A top-down approach for a multi-scale identification of risk areas in infrastructures: particularization in a case study on road safety

Author:

Rúa ErikORCID,Comesaña-Cebral Lino,Arias Pedro,Martínez-Sánchez Joaquín

Abstract

Abstract Introduction Transport infrastructures have an important function in society and the development of a country. In Spain, the most used modes of traveler transport are road and rail, far ahead of other means of transport such as air or maritime transport. Both rail and road infrastructures can be affected by numerous hazards, endangering their performance and the safety of users. This study proposes a methodology with a multiscale top-down approach to identify the areas affected by fire, landslide, and safety in road and rail infrastructures in Galicia (Northwest Spain). Methodology The methodology is developed in three steps, coinciding with the three scales considered in this work: network-, system-, and object-level. In the first step, risk areas are identified and prioritized, resulting in the most critical safety risk in a motorway section. This area defines a study scenario composed of a location (A-55 motorway) and the associated risk (road safety). In the second step, the road safety factors within this scenario are selected, hierarchized, and weighted using a combination of Multi-Criteria Decision-Making methods including the Analytical Hierarchy Process and the Best–Worst Method. Finally, a risk map is generated based on the weighting of infrastructure-related safety factors and compared to real historical accident data for validation. The methodology is based on road and risk assessment standards and only information in the public domain is used. Results Results show that only 3 segments out of 153 were classified incorrectly, which supports a probability higher than 95% of agreement with real data (at 5% significance level). In a conclusion, the overall methodology exhibits a high potential for hazard prevention and road-safety enhancement.

Funder

Ministerio de Ciencia, Innovación y Universidades

Horizon 2020

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering,Transportation,Automotive Engineering

Reference57 articles.

1. European Statistical Office (Eurostat, 2021). https://ec.europa.eu/eurostat/web/main/data/database (accessed Jun. 21, 2021).

2. Instituto Nacional de estadística (INE, 2021). https://www.ine.es/dyngs/INEbase/es/categoria.htm?c=Estadistica_P&cid=1254735576820 (accessed Jun. 21, 2021).

3. Industry, Innovation and Infrastructure (2015). Sustainable Development Goals. Target 2030 ONU General Assembly.

4. ISO (2009). Bases for design of structures-General principles on risk assessment of systems involving structures. ISO 13824.

5. Guidelines on Performance-based Risk Analyses (PRA) (2018). ProBo Support Desk.

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3