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Association analysis of high-high cluster road intersection crashes involving motorcycles that resulted in injuries within the CoCT in 2017, 2018, 2019 and 2021

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DataCite Commons2024-06-06 更新2024-07-13 收录
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https://zivahub.uct.ac.za/articles/dataset/Association_analysis_of_high-high_cluster_road_intersection_crashes_involving_motorcycles_that_resulted_in_injuries_within_the_CoCT_in_2017_2018_2019_and_2021/25975825/1
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This dataset provides comprehensive information on road intersection crashes involving motorcycles (Motor tricycle, Motorcycle: under 125cc, Motorcycle: Above 125cc, Quadru-cycle) that have resulted in injuries 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 33% of the total "high-high" cluster motorcycle road intersection crashes resulting in injuries for the years 2017, 2018, 2019, and 2021. Data SpecificsData Type: Geospatial-temporal categorical dataFile Format: Excel document (.xlsx)Size: 37,4 KBNumber of Files: The dataset contains a total of 576 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 a motorcycle resulting in injuries that occurred within the "high-high" cluster fishnet grid cells were extracted to be processed by association analysis. The association analysis of the "high-high" cluster road intersection motorcycle crashes was processed using Python software and involved the use of a 0,30 support metric value. Consequently, commonly occurring crash attributes among at least 33% of the "high-high" cluster road intersection motorcycle crashes resulting in injuries 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)
提供机构:
University of Cape Town
创建时间:
2024-06-05
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