Cluster Analysis of Daily Cycling Flow Profiles during COVID-19 Lockdown in the UK
Cluster Analysis of Daily Cycling Flow Profiles during COVID-19 Lockdown in the UK
复制标题
英国 COVID-19 封锁期间每日自行车流量曲线的聚类分析
DOI：
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发表时间：
2022
影响因子：
2.3
通讯作者：
M. Bell
中科院分区：
文献类型：
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作者：
M. Burke;D. Dissanayake;M. Bell
COVID-19大流行以及由此导致的政府强制封锁影响了世界各地人们的旅行行为和生活。在本研究中，使用分层聚类分析（HCA）来量化2020年COVID-19大流行期间6个月期间公众对不同级别限制的反应对骑自行车者每日流量概况的影响。英国泰恩和威尔的一个感应环路网络提供了来自25个站点的循环流量数据。在“covid -19前”基准年和2020年之间进行配对样本t检验，以确定每个站点的骑行量如何变化。然后对日每小时流量曲线进行HCA，观察它们在同一时间段内的变化情况。最后，分析了日流剖面与体积的关系。在封锁期间，研究区域的总体骑行量增加了38%。增幅最大的是沿海地区，郊区的增幅较小，城市中心地区的增幅较小。日流量剖面的HCA显示，非通勤型流量相关区域的HCA增幅最大，而通勤型流量相关区域的HCA增幅较小。随着封锁限制的放松，流量概况开始恢复到大流行前的正常水平，但从未完全恢复到大流行前的水平。大流行后采用在家工作将改变通勤行为。本研究的结论表明，在规划未来自行车方案的设计和选址时，应考虑非通勤出行，而流量剖面的HCA可以作为一种量化自行车日流量剖面变化的方法，帮助这一决策过程。
The COVID-19 pandemic and resulting government-enforced lockdown affected the travel behavior and lives of people worldwide. In this research, hierarchical cluster analysis (HCA) is used to quantify the impact on daily flow profiles of cyclists due to the public’s response to different levels of restrictions during a 6-month period of the COVID-19 pandemic in 2020. An inductive loop network in Tyne and Wear, the UK provided cycle flow data from 25 sites. A paired sample t-test was carried out between the “Pre-COVID-19” baseline year and 2020 to determine how cycling volumes changed at each site. The HCA was then performed on the diurnal hourly flow profiles to observe how they changed within the same time period. Finally, the relationship between diurnal flow profile and volume was assessed. Overall cycling volume in the study area increased by 38% during the lockdown. The highest increases were found at coastal sites, with more modest increases in suburban areas and reduced volumes at city center locations. The HCA of the diurnal flow profiles revealed that locations associated with noncommuting-shaped flows witnessed the largest increases while commuting profiles saw a decrease. As lockdown restrictions eased, flow profiles began to revert back to the prepandemic norm but never fully returned to prepandemic levels. The adoption of working from home postpandemic will change commuting behavior. The conclusions drawn from this study suggest consideration of noncommuting trips should be made when planning the design and location of future cycling schemes, and the HCA of flow profiles can assist in this decision-making process as a method to quantify changes in daily flow profiles of cycling.