Mohamed Firas, Chandrabose Manoj, Mohammad Forkan Abdur Rahim, Owen Neville, Sugiyama Takemi
Centre for Urban Transitions, Swinburne University of Technology, Melbourne 3122, Australia.
Department of Mathematical Sciences, South Eastern University of Sri Lanka, Sammanthurai 32200, Sri Lanka.
Int J Environ Res Public Health. 2024 Dec 10;21(12):1648. doi: 10.3390/ijerph21121648.
To better understand environmental attributes associated with cycling, it is necessary to identify an area within which such attributes are measured. Various sizes of a "buffer" drawn from home have been used for this purpose. The distances adults cycle to/from their homes may inform the determination of empirically supported buffer sizes. We examined the distribution of cycling distances using Australian travel survey data collected between 2012 and 2020. We used a Random Forest model to identify the relative importance of factors influencing participant's cycling distance and then reported variations in cycling distances by the most important factors. Of the 73,142 survey participants who were aged between 20 and 74 and reported at least one trip on the survey day, 1676 (67% men) reported 3446 home-based cycling trips, with a median distance of 3.5 km. The most important factor was trip purpose, followed by gender. The median distances were 1.8 km for utilitarian, 5.3 km for commuting and 3.7 km for recreational cycling trips. Men cycled longer distances than women, particularly for commuting and recreational cycling. The significant variation in cycling distance by trip purpose implies the need for having purpose-specific spatial scales in identifying environmental attributes associated with cycling more accurately.
为了更好地理解与骑行相关的环境属性,有必要确定一个测量这些属性的区域。为此,人们使用了从家出发绘制的各种大小的“缓冲区”。成年人往返家的骑行距离可能有助于确定基于经验的缓冲区大小。我们使用2012年至2020年收集的澳大利亚旅行调查数据研究了骑行距离的分布情况。我们使用随机森林模型来确定影响参与者骑行距离的因素的相对重要性,然后按最重要的因素报告骑行距离的变化。在73142名年龄在20至74岁之间且在调查日至少报告了一次出行的调查参与者中,1676人(67%为男性)报告了3446次以家为起点的骑行出行,中位数距离为3.5公里。最重要的因素是出行目的,其次是性别。功利性出行的中位数距离为1.8公里,通勤为5.3公里,休闲骑行出行则为3.7公里。男性骑行的距离比女性更长,尤其是在通勤和休闲骑行方面。出行目的导致的骑行距离显著差异意味着,在更准确地识别与骑行相关的环境属性时,需要有针对特定目的的空间尺度。