Collaborative Networks of Cognitive Systems - 19th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2018, Cardiff, UK, September 17-19, 2018, Proceedings
Collaborative Networks of Cognitive Systems - 19th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2018, Cardiff, UK, September 17-19, 2018, Proceedings
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认知系统协作网络 - 第 19 届 IFIP WG 5.5 虚拟企业工作会议，PRO-VE 2018，英国卡迪夫，2018 年 9 月 17-19 日，会议记录
DOI：
10.1007/978-3-319-99127-6_12
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
Cerè G
中科院分区：
文献类型：
--
作者：
Cerè G
全面分析建筑环境对自然灾害的复原力需要考虑作为一个协作网络相互作用和相互影响的多维参数，包括城市框架的实体方面(例如，结构和基础设施)和社会组织系统(例如，利益攸关方、设计师和政府)。本文通过分析，首先对表征城市环境的几个维度进行分类，如破坏和结构类型、城市连通性、建筑功能。这些因素与城市系统中建筑环境的复原力有关，城市系统被视为一个协作网络，以指出其组成部分之间的相关相互依存关系。特别是，这意味着要确定相关的社会-组织节点、它们的交互以及它们的协作如何反映在物理网络上。这一分析基于老北川的真实数据，老北川在2008年中国汶川地震中遭到严重破坏。
A holistic analysis of the resilience of the built environment in relation to natural disasters needs to consider multidimensional parameters being interactive and mutually influencing each other as a collaborative network, including the physical side of the urban framework (e.g., structures and infrastructures) and the socio-organizational system (e.g., stakeholders, designers and governments). In this paper, an analysis is conducted to first provide a categorization of several dimensions that characterize the urban context, such as damage and structural typology, urban connectivity, building functionality. These factors have been then related to the resilience of the built environment in the context of the urban system considered as a collaborative network in order to point out the relevant interdependencies between its components. Particularly, this is meant to identify the relevant socio-organizational nodes, their interaction and how their collaboration can reflect on the physical network. The analysis is based on the real data from Old Beichuan, a town severely destroyed in the 2008 Wenchuan earthquake in China.