2018
DOI: 10.1016/j.tranpol.2016.12.006
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Urban travel behaviour and household income in times of economic crisis: Challenges and perspectives for sustainable mobility

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Cited by 52 publications
(27 citation statements)
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“…Young people, singles, low-income groups, low educated and professionally insecure individuals (unemployed or part-time employed, students) were those who claimed lower prices, indicating that the economic crisis does not have the same impact on all citizens. This finding is in line with the results of [27], that found that mobility behaviour changes during the economic crisis are income dependent.…”
Section: Control and Ownership Of The Transport Sectorsupporting
confidence: 92%
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“…Young people, singles, low-income groups, low educated and professionally insecure individuals (unemployed or part-time employed, students) were those who claimed lower prices, indicating that the economic crisis does not have the same impact on all citizens. This finding is in line with the results of [27], that found that mobility behaviour changes during the economic crisis are income dependent.…”
Section: Control and Ownership Of The Transport Sectorsupporting
confidence: 92%
“…These studies report an overall reduction in the mobility of travellers, due to the income reduction and the increase in unemployment level [26]. Concerning the transport mode used, a decrease in the market share of the most expensive transport modes, such as private cars [27] and taxis [28] has been observed, whereas there has been an increase in the public transport mode share [26].…”
Section: Methodsmentioning
confidence: 99%
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“…Existing research has shown that cities where the modal share of private vehicles is above 75% produce 2.5 t more CO 2 per passenger per year, or more than four times more than cities where the combined share of public transport, cycling and walking is more than 55% [20]. The major factors affecting transport mode choices are divided into two interrelated categories of built environment and personal factors [22]. Extensive literature has explored the impact of built environment attributes, including street design, population density, land use diversity, destination accessibility, and distance to transit on individuals' travel behaviors [23][24][25][26][27].…”
Section: Introductionmentioning
confidence: 99%
“…Verny [8], using time series data, investigated the relation between freight transport and the distances covered, with economic growth. In regards to Greece, many studies have investigated the effects of the economic recession to health, to the healthcare system [9,10], to unemployment [11], to the income [12], to the Greek airports [13], and to urban travel behavior [14]; nonetheless, there is limited research to the effects of the current economic crisis to Greek vehicle market.…”
Section: Introductionmentioning
confidence: 99%