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

<p dir="ltr">This dataset provides comprehensive information on road intersection pedestrian crashes resulting in serious injuries and/or fatalities 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 5% of the total "high-low" outlier 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 support metric values, ranging from 0,05 to 0,099, with entries presented in descending order.</p><p dir="ltr"><u>Data Specifics</u></p><p dir="ltr">Data Type: Geospatial-temporal categorical data</p><p dir="ltr">File Format: Excel document (.xlsx)</p><p dir="ltr">Size: 477 KB</p><p dir="ltr">Number of Files: The dataset contains a total of 10260 association rules</p><p dir="ltr">Date Created: 24th May 2024</p><p dir="ltr"><u>Methodology</u></p><p dir="ltr">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</p><p dir="ltr">Software: ArcGIS Pro, Python</p><p dir="ltr">Processing 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 pedestrian crashes resulting in serious injuries and/or fatalities 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 0,05 support metric value. Consequently, commonly occurring crash attributes among at least 5% of the "high-low" outlier road intersection pedestrian crashes resulting in serious injuries and/or fatalities were extracted for inclusion in this dataset.</p><p dir="ltr"><u>Geospatial Information</u></p><p dir="ltr"><u>Spatial Coverage</u>:</p><p dir="ltr">West Bounding Coordinate: 18°20'E</p><p dir="ltr">East Bounding Coordinate: 19°05'E</p><p dir="ltr">North Bounding Coordinate: 33°25'S</p><p dir="ltr">South Bounding Coordinate: 34°25'S</p><p dir="ltr">Coordinate System: South African Reference System (Lo19) using the Universal Transverse Mercator projection</p><p dir="ltr"><u>Temporal Information</u></p><p dir="ltr">Temporal Coverage:</p><p dir="ltr">Start Date: 01/01/2017</p><p dir="ltr">End Date: 31/12/2019</p>