Department of Human Geography and Spatial Planning, Faculty of Geosciences, Utrecht University, Princetonlaan 8a, 3584 CB, Utrecht, The Netherlands.
Department of Interdisciplinary Social Science, Faculty of Social and Behavioral Sciences, Utrecht University, Heidelberglaan 1, 3584 CS, Utrecht, The Netherlands.
Int J Behav Nutr Phys Act. 2018 Aug 29;15(1):82. doi: 10.1186/s12966-018-0715-z.
Cycling for transportation has the potential to contribute to an increase in people's physical activity levels. A growing body of evidence links the natural and the built environment to cycling. Whereas previous studies were mostly done within one city or one region, the present study covers the whole of the Netherlands, allowing an investigation of whether associations between environmental characteristics and cycling are context-specific. The study examines the extent to which objectively measured natural and built environment characteristics contribute to cycling duration in the Netherlands, as well as the differential effect of environmental characteristics on cycling duration by municipality size.
Our sample from the Dutch National Travel Survey 2010-2014 comprised 110,027 people aged 20-89 years, residing in 3163 four-digit postal code areas, nested within 387 municipalities across the whole of the Netherlands. Multilevel Tobit regression models were fitted to assess the associations between the natural and the built environment with average daily cycling duration (in minutes), while adjusting for individual and household characteristics. Interaction effects of natural and built environment characteristics and municipality size on cycling duration were also investigated.
Higher address density, more bus stops, and shorter distance from home to the nearest train station were positively related to cycling duration. Respondents were more likely to cycle on days with higher temperatures, less wind, and less precipitation. Interaction tests showed that increased street density and address density were less cycling-promotive in small urban areas compared to medium or large cities. On the other hand, the positive association between number of bus stops and cycling duration was weaker in the largest and medium-sized cities compared to small urban and rural areas.
Interactions suggest that relations between environmental characteristics and cycling duration are context-specific (i.e., dependent on circumstances that differ between highly urbanized and less urbanized areas). Our findings need to be replicated in other countries to gain more insight into the interplay between environmental factors and municipality size.
骑自行车出行有可能提高人们的身体活动水平。越来越多的证据将自然和建成环境与骑自行车联系起来。虽然以前的研究大多在一个城市或一个地区进行,但本研究涵盖了整个荷兰,以调查环境特征与骑自行车之间的关联是否具有特定背景。本研究考察了客观测量的自然和建成环境特征在多大程度上促进了荷兰人的骑自行车时间,以及环境特征对不同规模城市的骑自行车时间的差异影响。
我们的样本来自 2010-2014 年荷兰国家出行调查,包括 3163 个四位数邮政编码区域内的 110027 名 20-89 岁的居民,这些区域嵌套在整个荷兰的 387 个城市中。多水平 Tobit 回归模型被用来评估自然和建成环境与平均每日骑自行车时间(以分钟计)之间的关联,同时调整了个体和家庭特征。还研究了自然和建成环境特征与城市规模对骑自行车时间的交互效应。
较高的地址密度、更多的公共汽车站和离家最近的火车站的距离较短与骑自行车时间呈正相关。受访者更有可能在温度较高、风力较小和降水较少的日子里骑自行车。交互测试表明,与中、大型城市相比,小城区的街道密度和地址密度增加对骑自行车的促进作用较小。另一方面,与公共汽车站数量和骑自行车时间的正相关关系在最大和中型城市中比在小城区和农村地区弱。
交互作用表明,环境特征与骑自行车时间之间的关系具有特定背景(即依赖于高度城市化和欠城市化地区之间的差异情况)。我们的研究结果需要在其他国家进行复制,以更深入地了解环境因素与城市规模之间的相互作用。