five

Association analysis of high-high cluster road intersection pedestrian crashes resulting in serious injuries and/or fatalities within the CoCT in 2017, 2018 and 2019

收藏
DataCite Commons2024-06-06 更新2024-07-13 收录
下载链接:
https://zivahub.uct.ac.za/articles/dataset/Association_analysis_of_high-high_cluster_road_intersection_pedestrian_crashes_resulting_in_serious_injuries_and_or_fatalities_within_the_CoCT_in_2017_2018_and_2019/25976719/1
下载链接
链接失效反馈
官方服务:
资源简介:
This dataset provides comprehensive information on road intersection pedestrian crashes resulting in serious injuries and/or fatalities 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 23% of the total "high-high" cluster pedestrian road intersection crashes resulting in serious injuries and/or fatalities for the years 2017, 2018 and 2019. The dataset is meticulously organised according to confidence metric values presented in descending order.Data SpecificsData Type: Geospatial-temporal categorical dataFile Format: Excel document (.xlsx)Size: 18,3 KBNumber of Files: The dataset contains a total of 258 association rulesDate Created: 24th 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 pedestrian crashes resulting in serious injuries and/or fatalities 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 0,20 support metric value. Consequently, commonly occurring crash attributes among at least 20% of the "high-high" cluster road intersection pedestrian crashes resulting in serious injuries and/or fatalities 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: 31/12/2019
提供机构:
University of Cape Town
创建时间:
2024-06-06
二维码
社区交流群
二维码
科研交流群
商业服务