost-savings drove strategy preferences and some strategies may lead to PA gain (eg through the location of Park and Ride facilities). Conclusions: Real-time information, bus-only lanes and employee incentives/rewards appear most promising for increasing bus use in this population, but tailoring strategies may be required. Discrete PT enhancement strategies may result in PA gain. So what? Increasing PA through transport behaviour has been underexplored. The potential for PA gain through greater PT use and discrete PT use enhancement strategies is an important public health consideration. | 505 SHARMAN et Al.

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A life course perspective on the travel of Australian millennials

Cited by 43 publications

References 50 publications

Subjective well-being in China: how much does commuting matter?

Subjective well-being in China: how much does commuting matter?

Examining the effect of life course events on modality type and the moderating influence of life stage

Acceptability and perceived feasibility of strategies to increase public transport use for physical activity gain – A mixed methods study

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