Association analysis of high-low outlier 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-low" outliers 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-low" outlier 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 0,17, with entries presented in descending order.Data SpecificsData Type: Geospatial-temporal categorical dataFile Format: Excel document (.xlsx)Size: 65,9 KBNumber of Files: The dataset contains a total of 1280 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-low" outlier fishnet grid cells from a cluster and outlier analysis, all the road intersection crashes involving public transport that occurred within the "high-low" outlier 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-low" outlier 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)

本数据集提供开普敦市内被识别为“高低型”离群值的公共交通（巴士、公交列车、小型巴士/迷你巴士、中型巴士）涉道路交叉口交通事故的完整信息。本数据集包含所有道路交叉口交通事故及其对应事故属性组合的详细记录，这些事故属性组合在2017、2018、2019及2021年的“高低型”离群值公共交通道路交叉口交通事故总量中，出现频率不低于10%。本数据集依据支持度指标（support metric）值进行精心编排，指标取值范围为0.10至0.17，数据条目按降序排列。

### 数据集详情
- 数据类型：时空分类地理空间数据
- 文件格式：Excel文档（.xlsx）
- 大小：65.9 KB
- 关联规则总量：本数据集共包含1280条关联规则（association rules）
- 创建日期：2024年5月23日

### 研究方法
- 数据收集方法：本数据集的描述性道路交通事故数据取自开普敦市路网信息系统，数据涵盖每起事故中涉及的受害者相关信息。
- 所用软件：ArcGIS Pro、Python
- 处理流程：首先通过聚类与离群值分析提取出“高低型”离群值渔网网格单元（fishnet grid cells），并开展时空分析；随后提取发生在上述离群值渔网网格单元内的所有涉公共交通道路交叉口交通事故，再通过Python软件开展关联分析，本次分析采用0.10的支持度指标阈值。最终，提取出在至少10%的“高低型”离群值公共交通道路交叉口交通事故中频繁出现的事故属性组合，纳入本数据集。

### 空间信息
- 空间覆盖范围：
西边界坐标：东经18°20′
东边界坐标：东经19°05′
北边界坐标：南纬33°25′
南边界坐标：南纬34°25′
- 坐标系统：采用通用横轴墨卡托投影的南非参考坐标系（South African Reference System (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）