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Tackling the academic air travel dependency. An analysis of the (in)consistency between academics’ travel behaviour and their attitudes
Global Environmental Change ( IF 8.6 ) Pub Date : 2024-08-10 , DOI: 10.1016/j.gloenvcha.2024.102908
Jonas De Vos , Debbie Hopkins , Robin Hickman , Tim Schwanen

Current trends in air transport are inconsistent with international climate goals. Without substantial changes from business-as-usual travel demand, neither new technologies nor alternative fuels will reduce emissions at the required rate. Air transport demand is highly skewed towards a small share of frequent flyers in all aviation users. While the unsustainability of aviation is well-recognised in academia, academics themselves are often frequent flyers – generating the emissions many of them also problematise. To investigate this contradiction, we survey 1,116 staff members from University College London (UK). We cluster academics based on their opinions of academic travel and international conference organisation, and examine how these groups participate in, and travel to, academic activities. Five clusters are identified: 1) , 2) , 3) , 4) , and 5) . Despite some levels of similarity between academic travel attitudes and behaviour, results show that certain types of academics seem forced to regularly fly to distant conferences. In fact, members of our largest cluster () have negative attitudes towards flying, yet have the plane as dominant travel mode. To reduce academic air travel (dependency), we provide tailored policy instruments for each cluster, aimed at reducing the need to travel to lowering the impact of travel.

中文翻译:


解决学术航空旅行的依赖问题。学者出行行为与态度的一致性分析



当前航空运输的趋势与国际气候目标不一致。如果照常出行需求没有发生重大变化,无论是新技术还是替代燃料都无法按要求的速度减少排放。航空运输需求高度偏向于所有航空用户中一小部分常旅客。虽然航空业的不可持续性在学术界已得到充分认识,但学者们本身也往往是飞行常客,产生的排放也引起了他们中许多人的质疑。为了调查这一矛盾,我们对英国伦敦大学学院的 1,116 名工作人员进行了调查。我们根据学术旅行和国际会议组织的意见对学者进行聚类,并研究这些群体如何参与和前往学术活动。识别出五个簇:1)、2)、3)、4) 和 5)。尽管学术旅行态度和行为之间存在一定程度的相似性,但结果表明,某些类型的学者似乎被迫定期飞往遥远的会议。事实上,我们最大的集群 () 的成员对飞行持消极态度,但仍将飞机作为主要出行方式。为了减少学术航空旅行(依赖性),我们为每个集群提供量身定制的政策工具,旨在减少旅行需求,从而降低旅行的影响。
更新日期:2024-08-10
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