Back to search

Article

A Knowledge Elicitation Approach to Traffic Accident Analysis in Open Data: Comparing Periods Before and after the Covid-19 Outbreak

2022-04-13

Abstract excerpt

This article presents a knowledge elicitation approach to exploring the determinants of traffic accidents from open government data of an urban area in Taiwan. The collected open dataset contains 34 decisional attributes and one predictive attribute (i.e., type of injury, including head, breast, leg), and 47,974 cases. Prediction models using a classification-oriented mechanism and generated rules that considered...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
d340bad5-9fcf-52fb-8731-a39b293f88b8
DOI
10.2139/ssrn.4082876
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
A Knowledge Elicitation Approach to Traffic Accident Analysis in Open Data: Comparing Periods Before and after the Covid-19 OutbreakDOI 10.2139/ssrn.4082876
Select a neighboring publication to make it the new centre.