论文标题
空间网络晶格数据的测量误差模型：利兹汽车崩溃的分析
Measurement Error Models for Spatial Network Lattice Data: Analysis of Car Crashes in Leeds
论文作者
论文摘要
道路伤亡代表了现代社会令人震惊的关注。在过去的几年中，一些作者提出了帮助当局实施新政策的复杂方法。通常考虑一组社会经济变量并忽略测量误差，这些模型通常是开发出来的，这可能会偏向统计推断。本文提出了一个贝叶斯模型，以考虑到空间协变量中的测量误差，以分析网络局限性级别的汽车撞车事件。建议的方法是通过考虑2011年至2019年利兹（英国）道路网络中的碰撞来体现的。使用从移动设备获得的大量计数近似交通量，并使用空间测量误差校正调整估计值。
Road casualties represent an alarming concern for modern societies. During the last years, several authors proposed sophisticated approaches to help authorities implement new policies. These models were usually developed considering a set of socioeconomic variables and ignoring the measurement error, which can bias the statistical inference. This paper presents a Bayesian model to analyse car crashes occurrences at the network-lattice level, taking into account measurement error in the spatial covariate. The suggested methodology is exemplified by considering the collisions in the road network of Leeds (UK) during 2011-2019. Traffic volumes are approximated using an extensive set of counts obtained from mobile devices and the estimates are adjusted using a spatial measurement error correction.
