From university to work life - Jumping behind the wheel? Explaining mode change of students making the transition to professional life
From university to work life - Jumping behind the wheel? Explaining mode change of students making the transition to professional life
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DOI：
10.1016/j.tra.2017.09.016
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发表时间：
2017-12-01
影响因子：
6.4
通讯作者：
Lanzendorf, Martin
中科院分区：
文献类型：
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作者：
Busch-Geertsema, Annika;Lanzendorf, Martin
本文考察了大学生就业前后的模式使用情况，并分析了影响模式使用的因素。我们的目标是通过扩展计划行为理论（ToPB）的理论框架，即需求、机会、能力（ROA）方法，以及习惯和关键事件的概念，提高我们对旅行行为变化的理解。本文的重点是(i)前大学生如何调整他们的旅行行为，当他们的工作生活开始，（ii）什么是最重要的因素解释这些变化。通过三波在线调查，我们发现确实有很多毕业生开始开车上下班，乘坐公共交通工具的人越来越少。为了解释模式变化，我们从ToPB（主观规范、感知行为控制、态度）中确定了经典因素，以及一些要求（更灵活、着装要求）、机会（汽车可用性、停车情况、与公共交通的联系）和能力（经济状况、通勤距离），此外还有习惯。因此，我们可以显示态度的变化、个人需求的变化以及模式选择的变化所产生的影响。习惯因此降低了模式改变的可能性。我们从研究结果中得出了一些政策启示，强调了提供铁路公共交通的重要性，并就旅行需求管理提出了建议。
This paper examines the mode use of students before and after starting their working lives and analyses the influencing factors. We aim to improve our understanding of travel behaviour change based on a theoretical framework extending the Theory of Planned Behaviour (ToPB), namely the Requirements, Opportunities, Abilities (ROA) approach, and the concept of habits and key events. The paper focuses on (i) how former university students adjust their travel behaviour when their working life starts and (ii) what are the most important factors explaining these changes.With a three-wave online panel, we show that indeed many graduate workers start commuting by car and fewer travel by public transport. To explain mode change, we identified classical factors from the ToPB (subjective norm, perceived behavioural control, attitudes) as well as several requirements (more flexibility, dress code), opportunities (changed car availability, parking situation, connection to public transport) and abilities (financial, commuting distance) and, moreover, habits. As a result, we could show influences resulting from changed attitudes, changes in personal requirements as well as changes in mode options. Habit consequently decreases the probability of mode change. We draw some policy implications from the results highlighting the importance of the provision of rail-bound public transport and giving recommendations on travel demand management.