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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

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posted on 2024-06-06, 11:16 authored by Simone VieiraSimone Vieira, Simon HullSimon Hull, Roger Behrens

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

Temporal Information

Temporal Coverage:

Start Date: 01/01/2017

End Date: 31/12/2019

Funding

Centre for Transport Studies UCT

History

Department/Unit

Department of Architecture, Planning and Geomatics

Product Type

  • Site Map File Set