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March 3, 2026Transportation research procedia0 citationsOpen Access

Comparative analysis of the quality of local road repairs in the context of road traffic safety

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NBNatalia Brycht

Key Points

  • Quality of road repairs has significantly decreased, leading to heightened risks of road accidents.
  • The most notable decrease was in roadside condition, which fell by 1.0, affecting safety measures.
  • Assessment focused on seven parameters known to impact road traffic safety over the last 18 years.
  • Insufficient financial resources contribute to ongoing deterioration of road pavement and inadequate maintenance.

Abstract

The number of road accidents has increased significantly over the last decade. The main reasons for this phenomenon are excessive speed, alcohol and failure to give way. The technical condition of roads also has a major impact on road traffic safety, which directly affects the comfort of their use. In this context, it is necessary to ensure the highest possible level of quality of road sections being constructed and repairs of existing ones. Unfortunately, insufficient financial resources are a serious barrier to carrying out repair activities and regular maintenance work. The result is a constantly deteriorating condition of roads, which often leads to degradation of the road pavement structure and creates a real risk of road accidents. Another common phenomenon is carrying out repair works using lower quality materials or in a manner not adapted to the actual road conditions. This results in faster wear of the pavement being used and the need to carry out repairs at short intervals. The aim of this study is to assess the quality of repairs of local roads using comparative analysis. The subject of the research were identified road sections that underwent repairs over the last 18 years. Seven parameters affecting road traffic safety were assessed, and the results were compared with the assessment made in 2021. Based on the research, it was found that the quality of all analyzed parameters decreased except for the parameter "daytime driving" (increase by 0.1). The greatest regression was recorded for the parameters "roadside condition" (by 1.0) and "drainage condition" (by 0.7).

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Natalia Brycht (2026) studied this question.

synapsesocial.com/papers/69a75cf6c6e9836116a264a5https://doi.org/10.1016/j.trpro.2025.12.004
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