Lifestyles and Cycling Behavior - Data from a Cross-Sectional Study

Lifestyles and Cycling Behavior - Data from a Cross-Sectional Study
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生活方式和骑行行为 - 来自横断面研究的数据

DOI:
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发表时间:
2019
期刊:
International Conference on Data Technologies and Applications
影响因子:
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通讯作者:
Günther Innerebner
Günther Innerebner
中科院分区:
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文献类型:
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作者:
M. Loidl;Christian Werner;Laura Heym;Patrick Kofler;Günther Innerebner

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骑自行车经历了一个显着的复兴,作为一种日常交通方式,在越来越多的城市,骑自行车大大有助于整体交通。然而,骑自行车的人并不是一个同质的道路使用者群体,而是在行为,动机和威慑方面非常多样化。为了更好地了解骑自行车者的驱动力和行为模式,我们进行了一项选择性在线调查,其中收集了社会人口统计学,生活方式和移动行为数据。在2019年5月3日至6月3日期间,共收集了1234份回复,完成率为87%(1073份完整调查)。关于完整答复,性别比例平衡(53%为女性),平均年龄为42岁(σ = 12.75)。相对大多数参与者经常骑车。完全匿名的数据集包含每个响应的107个数据点,包括调查元数据。
Cycling experiences a remarkable renaissance as an everyday mode of transport and in an increasing number of cities, cycling substantially contributes to the overall traffic. However, cyclists are not a homogeneous group of road users, but very diverse in terms of behavior, motivators, and deterrents. In order to gain better insights into driving forces and behavior patterns of cyclists, we conducted an opt-in online survey, in which socio-demographic, lifestyle, and mobility behavior data were collected. In total, 1234 responses with a completion rate of 87% (1073 complete survey) were collected between 3 May and 3 June 2019. With reference to complete responses, the gender ratio is balanced (53% female) and the mean age is 42 (σ = 12.75). A relative majority of participants cycles frequently. The fully anonymized dataset contains 107 data points per response, including survey metadata.