2018
DOI: 10.5198/jtlu.2018.1113
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Changes in travel behavior during the transition from secondary to higher education: A case study from Ghent, Belgium

Abstract: Over the past few decades, the number of students attending universities and university colleges in Belgium has increased considerably. In many Western countries, this trend is accompanied by a decline in car use among young adults. Therefore, it is important to have better insights into how travel behavior changes during the transition from secondary to higher education. This research fits into the larger framework of mobility biographies, where travel behavior is analyzed over a life course, taking into acco… Show more

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Cited by 17 publications
(9 citation statements)
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References 45 publications
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“…As expected, holding a driver's license or owning a car facilitates car use among young adults [30,47,79]. The number of cars in the household [29,70] and bike ownership [29] are positively associated with driver's license possession of young adults, indicating multimodality among young adults.…”
Section: Personal Attributessupporting
confidence: 61%
See 2 more Smart Citations
“…As expected, holding a driver's license or owning a car facilitates car use among young adults [30,47,79]. The number of cars in the household [29,70] and bike ownership [29] are positively associated with driver's license possession of young adults, indicating multimodality among young adults.…”
Section: Personal Attributessupporting
confidence: 61%
“…Furthermore, among young adults, employed young adults are more likely to drive [2,24], hold a driver's license [55,70,73,74,77], have car access/ownership [23,54], make a greater number of car trips [24], and have higher car travel distance [78]. Higher education positively influences driver's license possession [55,70,73,74,77] and driving [2,79]. Studentship status shows a positive association with transit use [27,58].…”
Section: Personal Attributesmentioning
confidence: 99%
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“…Based on the results of the output in table 5, the R squared value of 0.554 is obtained, which means that the influence of variables X1, X2, X3, and X4 on student resilience (Y) is 70.2% and the remaining 29.8% is influenced by other variables outside of this research model. Indirect effects can be analyzed by structural model equations (SEM) because SEM is considered as a unit of simultaneous estimates in regression when an independent variable in one regression and at the same time becomes a dependent variable in another regression [17].…”
Section: Resultsmentioning
confidence: 99%
“…De Paepe et al, 2018;De Vos et al, 2012;Handy et al, 2004). Similar to the relationship between Internet use and pro-environmental behavior, the overall associations between sustained daily Internet usage and young adults' travel patterns are largely explained by their indirect correlations mediated by a positive attitude towards the environment.…”
Section: Relationships Between Changes In Internet Usage and Behaviormentioning
confidence: 99%