Car oriented urban areas are characterised by pedestrian-vehicle collisions. The aim of this paper is to examine such collisions between 2004 and 2018 and determine the characteristics of accident and injury risk for pedestrians in Malta. First, we investigated the relationship between the variables (age, gender, month, day, time, district, injury, and category) to establish the accident characteristics using a Multiple Correspondence Analysis (MCA). Second, we categorised the results from the MCA into groups by means of a Cluster Analysis. Third, we analysed spatially the categories by means of Kernel Density Estimation (KDE). The typological analysis provided two dimensions of pedestrian injuries namely, month and vehicle category, and age and time; these were the characteristics that were over-represented in comparison to the whole dataset of pedestrian injuries. The outputs of the Cluster Analysis provided clusters of types of injured pedestrians that are worth looking for planning and policy making, such as Group 2 the Summer party people. The KDE revealed patterns that should be investigated in future research on the relationship between pedestrian-vehicle collisions and the built environment. These findings are useful to urban planners and transport engineers to design policies and measures aimed at improving pedestrian road safety.

面向汽车的城市地区的特点是行人与车辆的碰撞。本文的目的是研究2004年至2018年之间的此类碰撞，并确定马耳他行人的事故和伤害风险特征。首先，我们调查了变量（年龄，性别，月份，日期，时间，地区，伤害和类别）之间的关系，以使用多重对应分析（MCA）建立事故特征。其次，我们通过聚类分析将MCA的结果分为几类。第三，我们通过核密度估计（KDE）在空间上分析了类别。类型学分析提供了行人伤害的两个维度，即月份和车辆类别以及年龄和时间；与行人受伤的整个数据集相比，这些特征被过分强调了。聚类分析的输出提供了值得寻求规划和决策的受伤行人类型的聚类，例如第二组夏季聚会的人。KDE揭示了在未来的行人车辆碰撞与建筑环境之间的关系研究中应该研究的模式。这些发现对于城市规划者和运输工程师设计旨在改善人行道路安全的政策和措施很有用。KDE揭示了在未来的行人车辆碰撞与建筑环境之间的关系研究中应该研究的模式。这些发现对于城市规划者和运输工程师设计旨在改善人行道路安全的政策和措施很有用。KDE揭示了在未来的行人车辆碰撞与建筑环境之间的关系研究中应该研究的模式。这些发现对于城市规划者和运输工程师设计旨在改善人行道路安全的政策和措施很有用。