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Cycling or walking? Determinants of mode choice in the Netherlands

机译:骑自行车或走路?荷兰模式选择的决定因素

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Interest into active modes (i.e. walking and cycling) has increased significantly over the past decades, with governments worldwide ultimately aiming for a modal shift towards active modes. To devise policies that promote this goal, understanding the determinants that influence the choice for an active mode is essential. The Netherlands is country with a large and demographically diverse active mode user population, mature and complete active mode infrastructure, and safe environment. Mode choice research from the Netherlands enables a comparison on relevant determinants with countries that have a low active mode share. Furthermore, it can provide quantitative input for policies aiming at an active mode shift. This paper estimates a mode choice model focusing on active modes, while including a more comprehensive set of modes (i.e. walking, cycling, public transport and car). Based on data from the Netherlands Mobility Panel (MPN) in combination with an additional survey focused on active modes (coined PAW-AM), this study estimates which determinants influence mode choice. The determinants can be categorized as individual characteristics, household characteristics, season and weather characteristics, trip characteristics, built environment, and work conditions. The results show that all categories of determinants influence both walking and cycling. However, the choice for cycling or walking is affected by different determinants and to a different extent. In addition, no active mode nest was found in the model estimation. Cycling and walking should thus be regarded as two distinguished alternatives. Furthermore, the results show that active mode use is most sensitive to changes in the trip characteristics and the built environment.
机译:在过去的几十年中,活跃模式(即步行和骑自行车)的兴趣大幅增加,世界各国政府最终旨在朝向活动模式的模态转变。为了制定促进这一目标的政策,了解影响活动模式选择的决定因素至关重要。荷兰是具有大,人群多样化的活动模式用户群体,成熟和完整的主动模式基础设施和安全环境的国家。来自荷兰的模式选择研究可以比较有关具有低主动模式共享的国家的相关决定因素。此外,它可以提供针对主动模式偏移的策略的定量输入。本文估计了专注于有源模式的模式选择模型,而包括更全面的模式(即步行,骑自行车,公共交通和汽车)。基于来自荷兰移动面板(MPN)的数据与额外的调查相结合,专注于有源模式(Coined PAW-AM),这项研究估计了哪种决定因素影响模式选择。决定因素可以被分类为个性特征,家庭特征,季节和天气特征,旅行特征,建筑环境和工作条件。结果表明,所有类别的决定因素都会影响行走和循环。然而,循环或行走的选择受不同的决定因素的影响和不同程度的影响。此外,在模型估计中没有找到活动模式嵌套。因此,骑自行车和行走应该被视为两个杰出的替代品。此外,结果表明,主动模式使用对跳闸特性和内置环境的变化最敏感。

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