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‘I feel the weather and you just know’. Narrating the dynamics of commuter mobility choices
Journal of Transport Geography ( IF 5.899 ) Pub Date : 2022-07-18 , DOI: 10.1016/j.jtrangeo.2022.103407
Stewart Barr , Sal Lampkin , Laura Dawkins , Daniel Williamson

Efforts to promote travel behaviour change have frequently deployed social marketing strategies that are based on characterising populations into discrete target groups through quantitative segmentation techniques. Such techniques provide an important basis for understanding behavioural choices and motivations, frequently using psychological constructs that can be used for planning interventions. However, there are limitations to what a solely quantitative approach can offer practitioners in terms of understanding the dynamics of travel behaviour and the meanings associated with personal mobility that can be used to design appropriate interventions. In this paper we provide evidence to argue for a mixed-methods approach, where insights from quantitative segmentation and qualitative data can be used to reveal the experiential nature of factors that influence travel decision making. To pursue this argument we present findings from research with commuters in the city of Exeter, South West England. Using data from five workshops, we illustrate the ways in which participants articulated and gave meaning to a series of travel mode influences identified using quantitative segmentation techniques for specific commuter groups (private car, public transport, walking, cycling and a combination of modes). We demonstrate how both understanding the dynamism of travel behaviour and revealing its meanings can present opportunities for designing interventions, offering pathways to promote shifts away from carbon intensive transport.



中文翻译:

'我感觉到天气,你就知道'。讲述通勤出行选择的动态

促进旅行行为改变的努力经常部署社会营销策略,这些策略基于通过定量细分技术将人群特征化为离散的目标群体。这些技术为理解行为选择和动机提供了重要基础,经常使用可用于计划干预的心理结构。然而,在理解旅行行为的动态以及与可用于设计适当干预措施的个人流动性相关的意义方面,单纯的定量方法可以为从业者提供的东西存在局限性。在本文中,我们提供了支持混合方法方法的证据,定量细分和定性数据的见解可用于揭示影响旅行决策的因素的经验性质。为了追求这一论点,我们展示了对英格兰西南部埃克塞特市通勤者的研究结果。使用来自五个研讨会的数据,我们说明了参与者如何阐明并赋予一系列旅行模式影响以意义,这些影响使用定量分割技术针对特定通勤群体(私家车、公共交通、步行、骑自行车和多种模式的组合)确定。我们展示了如何理解旅行行为的活力并揭示其含义可以为设计干预措施提供机会,提供促进从碳密集型交通转变的途径。为了追求这一论点,我们展示了对英格兰西南部埃克塞特市通勤者的研究结果。使用来自五个研讨会的数据,我们说明了参与者如何阐明并赋予一系列旅行模式影响以意义,这些影响使用定量分割技术针对特定通勤群体(私家车、公共交通、步行、骑自行车和多种模式的组合)确定。我们展示了如何理解旅行行为的活力并揭示其含义可以为设计干预措施提供机会,提供促进从碳密集型交通转变的途径。为了追求这一论点,我们展示了对英格兰西南部埃克塞特市通勤者的研究结果。使用来自五个研讨会的数据,我们说明了参与者如何阐明并赋予一系列旅行模式影响以意义,这些影响使用定量分割技术针对特定通勤群体(私家车、公共交通、步行、骑自行车和多种模式的组合)确定。我们展示了如何理解旅行行为的活力并揭示其含义可以为设计干预措施提供机会,提供促进从碳密集型交通转变的途径。我们说明了参与者如何表达并赋予一系列旅行模式影响以意义,这些影响使用定量细分技术针对特定的通勤群体(私家车、公共交通、步行、骑自行车和多种模式的组合)确定。我们展示了如何理解旅行行为的活力并揭示其含义可以为设计干预措施提供机会,提供促进从碳密集型交通转变的途径。我们说明了参与者如何表达并赋予一系列旅行模式影响以意义,这些影响使用定量细分技术针对特定的通勤群体(私家车、公共交通、步行、骑自行车和多种模式的组合)确定。我们展示了如何理解旅行行为的活力并揭示其含义可以为设计干预措施提供机会,提供促进从碳密集型交通转变的途径。

更新日期:2022-07-19
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