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The best of times and the worst of times: A new best-worst measure of attitudes toward public transport experiences

机译:最好的时候和最坏的时候:一种新的最差的对公共交通体验态度的衡量标准

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Attitudes play an important role in determining individual transit behaviour and the measurement of attitudes is relied on by public transit authorities' world over. Given their role in behaviour and policy making, the accurate measurement of attitudes is of critical importance. Traditional satisfaction scales are prone to bias and on their own they are only a partial measure of attitudes. Given that satisfaction scales have been used to assist with large scale transport infrastructure investment decisions, to aid policy makers examining reactions to alternative policy changes and reform, and to measure the success of new initiatives, deriving robust satisfaction scales should be of critical importance. This paper introduces a dual version of best worst scaling as' an alternative measure of satisfaction. Best worst scaling is free of the biases inherent in traditional response scales and is ideal for handling the comparative evaluation of large amount of attributes, particularly those which are inherently qualitative. The paper makes a further innovative contribution by proposing a model structure for the joint estimation of satisfaction and importance. Our model shows a better delineation between the attributes used to measure attitudes towards bus use and a more detailed understanding of the relationship between importance and satisfaction; enabling transport operators to better understand what counts most and assess their performance. (C) 2016 Elsevier Ltd. All rights reserved.
机译:态度在确定个人过境行为中起着重要作用,而态度的度量是公共交通部门在世界范围内的依赖。考虑到他们在行为和政策制定中的作用,准确衡量态度至关重要。传统的满意度量表容易产生偏见,它们本身只是态度的部分度量。鉴于已经使用满意度量表来协助进行大规模的运输基础设施投资决策,帮助决策者检查对替代性政策变更和改革的反应以及衡量新计划的成功,因此得出可靠的满意度量表至关重要。本文介绍了最佳最差标度的双重版本,作为“满意度的替代度量”。最佳最差标度没有传统响应标度固有的偏差,是处理大量属性(尤其是固有定性属性)的比较评估的理想选择。本文提出了一种用于满意度和重要性的联合估计的模型结构,从而做出了进一步的创新性贡献。我们的模型显示出用于衡量对公交车使用态度的属性之间的更好区分,以及对重要性和满意度之间关系的更详细理解;使运输运营商能够更好地了解最重要的因素并评估其绩效。 (C)2016 Elsevier Ltd.保留所有权利。

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