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Service-related traffic: An analysis of the influence of firms on travel behaviour

机译:服务相关流量:公司对出行行为的影响分析

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摘要

Services are becoming more and more important in industrialized countries. Yet very little is known about the traffic initiated by the provision of these services. Particularly the role of firms in this context is an unexplored field of research. To know how firms influence the travel behaviour of their employees, is however crucial for public authorities and for development of political measures. The paper analyzes different types of travel behaviour and provides new perspectives on how firms affect this behaviour, focusing on the field of service-related traffic. Two different empirical data sets (from two German surveys) are used to reveal crucial predictors. These allow insight into the impact of firms on their employee's travel characteristics and patterns. In a first step, applying cluster analysis, we show that four types of travel behaviour exist, which differ significantly in their travel parameters. In a second step, using regression modelling, we provide evidence that internal structure, internal process as well as external structure have a significant impact on travel patterns and behaviour. Against the background of increasing road traffic, especially in urban areas, public authorities can use the results to understand and mitigate service-related traffic.
机译:在工业化国家,服务变得越来越重要。然而,对于由这些服务的提供引发的业务量知之甚少。特别是在这种情况下,企业的作用是一个尚未探索的研究领域。然而,了解公司如何影响其员工的出差行为,对于公共机构和制定政治措施至关重要。本文分析了不同类型的旅行行为,并提供了关于公司如何影响这种行为的新观点,重点是与服务相关的交通领域。两种不同的经验数据集(来自两次德国调查)用于揭示关键的预测因素。这些可以洞察公司对员工出差特征和方式的影响。在第一步中,应用聚类分析,我们发现存在四种旅行行为,它们的旅行参数差异很大。第二步,使用回归模型,我们提供证据表明内部结构,内部过程以及外部结构对出行方式和行为产生了重大影响。在道路交通不断增加的背景下,尤其是在城市地区,公共当局可以使用结果来了解和减轻与服务相关的交通。

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