نبذة مختصرة : 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 Specifics Data Type: Geospatial-temporal categorical data File Format: Excel document (.xlsx) Size: 18,3 KB Number of Files: The dataset contains a total of 258 association rules Date Created: 24th May 2024 Methodology Data Collection Method: The descriptive road traffic crash data per crash victim involved in the crashes was obtained from the City of Cape Town Network Information Software: ArcGIS Pro, Python Processing 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 Information Spatial Coverage : West Bounding Coordinate: 18°20'E East Bounding Coordinate: 19°05'E North Bounding Coordinate: 33°25'S South Bounding Coordinate: 34°25'S Coordinate System: South African Reference System (Lo19) using the Universal Transverse Mercator projection ...
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