在大流行期间个人和环境骑自行车的决定因素
Michelle Duren1, Bryce Corrigan2, Johnathon Ehsani1
1Johns Hopkins Bloomberg School of Public Health, 615 N Wolfe St, Baltimore, MD, 21205, United States.
Journal of transport & health
|June 12, 2023
概括
由于个人和环境因素,流行病骑自行车激增,一般骑自行车与通勤有着不同的预测因素. 诸如电动自行车接入和交通平静等政策可以鼓励更多的骑自行车.
科学领域:
- 公共卫生 公共卫生
- 运输科学 运输科学
- 行为科学 行为科学
背景情况:
- 虽然影响骑自行车的因素已知,但它们对个人选择及其大流行病的相对影响尚不清楚.
- 了解这些因素对于促进可持续运输和公共卫生至关重要.
研究的目的:
- 为了确定在COVID-19大流行期间增加骑自行车的关键预测因素.
- 为了确定影响自行车通勤行为的因素.
- 分析各种决定因素对骑自行车的相对影响.
主要方法:
- 利用了6735名美国成年人的样本.
- 使用LASSO回归模型从55个初始决定因素中识别显著预测因素.
- 分析了数据,以区分总体骑自行车增加与骑自行车通勤的预测因素.
主要成果:
- 个人和环境因素都对骑自行车的行为产生重大影响.
- 与自行车通勤相比,在大流行期间总体上增加了骑自行车的不同预测因素.
- 这项研究强调了各种因素对各种形式的骑自行车的影响.
结论:
- 政策干预可以有效地塑造骑自行车的行为.
- 增加电动自行车 (电动自行车) 的可访问性显示出鼓励骑自行车的希望.
- 在住宅街道上实施交通缓和措施可以促进骑自行车.
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