Young people and the private car: A love-hate relationship

Bayart, Caroline; Havet, Nathalie; Bonnel, Patrick; Bouzouina, Louafi

doi:10.1016/j.trd.2020.102235

Cited by 35 publications

(18 citation statements)

References 30 publications

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“…Nonetheless, a mobility countertrend surfaced among younger generations. In line with previous research, our results corroborate H1: a decrease in private mobility levels among new generations of young adults [10,11,28]. While the previous literature found that young men dropped driving at a higher rate than women [8,12], and attributed this phenomenon to an 'urban renaissance' [9], the generational countertrend reported in the BMR was not associated with either gender or geographical…”

Section: Discussionsupporting

confidence: 92%

“…Hence, younger cohorts are reported to have lower car use and motorization rates that are mainly due to their delayed entrance into the job market and other related life events. Together with that, lower income levels and the affinity of younger generations for urban living contribute to explaining their lower levels of car dependency [10,27,28]. Notwithstanding, [12] identified a continued spatial extension of overall mobility and a switch from short-distance car travel to long-distance (air) travel.…”

Section: Generational and Gendered Mobility Trendsmentioning

confidence: 96%

“…By contrast, new generations of young women have experienced an increase in their driving levels [8,9]. While some authors have reported a 'gender turnaround', whereby young women have travelled more by car than young men [8,9], convergence has not completely eliminated the gender gap in other geographical contexts [12,22,28,30], particularly among older adults [5]. New generations of older adults have substantially increased their car use, especially women [5,8,12].…”

Section: Generational and Gendered Mobility Trendsmentioning

confidence: 99%

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Gender and Age Differences in Metropolitan Car Use. Recent Gender Gap Trends in Private Transport

2020

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Urban mobility is currently undergoing significant changes in cities worldwide, as gendered mobilities are converging and automobility is on a downward trend among younger cohorts. The aim of this study was to examine the dynamics of gendered mobilities over generations and across three different urban contexts in the Barcelona Metropolitan Region (northeast Spain), in an effort to understand whether the mobility gender gap is closing and whether young adults have lowered their private transport levels. Generalized linear models were built to analyze travel survey data from the Working Day Mobility Survey (EMEF) to comprehend mobility changes between 2008 and 2018. The study identified a generational countertrend among new generations of young adults, who reported more sustainable mobility practices than their predecessors. Furthermore, results show a general trend towards gender convergence of travel behavior on the outskirts of the Barcelona Metropolitan Region, but also a tendency towards gender divergence in the core area of Barcelona City. Since the mobility gender gap is closer to convergence in those areas where private transport use is more widespread, future efforts towards achieving climate objectives should aim at decoupling such gender convergence from car-dependent built environments.

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Section: Discussionsupporting

confidence: 92%

Section: Generational and Gendered Mobility Trendsmentioning

confidence: 96%

Section: Generational and Gendered Mobility Trendsmentioning

confidence: 99%

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Gender and Age Differences in Metropolitan Car Use. Recent Gender Gap Trends in Private Transport

2020

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“…environment awareness, attitude towards cars) ICT (i.e. smart phone and social media use) Graduated Driving License McDonald and Trowbridge ( 2009 ) Raimond and Milthorpe ( 2010 ) Williams ( 2011 ) Licaj et al ( 2012 ) Kuhnimhof et al ( 2012 ) Sivak and Schoettle ( 2012 ) Delbosc and Currie ( 2013 ) Delbosc and Currie ( 2014a ) Delbosc and Currie ( 2014b ) Le Vine et al ( 2014b ) Le Vine and Polak ( 2014 ) Schoettle and Sivak ( 2014 ) Tefft et al ( 2014 ) Brown and Handy ( 2015 ) Ciari and Axhausen ( 2015 ) Curry et al ( 2015 ) Baradaran et al ( 2016 ) Hjorthol ( 2016 ) Delbosc and Nakanishi ( 2017 ) Thigpen and Handy ( 2018 ) Rérat ( 2018 ) Bayart et al ( 2020 ) Vaca et al ( 2020 ) McDonald and Trowbridge ( 2009 ) Raimond and Milthorpe ( 2010 ) Williams ( 2011 ) Licaj et al ( 2012 ) Sivak and Schoettle ( 2012 ) Delbosc and Currie ( 2013 ) Delbosc and Currie ( 2014b ) Le Vine et al ( 2014b ) Le Vine and Polak ( 2014 ) Schoettle and Sivak ( 2014 ) Brown and Handy ( 2015 ) Baradaran et al ( 2016 ) Hjorthol ( 2016 ) Thigpen and Handy ( 2018 ...…”

Section: Literature Reviewmentioning

confidence: 99%

“…One school of thought focuses on changing economic circumstances and external constraints on young people’s mobility. This incorporates candidate explanators such as GDP per capita (Bastian et al 2016 ), declining workforce participation and income levels (Bayart et al 2020 ; Blumenberg et al 2016 ; Delbosc and Currie 2014a ), increasing costs of owning and operating a car (Bastian et al 2016 ; Chatterjee et al 2018 ; Klein and Smart 2017 ), and the advent of mechanisms that have made acquiring a driving license more onerous, time-consuming, and/or expensive (Thigpen and Handy 2018 ).…”

Section: Introductionmentioning

confidence: 99%

Sentiment analysis of popular-music references to automobiles, 1950s to 2010s

Vine

Bengel

et al. 2021

Transportation

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In recent years, there has been a scholarly debate regarding the decrease in automobile-related mobility indicators (car ownership, driving license holding, VMT, etc.). Broadly speaking, two theories have been put forward to explain this trend: (1) economic factors whose impacts are well-understood in principle, but whose occurrence among young adults as a demographic sub-group had been overlooked, and (2) less well-understood shifts in cultural mores, values and sentiment towards the automobile. This second theory is devilishly difficult to study, due primarily to limitations in standard data resources such as the National Household Travel Survey and international peer datasets. In this study we first compiled a database of lyrics to popular music songs from 1956 to 2015 (defined by inclusion in the annual “top 40”), and subsequently identified references to automobiles within this corpus. We then evaluated whether there is support for theory #2 above within popular music, by looking at changes from the 1950s to the 2010s. We demonstrate that the frequency of references to automobility tended for many years to increase over time, however there has more recently been a decline after the late 2000s (decade). In terms of the sentiment of popular music lyrics that reference automobiles, our results are mixed as to whether the references are becoming increasingly positive or negative (machine analysis suggests increasing negativity, while human analysis did not find a significant association), however a consistent observation is that sentiment of automobile references have over time become more positive relative to sentiment of song lyrics overall. We also show that sentiment towards automobile references differs systematically by genre, e.g. automobile references within ‘Rock’ lyrics are in general more negative than similar references to cars in other music genres). The data generated on this project have been archived and made available open access for use by future researchers; details are in the full paper.

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Mobility of Megalopolis Residents and the Concept of “Smart City-2030”

Савин

Raza

2022

Proceedings of the International Scientific Conference “Smart Nations: Global Trends in the Digital Economy”

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Young people and the private car: A love-hate relationship

Cited by 35 publications

References 30 publications

Gender and Age Differences in Metropolitan Car Use. Recent Gender Gap Trends in Private Transport

Gender and Age Differences in Metropolitan Car Use. Recent Gender Gap Trends in Private Transport

Sentiment analysis of popular-music references to automobiles, 1950s to 2010s

Mobility of Megalopolis Residents and the Concept of “Smart City-2030”

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