CRAFT: Comprehensive Resilience Assessment Framework for Transportation Systems in Urban Areas
CRAFT: Comprehensive Resilience Assessment Framework for Transportation Systems in Urban Areas
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CRAFT：城市地区交通系统综合弹性评估框架
DOI：
10.1016/j.aei.2020.101159
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发表时间：
2020
影响因子：
8.8
通讯作者：
Wei, Dan
中科院分区：
文献类型：
--
作者：
Koc, Eyuphan;Cetiner, Barbaros;Rose, Adam;Soibelman, Lucio;Taciroglu, Ertugrul;Wei, Dan
美国和全球的城市地区正面临着日益复杂的韧性挑战。在“城市系统”的组成部分中，交通网络是支持城市居民生活、互动和动态的最关键的促进者之一。它们不仅在一切照旧的情况下对社会的福祉至关重要，而且在灾难发生时对整个反应和恢复时间表也至关重要。本文介绍了CRAFT（城市交通系统综合弹性评估框架），该框架旨在通过解决该领域的许多缺点和研究空白，实现对交通中断的整体分析。该框架将一种新颖的结构特定建模方法与基于真实社会经济数据的高保真大都市尺度旅行需求模型结合起来，并产生结果，这些结果反过来又作为基于可计算一般均衡（CGE）分析的最先进的社会经济影响分析方法的输入。由于其数据密集、基于模型和跨学科的特性，CRAFT旨在捕获和整合传统方法中通常被忽视的许多细节，并在3个层面上产生弹性见解：(1)系统组成层面（例如，桥梁、隧道的损坏和部件恢复的信息），(2)系统层面（例如，道路网络中断、交通和网络功能的重新配置）和(3)区域经济层面（例如，对区域GDP、就业、经济弹性的影响）。本文的目的是介绍CRAFT，并通过对大洛杉矶地区的一个案例研究，展示其在危险和运输模块之间的第一次耦合的工作原理。
Urban areas in the US and around the globe are facing increasingly complex resilience challenges. Among the components of the “urban system,” transportation networks are among the most critical facilitators that support the lives, interactions, and dynamics of urban dwellers. They are essential to the well-being of the society not only under business-as-usual conditions, but also during times of disaster for the entire response and recovery timeline. This paper introduces CRAFT (Comprehensive Resilience Assessment Framework for Transportation Systems in Urban Areas), which is designed to achieve holistic analyses of transportation disruptions by addressing the many shortcomings and research gaps in this domain. The framework couples a novel structure-specific modeling methodology with a high-fidelity metropolis-scale travel demand model based on real socioeconomic data, and produces results, which, in turn, serve as input for a state-of-the-art socioeconomic impact analysis methodology that is based on computable general equilibrium (CGE) analysis. By the virtues of its data-intensive, model-based, and cross-disciplinary nature, CRAFT aims to capture and incorporate many details that are usually neglected in traditional approaches, and generates resilience insights at 3 levels: (1) system component level (e.g., damages to bridges, tunnels and information on component recovery), (2) system level (e.g., road network disruptions, reconfiguration of traffic and network level functionality) and (3) regional economic level (e.g., impacts on regional GDP, employment, economic resilience). The objective of this paper is to introduce CRAFT and to demonstrate the workings of its first coupling between the hazard and transportation modules through a case study on the Greater Los Angeles Area.
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