Travel trends among young adults in Germany: increasing multimodality and declining car use for men

Kuhnimhof, Tobias; Buehler, Ralph; Wirtz, Matthias; Kalinowska, Dominika

doi:10.1016/j.jtrangeo.2012.04.018

Cited by 241 publications

(124 citation statements)

References 20 publications

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“…One example cited of emergent post-automobility is the reduction in the proportion of young people (say under 25 years old) with a driving licence, or owning or having access to a car (Kuhnimhof et al, 2012). This suggests car ownership is no longer important to the urban young who are less likely to embrace automobility later.…”

Section: The Indications Of Post-automobilitymentioning

confidence: 99%

From ‘freedom of the open road’ to ‘cocooning’: Understanding resistance to change in personal private automobility

Wells

Xenias

2015

Environmental Innovation and Societal Transitions

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Section: The Indications Of Post-automobilitymentioning

confidence: 99%

From ‘freedom of the open road’ to ‘cocooning’: Understanding resistance to change in personal private automobility

Wells

Xenias

2015

Environmental Innovation and Societal Transitions

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“…An important contemporary discussion in transport is on the reduction in car ownership and use among millennials, so-called 'peak car' (Delbosc and Currie 2013;Frändberg and Vilhelmson 2011;Kuhnimhof et al 2012b;McDonald 2015;Bastian et al 2016), which has been documented for the UK (DfT 2015c; Kuhnimhof et al 2012a;Le Vine and Jones 2012;McDonald et al 2017;Rohr and Fox 2014). Our analyses showed that individuals aged 30 years or younger had overall higher levels of multimodality, but that this level was decreasing.…”

Section: Discussion Of Trends In Car Use In Relation To Multimodalitymentioning

confidence: 99%

“…However, in Great Britain and Germany, this decline in car travel was (partly) compensated by an increase in travel by other modes of transport. Kuhnimhof et al (2012b) analysed travel trends of young adults aged between 18 and 29 in Germany by use of the MOP. They compared 3 years: 1976They compared 3 years: , 1997They compared 3 years: , and 2007 and found that car access and car use declined for young adults in Germany.…”

Section: Trends In Multimodalitymentioning

confidence: 99%

“…Only a limited number of studies have focussed on trends in multimodality (Kuhnimhof et al 2011;Buehler and Hamre 2016;Kuhnimhof et al 2012aKuhnimhof et al , 2012bStreit et al 2015). The surveillance of trends over time is important to understand the incidence of multimodality, to understand whether multimodality is increasing or decreasing, and to reveal whether the distribution is changing.…”

Section: Introductionmentioning

confidence: 99%

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Does a high level of multimodality mean less car use? An exploration of multimodality trends in England

Heinen

Mattioli

2017

Transportation

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Some existing studies have suggested that a higher level of multimodality-the use of more than one transport mode within a given period of time-may be desirable to achieve societies less dependent on cars. The aim of this study was to investigate the trends in individual multimodality in England. In addition, we explored whether these trends were homogenous, i.e. similar between socio-economic characteristics, and whether changes in multimodality corresponded with changes in car use and the use of other transport modes. Our analyses showed that in contrast to reported trends in existing research, the level of multimodality in England decreased between 1995 and 2015. These trends stratified by income were diverging, which may imply that inequality in transport opportunities may be increasing. In contrast, the trends for age and gender were converging. In addition, we found that the car mode share remained fairly stable and absolute car use decreased since 2004, whilst multimodality decreased. This suggests that there is no necessary relationship between aggregate levels of car use and the average individual level of multimodality. Moreover, our analyses showed that these trends were very similarly independent of which indicator was applied. This indicates that for analysing trends in multimodality, the choice of indicator may not be that important, and indicators that are elementary to calculate and easy to interpret, e.g. number of modes used, highlight trends that are highly consistent with more sophisticated metrics. This paper finishes with a discussion of the implications of these findings.

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“…The experience of developed countries [1][2][3][4] shows that one of the most effective mechanisms to enhance regional competitiveness is clusterization of the socio-economic space of regions [5]. For …”

Section: The Coastal Regions Of Russia Which Ensure the Country's Mamentioning

confidence: 99%

The Kaliningrad Region as a Potential Coastal Transport Cluster

Gumenyuk¹,

Орлов²

2014

Balt. Reg.

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Travel trends among young adults in Germany: increasing multimodality and declining car use for men

Cited by 241 publications

References 20 publications

From ‘freedom of the open road’ to ‘cocooning’: Understanding resistance to change in personal private automobility

From ‘freedom of the open road’ to ‘cocooning’: Understanding resistance to change in personal private automobility

Does a high level of multimodality mean less car use? An exploration of multimodality trends in England

The Kaliningrad Region as a Potential Coastal Transport Cluster

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