Association analysis of high-low outlier road intersection crashes stemming from road and environment factors within the CoCT in 2017, 2018, 2019 and 2021

This dataset provides comprehensive information on road intersection crashes induced by road and environment factors (Animals in road, Aqualane, Blinded, Falling object, Object in road, Pothole, Roadworks, Severe weather conditions/poor visibility, Slippery road - gravel, Slippery road - oil, Slippery road - gravel, Wild animals in road) recognised as "high-low" 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 10% of the total "high-high" cluster road intersection crashes induced by road and environment factors for the years 2017, 2018, 2019 and 2021. The dataset is meticulously organised according to support metric values, ranging from 0,10 to 0,315, with entries presented in descending order.

Data Specifics

Data Type: Geospatial-temporal categorical data

File Format: Excel document (.xlsx)

Size: 7,95 MB

Number of Files: The dataset contains a total of 187837 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-low" outlier fishnet grid cells from a cluster and outlier analysis, all the road intersection crashes induced by road and environment factors 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 crashes induced by road and environment factors 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

Temporal Information

Temporal Coverage:

Start Date: 01/01/2017

End Date: 31/12/2021 (2020 data omitted)