道路桥梁风险和替代路线:确定道路网络的复原力

Giada Limongi , Pasquale Bencivenga , Costantino Dell’Aversano , Vittorio Emanuele Iervolino , Angelo Lavino , Mattia Zizi , Gianfranco De Matteis
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引用次数: 0

摘要

公路网既是风险因素,也是确保周边地区交通便利的关键基础设施。桥梁的总体风险水平取决于地球物理(主要是地震和山体滑坡)和水文气象灾害(主要是洪水)、结构的物理脆弱性和暴露程度(主要是交通流量和替代道路的存在造成的)。在山区和边缘地区,整个领土系统的可达性直接取决于少数主干道和次干道。根据《部级指南》,桥梁风险评估从周边地区的交通可达性和道路网络的冗余度出发,为地区风险评估提供投入,以确定道路网络的抗灾能力。本研究旨在了解桥梁作为道路网络中的风险要素之间的关系,以及桥梁对领土整体可达性的影响。在这项研究中,通过对卡塞尔塔省(坎帕尼亚大区)的一组选定道路进行地理信息系统分析,将选定道路沿线桥梁的存在情况与桥梁所连接城市的可达性水平数据相结合。为此,参考了《国家内部地区战略》(SNAI)提供的分类方法,以了解这种分类方法如何因桥梁中断而导致道路中断。本文旨在为实施一种方法奠定基础,该方法可根据 SNAI 分类所采用的旅行时间来确定替代道路的存在,并由此定义独特的阈值,从而证明暴露等级的变化是合理的,并可确定整个道路网络的恢复能力。
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Road bridges exposure and alternative routes: towards the definition of road network resilience
The road network represents both element-at-risk and key infrastructure to ensure the accessibility of peripheral areas. The overall risk levels of bridges depend on geophysical (mainly earthquakes and landslides) and hydrometeorological hazards (mainly floods), the physical vulnerability of structures, and the exposure (mainly resulting from traffic flows and the presence of alternative roads). In mountain contexts and peripheral territories, the accessibility of entire territorial system directly depends on few trunk and secondary roads. The risk assessment of bridges, according to the Ministerial Guidelines, provides inputs for a territorial risk assessment starting from the accessibility of peripheral territories and the redundancy of the road network as features to determine the resilience of the road network. This study aims at understanding the relationships between bridges as elements-at-risk part of the road network and the influence they have on the overall accessibility of a territory. In this study, through a GIS analysis of a set of selected roads of the Provinces of Caserta (Campania Region), the presence of bridges along the selected roads have been combined with data on the accessibility levels of municipalities they connect. At this purpose, reference to the classification provided by the National Strategy for Inner Areas (SNAI) has been made to understand how such a classification can change due to a road interruption because of a bridge interruption. The contribution aims at setting the stage for the implementation of a method to determine the presence of alternative roads based on travel times adopted by the SNAI classification and, as a result, the definition of unique threshold values that justifies the variation of the exposure class and allows to determine the resilience of the whole road network.
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