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The role of lifestyle, quality of life preferences and geographical context in personal air travel

机译:生活方式的作用,生活偏好的质量和个人航空旅行中的地理背景

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From labels to carbon offsets, various interventions to reduce emissions from air travel have been discussed. If implemented, their effects have been negligible. This is exacerbated by ever-increasing numbers of air travellers. This paper argues that patterns of air travel behaviour are extremely diverse and that empirical findings for predictors are very mixed. Research also points to promising multi-dimensional constructs, which might explain the diverse patterns of air travel. This paper has three aims: (1) investigate the explanatory power of multi-dimensional factors, namely quality of life preferences, lifestyles and geographical context; (2) in addition to norms, values and perceived behavioural control; (3) all in relation to diverse travel patterns, flyerson-flyers, for short/middle- and long-distance personal air travel. We control for socio-demographic factors. We estimate zero-inflated Poisson regression models, utilising data from 4235 Swiss participants collected in 2017. For short/middle-distance personal air travel, lifestyle, geographical context, personal norms, values, age and income are significant predictors. In contrast, long-distance personal air travel is explained by quality of life preferences and gender. These different explanatory patterns for short/middle- vs. long-distance flights highlight the need to differentiate interventions and trigger points to govern air travel behaviour.
机译:从标签到碳抵消,已经讨论了减少航空旅行排放的各种干预措施。如果实施,它们的效果可以忽略不计。这是通过越来越多的空气旅行者而加剧。本文认为,航空旅行行为的模式极为多样化,预测器的实证发现非常混合。研究还指出了有前途的多维结构,这可能解释了航空旅行的多样化模式。本文有三个目的:(1)调查多维因素的解释性,即生活质量偏好,生活方式和地理背景; (2)除了规范,价值观和感知行为控制之外; (3)所有与多样化的旅行模式,传单/非传单,短/中间和远程个人航空旅行。我们控制社会人口因子。我们估计零充气的泊松回归模型,利用来自2017年收集的4235名瑞士参与者的数据。对于短期/中途的个人航空旅行,生活方式,地理背景,个人规范,价值观,年龄和收入是重要的预测因子。相比之下,通过生活质量偏好和性别来解释长途的个人航空旅行。这些不同的解释模式用于短/中与长途航班突出了区分干预和触发点来管理空中旅行行为的必要性。

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