Black Spot Location Identification for National Highway: A Case Study of Mugling – Kotre Section of Prithivi Highway of Nepal

Rajan Gurung, Rajendra Aryal, Narayan KC, Buddhi Raj Joshi
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Abstract

The rapid development of road infrastructure enhances connectivity and at the same time increases road crashes. A road traffic accident is one of the leading causes of injury and death in Nepal that has a great impact on the country’s economy. The identification of frequent road traffic crash spots and their causes are essential for the implementation of the most efficient countermeasures. Accident black spots are high-risk spots where numbers of accidents take place frequently and repeatedly. The study focused on the identification of black spots on the Mugling-Kotre section of the Prithivi highway of Nepal to provide knowledge for possible preventive measures for the improvement of road safety. The weighted severity index (WSI), prioritization index (PI), and focus group discussion have been performed to evaluate the safety status in the proposed area. The accident data were analyzed based on the weighted severity index (WSI), and the prioritization index (PI) was estimated by assigning a suitable weight to the factors contributing to an accident. Based on these results, six accident spots have been found critical regarding traffic safety. The result obtained from WSI and PI was further evaluated based on the focus group discussion so that essential safety measures could be implemented to enhance road safety.
国道黑点位置识别——以尼泊尔普里提维高速公路Mugling - Kotre路段为例
道路基础设施的快速发展增强了互联互通,同时也增加了道路交通事故。道路交通事故是尼泊尔造成伤亡的主要原因之一,对该国的经济产生重大影响。查明经常发生道路交通事故的地点及其原因对于实施最有效的对策至关重要。事故黑点是事故频繁、反复发生的高危地点。这项研究的重点是查明尼泊尔Prithivi高速公路Mugling-Kotre路段的黑点,以便为可能采取的预防措施提供知识,以改善道路安全。采用加权严重性指数(WSI)、优先级指数(PI)和焦点小组讨论来评估拟议区域的安全状况。基于加权严重程度指数(WSI)对事故数据进行分析,并通过对导致事故的因素分配合适的权重来估计优先级指数(PI)。根据这些结果,发现了六个对交通安全至关重要的事故点。在焦点小组讨论的基础上,进一步评价WSI和PI的结果,以便实施必要的安全措施,以提高道路安全。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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