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Changes in level of household car ownership: the role of life events and spatial context

机译:家用车拥有量的变化:生活事件和空间环境的作用

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摘要

Recent longitudinal studies of household car ownership have examined factors associated with increases and decreases in car ownership level. The contribution of this panel data analysis is to identify the predictors of different types of car ownership level change (zero to one car, one to two cars and vice versa) and demonstrate that these are quite different in nature. The study develops a large scale data set (n = 19,334), drawing on the first two waves (2009-2011) of the UK Household Longitudinal Study (UKHLS). This has enabled the generation of a comprehensive set of life event and spatial context variables. Changes to composition of households (people arriving and leaving) and to driving licence availability are the strongest predictors of car ownership level changes, followed by employment status and income changes. Households were found to be more likely to relinquish cars in association with an income reduction than they were to acquire cars in association with an income gain. This may be attributed to the economic recession of the time. The effect of having children differs according to car ownership state with it increasing the probability of acquiring a car for non-car owners and increasing the probability of relinquishing a car for two car owners. Sensitivity to spatial context is demonstrated by poorer access to public transport predicting higher probability of a non-car owning household acquiring a car and lower probability of a one-car owning household relinquishing a car. While previous panel studies have had to rely on comparatively small samples, the large scale nature of the UKHLS has provided robust and comprehensive evidence of the factors that determine different car ownership level changes.
机译:最近对家用汽车拥有量的纵向研究已经检查了与汽车拥有量增加和减少相关的因素。面板数据分析的作用是识别不同类型汽车拥有量变化的预测因素(零到一辆汽车,一到两辆汽车,反之亦然),并证明它们本质上是完全不同的。该研究利用英国家庭纵向研究(UKHLS)的前两次浪潮(2009-2011)开发了一个大规模数据集(n = 19,334)。这使得能够生成一组完整的生活事件和空间上下文变量。家庭组成(到达和离开的人)和驾驶执照可用性的变化是最有力的汽车拥有量变化预测指标,其次是就业状况和收入变化。人们发现,与收入减少相关联的家庭购买汽车比收入减少更可能放弃汽车。这可能归因于当时的经济衰退。生孩子的影响因汽车拥有状态的不同而不同,这会增加非汽车拥有者购置汽车的可能性,并增加两个汽车拥有者放弃汽车的可能性。对空间环境的敏感性表现为公共交通的通行性较差,预测非拥有汽车的家庭获得汽车的可能性较高,而拥有单一汽车的家庭放弃汽车的可能性较低。尽管以前的小组研究不得不依靠相对较小的样本,但UKHLS的大规模性质为确定不同汽车拥有量水平变化的因素提供了有力而全面的证据。

著录项

  • 来源
    《Transportation》 |2016年第4期|565-599|共35页
  • 作者单位

    Univ West England, Dept Geog & Environm Management, Ctr Transport & Soc, Bristol BS16 1QY, Avon, England;

    Univ West England, Dept Geog & Environm Management, Ctr Transport & Soc, Bristol BS16 1QY, Avon, England;

    Univ West England, Dept Geog & Environm Management, Ctr Transport & Soc, Bristol BS16 1QY, Avon, England;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Car ownership; Dynamics; Life events; Longitudinal; Panel data; Spatial context;

    机译:汽车所有权;动力学;生活事件;纵向;面板数据;空间背景;

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