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Impact of information intervention on travel mode choice of urban residents with different goal frames: A controlled trial in Xuzhou, China

机译:信息干预对具有不同目标框架的城市居民出行方式选择的影响:中国徐州的一项对照试验

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In order to assess the degree to which specific groups will adapt their travel behaviors after certain intervention, this study utilized a cluster analysis to discuss three segments' distinct goal frames, social-demographic properties, travel modes, and habitat, and then carried out an information intervention controlled trial to discover three segments' modal split shifts. The results indicate that the information have consistent and distinct impacts on travel mode choice by clusters. This consistency is embodied in the simultaneous and significant increase in travel times by green modes (walking, non-powered bicycle, or bus) and in the small but non-significant effects on reducing car use in the three clusters. The distinctness of the impacts is that information have a more effective influence on subjects with gain goal frames because their travel times by all three green modes greatly improved. Subjects with the hedonic goal frame are the least sensitive to information, with the only significant increase in travel times being by non-powered bicycle. This research also addressed the "attitude-behavior gap", weather impacts, and goal-oriented prompts. The findings suggest that policy interventions should be designed to improve public transit features, especially the bicycle system, rather than only to constrain car use, and that tailored policies should be targeted to specific groups with different goal frames. (C) 2016 Elsevier Ltd. All rights reserved.
机译:为了评估特定人群在一定干预后将如何适应他们的旅行行为,本研究利用聚类分析讨论了三个部分的不同目标框架,社会人口特性,旅行方式和栖息地,然后进行了分析。信息干预控制的试验,以发现三个部分的模式分裂转移。结果表明,该信息对集群的出行方式选择具有一致且明显的影响。这种一致性体现在通过绿色模式(步行,无动力自行车或公共汽车)同时显着增加旅行时间,以及在减少这三个集群中的汽车使用量方面产生的微小但不显着的影响。影响的区别在于,信息对具有增益目标框架的对象有更有效的影响,因为这三种绿色模式的行进时间大大缩短了。具有享乐目标框架的对象对信息的敏感度最低,旅行时间的唯一显着增加是骑无动力自行车。这项研究还解决了“态度-行为差距”,天气影响和面向目标的提示。研究结果表明,政策干预措施应旨在改善公共交通功能,尤其是自行车系统,而不仅限于限制汽车的使用,而且量身定制的政策应针对具有不同目标框架的特定人群。 (C)2016 Elsevier Ltd.保留所有权利。

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