伦敦疫情下更安全的交通恢复--车祸时空数据采掘
Safer Traffic Recovery from the Pandemic in London -- Spatiotemporal Data Mining of Car Crashes
摘要：
为了通过智能地改善道路安全来支持伦敦从大流行中更安全地复苏，这项研究调查了年龄相关车祸的时空模式和影响因素，回答了两个主要研究问题：（1）“伦敦2019年和2020年两个典型年份的车祸时空模式及其变化，影响因素是如何起作用的？";（2）“按年龄组划分的伤亡人数的时空模式是什么，以及人们的日常活动如何影响大流行前和大流行期间的模式”？三种方法，即，空间分析（网络核密度估计）、因子分析和时空数据采掘（张量分解）分别用于确定每周和每日车祸的时间模式，检测车祸的热点，并更好地了解大流行之前和之后市民的日常活动对车祸模式的影响。研究发现，车祸主要集中在伦敦市中心，特别是兴趣点密集的中心地带，兴趣点作为市民日常活动和出行行为的反映，通过地理探测器进一步评估相互作用，有助于更好地了解车祸模式;不同年龄组别的交通意外伤亡模式各不相同，而不同年龄组别的交通意外伤亡模式与兴趣指数之间的关系亦各不相同。总而言之，该文件对伦敦的车祸及其伤亡模式进行了深入的探索性分析，以促进部署政策，从而在COVID-19疫情后实现更安全的复苏。
英文摘要：
In the aim to support London's safer recovery from the pandemic by improving road safety intelligently, this study investigated the spatiotemporal patterns of age-involved car crashes and affecting factors, upon answering two main research questions: (1)"What are the spatial and temporal patterns of car crashes as well as their changes in two typical years, 2019 and 2020, in London, and how the influential factors work?"; (2)"What are the spatiotemporal patterns of casualty by age groups, and how people's daily activities affect the patterns pre- and para- the pandemic"? Three approaches, i.e., spatial analysis (network Kernel Density Estimation, NetKDE), factor analysis, and spatiotemporal data mining (tensor decomposition), had been implemented to identify the temporal patterns of car crashes on weekly and daily basis respectively, detect the crashes' hot spots, and to gain better understanding the effect from citizens' daily activity on crashes' patterns pre- and para- the pandemic. It had been found from the study that car crashes mainly clustered in the central part of London, especially busier areas around denser hubs of point-of-interest (POIs); the POIs, as a reflector for citizens' daily activities and travel behaviours, can be of help to gain a better understanding of the crashes' patterns, upon further assessment on interactions through the geographical detector; the crashes' casualty patterns varied by age group, with distinctive relationships between POIs and crashes' pattern for corresponding age group categorised. In all, the paper provided an in-depth exploratory analysis of car crashes and their casualty patterns in London to facilitate deployment policies towards post-pandemic safer recovery upon COVID-19.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
