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

This dataset provides comprehensive information on road intersection crashes 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 5% of the total "high-high" cluster road intersection crashes for the years 2017, 2018, 2019, and 2021. The dataset is meticulously organised according to support metric values, ranging from 0,05 to 0,0235, with entries presented in descending order.Data SpecificsData Type: Geospatial-temporal categorical dataFile Format: Excel document (.xlsx)Size: 499 KBNumber of Files: The dataset contains a total of 7186 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 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 0,05 support metric value. Consequently, commonly occurring crash attributes among at least 5% of the "high-high" cluster road intersection 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)

本数据集提供了开普敦市境内被识别为“高-高”聚类的道路交叉口碰撞事故的全面信息。其包含2017、2018、2019及2021年所有道路交叉口碰撞事故的详细记录，以及对应碰撞属性组合——这些组合在“高-高”聚类道路交叉口碰撞事故总量中占比至少5%。本数据集依据支持度（support metric）数值（范围0.05至0.0235）进行精心编排，条目按降序排列。

### 数据集详情
数据类型：时空分类数据
文件格式：Excel文档（.xlsx）
文件大小：499 KB
文件数量：本数据集共包含7186条关联规则
创建日期：2024年5月23日

### 研究方法
数据收集方法：本研究从开普敦市路网信息系统获取涉事交通事故受害者的描述性道路交通事故数据。
所用软件：ArcGIS Pro、Python
处理流程：首先通过聚类与异常值分析完成时空分析，并推导得到“高-高”聚类渔网网格单元；随后提取该网格单元范围内发生的所有道路交叉口碰撞事故，用于关联分析。本次关联分析采用Python软件完成，初始使用0.05的支持度阈值，最终提取出在至少5%的“高-高”聚类道路交叉口碰撞事故中普遍存在的碰撞属性组合，纳入本数据集。

### 空间信息
空间覆盖范围：
西边界坐标：18°20'E
东边界坐标：19°05'E
北边界坐标：33°25'S
南边界坐标：34°25'S
坐标系统：采用通用横轴墨卡托投影的南非参考坐标系（Lo19）

### 时间信息
时间覆盖范围：
起始日期：2017年1月1日
结束日期：2021年12月31日（2020年数据未纳入）