Association analysis of high-high cluster road intersection crashes involving public transport within the CoCT in 2017, 2018, 2019 and 2021

This dataset provides comprehensive information on road intersection crashes involving public transport (Bus, Bus-train, Combi/minibusses, midibusses) recognised as "high-high" clusters within the City of Cape Town. It includes detailed records of all intersection crashes and their corresponding crash attribute combinations, which were prevalent in at least 10% of the total "high-high" cluster public transport road intersection crashes for the years 2017, 2018, 2019, and 2021.The dataset is meticulously organised according to support metric values, ranging from 0,10 to 0,171, with entries presented in descending order.Data SpecificsData Type: Geospatial-temporal categorical dataFile Format: Excel document (.xlsx)Size: 160 KBNumber of Files: The dataset contains a total of 1620 association rulesDate Created: 23rd May 2024MethodologyData Collection Method: The descriptive road traffic crash data per crash victim involved in the crashes was obtained from the City of Cape Town Network InformationSoftware: ArcGIS Pro, PythonProcessing Steps: Following the spatio-temporal analyses and the derivation of "high-high" cluster fishnet grid cells from a cluster and outlier analysis, all the road intersection crashes involving public transport that occurred within the "high-high" cluster fishnet grid cells were extracted to be processed by association analysis. The association analysis of these crashes was processed using Python software and involved the use of a 0,10 support metric value. Consequently, commonly occurring crash attributes among at least 10% of the "high-high" cluster road intersection public transport crashes were extracted for inclusion in this dataset.Geospatial InformationSpatial Coverage:West Bounding Coordinate: 18°20'EEast Bounding Coordinate: 19°05'ENorth Bounding Coordinate: 33°25'SSouth Bounding Coordinate: 34°25'SCoordinate System: South African Reference System (Lo19) using the Universal Transverse Mercator projectionTemporal InformationTemporal Coverage:Start Date: 01/01/2017End Date: 31/12/2021 (2020 data omitted)

本数据集详尽地记录了涉及公共交通（公交车、公交列车、组合车/微型巴士、中型巴士）的路口交通事故信息，这些事故在开普敦市内被识别为“高度相关”集群。该数据集包含了所有路口交通事故的详细记录及其相应的碰撞属性组合，这些组合在2017年、2018年、2019年和2021年的“高度相关”集群公共交通路口交通事故中至少占到了总数的10%。数据集严格按照支持度度量值精心组织，范围从0.10至0.171，条目按降序排列。数据具体信息：
数据类型：地理时空分类数据
文件格式：Excel文档（.xlsx）
大小：160 KB
文件数量：数据集包含总共1620条关联规则
日期创建：2024年5月23日
方法论：数据收集方法：通过开普敦市网络信息获取每起事故中涉及的事故受害者的描述性道路交通事故数据
软件：ArcGIS Pro，Python
处理步骤：在完成时空分析和从聚类及异常分析中推导出“高度相关”集群的鱼网网格单元之后，提取了所有发生在“高度相关”集群鱼网网格单元内的涉及公共交通的路口交通事故，以进行关联分析。这些事故的关联分析使用Python软件进行处理，并涉及使用0.10支持度度量值。因此，从至少10%的“高度相关”集群路口交通事故中提取了常见碰撞属性，并包含在本数据集中。
地理信息：
空间覆盖：
西边界坐标：18°20'东
东边界坐标：19°05'东
北边界坐标：33°25'南
南边界坐标：34°25'南
坐标系：采用通用横墨卡托投影的南非参考系统（Lo19）
时间信息：
时间覆盖：
起始日期：2017年1月1日
结束日期：2021年12月31日（2020年数据省略）