What is the relationship between online activity and driving-licence-holding amongst young adults?

Vine, Scott Le; Latinopoulos, Charilaos; Polak, John

doi:10.1007/s11116-014-9528-3

Cited by 20 publications

(9 citation statements)

References 17 publications

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“…I find that between 1995 and 2010 the decline in Drivers and increase in Car-less-ness was largely confined to young people with the fewest resources—particularly those with low incomes and/or limited educational attainment (Ralph 2015a, 2015b). Moreover, the preponderance of evidence from the literature supports the first explanation (Mokhtarian 2002, 2009; Delbosc and Currie 2012b; Le Vine et al 2014; Le Vine, Latinopoulos, and Polak 2014). Further research on this topic will help determine whether young people will return to driving when the economy recovers.…”

Section: Resultsmentioning

confidence: 82%

Multimodal Millennials? The Four Traveler Types of Young People in the United States in 2009

Ralph

2016

Journal of Planning Education and Research

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Are young Americans embracing a mix of travel modes? This article identifies four types of travelers to answer that question. Drivers travel almost exclusively by automobile; Long-distance Trekkers drive great distances; Multimodals use a mix of modes; and the Car-less rely on nonautomobile modes and make very few trips. Multimodals were exceedingly rare and eight in ten Millennials used an automobile for nearly every trip as a Driver or Long-distance Trekker. By incorporating multiple facets of travel into a single variable, this research provides valuable information for addressing twenty-first-century policy challenges such as encouraging multimodality and alleviating transportation disadvantage.

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Section: Resultsmentioning

confidence: 82%

Multimodal Millennials? The Four Traveler Types of Young People in the United States in 2009

Ralph

2016

Journal of Planning Education and Research

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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%

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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“…In the 21st century, young persons (also youths), for this study, between the ages 16 to 35 years, are facing numerous socio‐economic, environmental, and political challenges and need to be on the move (mobile) to look for opportunities (King et al, ; Langevang & Gough, ; Noack, ). Further to this, modern societies in which the youths are growing are inundated and dependent on DTs, which can constrict or enhance the mobility of the youths (Le Vine, Latinopoulos, & Polak, , ) since youths adopt modern technologies quicker than older people. The impacts of DTs such as mobile phones on the mobilities of youth and even the elderly in rural communities are still emerging and complex (Norman et al, ; Porter, ).…”

Section: Research Contextmentioning

confidence: 99%

Digital technologies and youth mobility in ruralZimbabwe

Gwaka

2018

E J Info Sys Dev Countries

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The adoption and use of digital technologies (DTs) in rural communities have an impact on several aspects of the society. Using empirical evidence from selected villages of Beitbridge district in Zimbabwe, this study examines the relationship between DTs and youth mobility. The different types, causes, and motifs associated with youth mobilities are explored using qualitative research methods including focus group discussions and community visioning workshops. Study findings reveal challenges facing youths in trying to be mobile including social (mainly gender) inequalities. Thus, women were found to be less mobile. Lack of infrastructure was found to be another key challenge impacting youth mobility. The study however found that DTs are being adopted and this has led to virtual mobilities, which is redefining youth mobility. The opportunities and challenges of integrating virtual mobilities and physical mobilities were explored. The study findings are critical to various actors including ICT, education, and other sectors in that they show opportunities that need to be expropriated to enhance youth mobility, which is key to socio‐economic well‐being of youths, as well as the challenges that can be faced through the ubiquity of DTs.

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What is the relationship between online activity and driving-licence-holding amongst young adults?

Cited by 20 publications

References 17 publications

Multimodal Millennials? The Four Traveler Types of Young People in the United States in 2009

Multimodal Millennials? The Four Traveler Types of Young People in the United States in 2009

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

Digital technologies and youth mobility in ruralZimbabwe

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