2015
DOI: 10.1016/j.jtrangeo.2015.06.010
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The determinants of commuting mode choice among school children in Beijing

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Cited by 82 publications
(29 citation statements)
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“…A similar trend can now be observed in the Global South [23]: among middle-class urban children, obesity issues are also emerging, with clear linkages to the expansion of motor transport usage for school journeys [24][25][26][27]. In China, in particular, the one-child policy encouraged many parents to adjust their life patterns to provide better education for their children, including chauffeuring their children to and from school if they could afford to do so [28]. In a Nairobi context, parental perception of positive neighbourhood social cohesion, positive environs and connectivity, all of which reduced their child safety concerns, encouraged positive child physical activity outcomes [29]: these factors are likely to be pertinent in many LMIC urban contexts [30].…”
Section: Education: Making the Journey To Schoolmentioning
confidence: 82%
See 1 more Smart Citation
“…A similar trend can now be observed in the Global South [23]: among middle-class urban children, obesity issues are also emerging, with clear linkages to the expansion of motor transport usage for school journeys [24][25][26][27]. In China, in particular, the one-child policy encouraged many parents to adjust their life patterns to provide better education for their children, including chauffeuring their children to and from school if they could afford to do so [28]. In a Nairobi context, parental perception of positive neighbourhood social cohesion, positive environs and connectivity, all of which reduced their child safety concerns, encouraged positive child physical activity outcomes [29]: these factors are likely to be pertinent in many LMIC urban contexts [30].…”
Section: Education: Making the Journey To Schoolmentioning
confidence: 82%
“…In urban Asia, the sparse published material available suggests that school pupils make more substantial use of informal public transport and of bicycles. However, as cities expand in Asia, the school commuting distance is inevitably growing, as Li and Xhao and Zhang et al showed using data from Third and Fifth Travel Surveys of Beijing Inhabitants, respectively (with some children travelling over 5 km) [28,46].…”
Section: School Travel Within Lmic Urban Areasmentioning
confidence: 99%
“…To relax the restriction that the distribution of error terms is independent and identical over alternatives in MNL, the nested logit (NL) model and cross-nested (CNL) model were developed to analyze and predict travel choice decisions [20,21]. Many existing studies analyzed the factors influencing residents' mode choice concerning all modes available including CB based on the questionnaire surveys using discrete choice models [22][23][24][25]. Besides, Nalmpantis et al revealed that utility, as well as feasibility and innovativeness were promising criterions to make public transport more attractive [26].…”
Section: Literature Reviewmentioning
confidence: 99%
“…A large body of literature exists on school travel mode choice [2,8,9,21,22]; however, few studies have focused on students' metro ridership for school trips using smart card data [23]. The literature review focuses on previous studies that examine the influence of the built environment factors on metro ridership and the application of GWR in the transportation field.…”
Section: Literature Reviewmentioning
confidence: 99%
“…School children's reliance on cars is not only harmful to their daily travel behaviors towards sustainability but also aggravates traffic congestion on urban roads [1][2][3][4]; therefore, governments in many developed and developing countries have committed to encouraging school children to go to school using active modes of travel including walking and bicycling [5][6][7][8]. However, active modes are most suitable for short-distance travel.…”
Section: Introductionmentioning
confidence: 99%