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Analyzing the impact of neighborhood safety on active school travels

机译:分析邻里安全对活跃学校旅行的影响

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Childhood obesity has become a serious public health challenge during the past few decades, calling for policies to incorporate physical activity into students' routines. This study is an effort to contribute to the current literature of school travels by analyzing how improving safety of different neighborhoods in Chicago, Illinois would encourage students toward shifting to active modes, and how this interrelationship is affected by the severe weather conditions during the cold winters of the region. The results are complemented by multiple sensitivity analyses to quantify how these shifts would help different students burn extra walking calories (i.e. the extra calories each student burns due to walking more). We estimate multiple discrete continuous extreme value models to understand how flexible a student is in combining his/her most preferred transportation mode with other choices. Various sources of inter-personal heterogeneity are also captured by using a latent-classification framework as well as differentiating the before-school from after-school trip chains to consider the behavioral distinction, explicitly. Several explanatory variables are incorporated into the models, including socio-demographics of students and their household, land-use, crime prevalence, and seasonal/weather conditions. Per the results, improving safety of Chicago from its current condition to the national median, would encourage students to be up to 40% more active. This extra active travel demand would provide obese students aged 14-18 with 18% of the calorie burn they need to lose weight to the obesity cutoff and 13% of the calorie burn required for losing weight from the obesity cutoff to overweight.
机译:在过去的几十年中,儿童肥胖已成为一个严重的公共卫生挑战,呼吁政策将身体活动纳入学生的惯例。这项研究是努力为学校的目前文学提供贡献,通过分析芝加哥不同社区的安全如何,伊利诺伊州将鼓励学生转移到活跃模式,以及这种相互关系受到寒冷期间恶劣天气条件的影响该地区。结果是通过多种敏感性分析互补,以量化这些班次如何帮助不同的学生燃烧额外的步行卡路里(即,额外的卡路里每个学生因走路而燃烧)。我们估计多个离散的连续极值模型,了解学生与其他选择将其最优选的运输方式结合的灵活性。通过使用潜在分类框架,还捕获了各种间间异质性的来源,以及从课后跳闸链中区分课后,以考虑行为区分,明确。若干解释性变量纳入模型,包括学生的社会人口统计数据,户籍,土地利用,患病率和季节性/天气状况。根据结果​​,将芝加哥的安全从目前的情况提高到国家中位数,将鼓励学生更加活跃。这种额外的旅行需求将为14-18岁的肥胖学生提供18%的卡路里燃烧,他们需要减肥,以减肥,肥胖的燃烧需要从肥胖截止到超重的减肥所需的卡路里燃烧。

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