‘Daily Drags’ and ‘Wannabe Walkers’ – Identifying dissatisfied public transport users who might travel more actively and sustainably

Bösehans, Gustav; Walker, Ian

doi:10.1016/j.jth.2016.06.011

Cited by 8 publications

(7 citation statements)

References 57 publications

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“…Mode Mixers, as identified in previous research by the authors (Bösehans and Walker 2016), are 'open to all possibilities' (see also Kaufmann 2000). They have a very strong desire for independence (highest mean overall), regardless of the travel alternative chosen, suggesting that any mode, or any combination of modes, has the potential to fulfil the desire for independence and a given person's mode choice is likely influenced by the desire for this.…”

Section: Cluster Interpretationsmentioning

confidence: 74%

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Do supra-modal traveller types exist? A travel behaviour market segmentation using Goal framing theory

Bösehans

Walker

2018

Transportation

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Travel behaviour market segmentations have become a popular method of identifying different types of car users, bicyclists or public transport users. However, while previous studies have looked at different types of users within single modes, such as the car, little research has explored the existence of traveller types transcending modes. The study presented here is an extension of an earlier segmentation study that distinguished travellers based on their individual preferences, yet did so independent of their current mode choice. The data came from a travel survey at a middle-sized UK university and were analysed using a combination of hierarchical and iterative partitioning methods. Crucially, however, the current study uses a different theoretical framework to previous segmentation research-goal framing theory-which may more adequately explain the findings than models used in the past such as the theory of planned behaviour. The findings supported earlier work, suggesting the presence of seemingly stable traveller types that cut across modes and can be distinguished based on gain, hedonic and normative goals. This has important implications for policies aimed at encouraging mode change which may have been too preoccupied with changing people's attitudes rather than paying attention to people's underlying travel preferences.

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Section: Cluster Interpretationsmentioning

confidence: 74%

“…Below, a brief interpretation of each of the three supra-modal mobility types is offered (see also Table 8 for a summary), including a fourth type that was distinguished among students and fitted the results of an earlier segmentation study by the authors (Bösehans and Walker 2016).…”

Section: Cluster Interpretationsmentioning

confidence: 89%

Do supra-modal traveller types exist? A travel behaviour market segmentation using Goal framing theory

Bösehans

Walker

2018

Transportation

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“…Central locations are more conducive to the adoption of greener and non-auto commute modes (and/or may reinforce the propensity of young adults to use such modes or to adopt multimodal travel). In addition to this [2] the Generation Y cohort generally have lower rates of driver licensing, vehicle registration and car ownership, in addition to their increased rates of public transport usage. These trends have been observed in many countries around the world, including the USA, Australia, Canada, Japan, the UK and many other European counties.…”

Section: Generationsmentioning

confidence: 99%

“…In this sample, 88% of bus users lived within a four mile radius of the university campus, supporting the notion that bus trips can be sufficiently short to be undertaken by either walking or cycling. [2] Further research has been done in Great Montreal [12] and New Zealand with focus group depth interviews and online surveys. [27] The conclusions are very similar.…”

Section: Generationsmentioning

confidence: 99%

Transport Habits and Preferences of Generations — Does it Matter, Regarding the State of The Art?

2019

APH

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Every single day we spend one hour, on average, with travelling and this value has not changed for decades. According to the Hungarian timescale statistics, approximately one hour per day, on average, has been spent on travelling for the last 30 years. The world, however, has changed a lot in 30 years and one the best examples for this is the quick sequence of generations. Currently, there are at least four generations at the same time. The current study briefly introduces each generation, then discusses the differences and preferences in the travelling habits of generations who are present in the labor market. The aim of this study is to give a structured preliminary research plan, based on the state of the art. Therefore, the problems of further empirical research is reasoned and a well-structured research plan can be specified. Later, this conceptual model helps us to study and understand travel habits and preferences of various generations.

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“…As a recent pedestrian visitor to a city with high ebike use (apparently primarily as a low cost substitute for car use), I can vouch for how fast these go! One of the papers in this issue is more controversial, as it poses the challenge whether bus passengers should be encouraged to walk or cycle (Bosehans and Walker, 2016). Although public transport use is generally better for the environment, and non-car users than private motor car use, and there can be physical activity benefits for passengers, Bosehans and Walker argue that bus passengers unhappy with their commute journeys could benefit from moving to active commuting and that a group can be identified who would be more likely to make this change.…”

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confidence: 99%

Methods, theory, and behaviour change

Mindell¹

2016

Journal of Transport & Health

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Methods, theory, and behaviour change Adequate methods for studying the effects of policies and interventions on the interactions between transport and health are important for increasing our understanding of the field. This issue includes a number of papers that have developed or used new methodological approaches, or combined data sources in innovative ways. Many existing methods of measuring physical activity and behaviour are labour intensive or subject to reporting bias and it is encouraging to see novel approaches of reliably quantifying data using new technology. Many of the papers in this issue have used new approaches to address the critical issue of measuring and supporting increases in active travel, a key policy aim for most countries (Hosking et al, 2011).

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‘Daily Drags’ and ‘Wannabe Walkers’ – Identifying dissatisfied public transport users who might travel more actively and sustainably

Cited by 8 publications

References 57 publications

Do supra-modal traveller types exist? A travel behaviour market segmentation using Goal framing theory

Do supra-modal traveller types exist? A travel behaviour market segmentation using Goal framing theory

Transport Habits and Preferences of Generations — Does it Matter, Regarding the State of The Art?

Methods, theory, and behaviour change

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