Topic analysis of Road safety inspections using latent dirichlet allocation: A case study of roadside safety in Irish main roads

Accident; Analysis and Prevention
Carlos RoqueRoland Weber

Abstract

Under the Safe System framework, Road Authorities have a responsibility to deliver inherently safe roads and streets. Addressing this problem depends on knowledge of the road network safety conditions and the number of funds available for new road safety interventions. It also requires the prioritisation of the various interventions that may generate benefits, increasing safety, while ensuring that reasonable steps are taken to remedy the deficiencies detected within a reasonable timeframe. In this context, Road Safety Inspections (RSI) are a proactive tool for identifying safety issues, consisting of a regular, systematic, on-site inspection of existing roads, covering the whole road network, carried out by trained safety expert teams. This paper aims to describe how topic modelling can be effectively used to identify co-occurrence patterns of attributes related to the run-off-road crashes, as well as the corresponding patterns of road safety interventions, as described in the RSI reports. We apply latent Dirichlet allocation (LDA), a widespread method for fitting a topic model, to analyse the topics mentioned in RSI reports, divided into two groups: problems found; and proposed solutions. For this study, 54 RSI gathered over ...Continue Reading

Citations

Dec 8, 2020·Accident; Analysis and Prevention·Keneth Morgan KwayuJun-Seok Oh
Jan 19, 2021·Accident; Analysis and Prevention·Farman AliKyung-Sup Kwak
Nov 30, 2021·Journal of Applied Clinical Medical Physics·Hongguang YunZheng Liu

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