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CONTRIBUTIONS OF THE PHYSICAL AND SOCIAL ENVIRONMENT TO BICYCLING: A STRUCTURAL EQUATION MODELING STUDY

机译:物理和社会环境对骑自行车的贡献:结构方程模型研究

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The level of bicycling is low in the United States compared to some European countries withsimilar living standards and auto ownership. Differences in the physical and social environmentsin these countries help to explain much higher levels of bicycling in Europe than the US.Previous bicycling research has established a potential association between environmentalfactors and bicycling. However, empirical evidence of whether physical and social environmenthave true impacts on individual bicycling, as well as what their relative importance is, is stilllimited. Using data from an online survey conducted in 2006 in six small cities in the westernUnited States, this study aims to address these questions by employing structural equationsmodeling, which accounts for endogeneities between variables and thereby more robust thansingle equation models. The empirical findings show that individual attitudes, especially theattitude of liking bicycling, have the greatest impact on bicycling behavior. The socialenvironment emerges as the second most important factor. Physical environment variables alsoinfluence bicycling after accounting for residential self-selection. This study provides a strongerempirical basis for policy decisions promoting bicycling by contributing to an improvedunderstanding of the influences of physical and social environments on bicycling.
机译:与一些欧洲国家相比,美国的自行车骑行水平较低 相似的生活水平和汽车所有权。物理和社会环境的差异 在这些国家/地区,欧洲的自行车骑行水平要比美国高得多。 先前的自行车研究已经建立了环境与环境之间的潜在关联 因素和骑自行车。但是,有关自然环境和社会环境的经验证据 仍对单车骑行有真正的影响,以及它们的相对重要性是什么 有限的。使用2006年在西部六个小城市进行的在线调查获得的数据 在美国,本研究旨在通过采用结构方程式来解决这些问题 建模,它考虑了变量之间的内生性,因此比 单方程模型。实证结果表明,个人态度,尤其是 喜欢骑自行车的态度,对骑车行为的影响最大。社会的 环境成为第二个最重要的因素。物理环境变量也 计入住户自我选择后,影响自行车骑行。这项研究提供了更强大的 政策制定的经验基础,可通过促进做出改进来促进骑车 了解物理和社会环境对骑自行车的影响。

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