Landslides-oriented urban disaster resilience assessment—A case study in ShenZhen, China

2019 ◽  
Vol 661 ◽  
pp. 95-106 ◽  
Author(s):  
Xiwen Zhang ◽  
Jing Song ◽  
Jian Peng ◽  
Jiansheng Wu
2017 ◽  
Vol 23 (2) ◽  
pp. 22-30
Author(s):  
Pamela Sitko ◽  
Avar Almuhktar

A city can be difficult to analyse. However, approaches such as urban morphology (the study of urban form) can assist with understanding what the city is by reflecting how urban form is influenced by interdependent social, governance and economic factors that contribute to building resilience. To illustrate how urban morphology can be used as an approach for understanding disaster resilience in cities, a case study of informal settlement upgrading impacted by a flood in Bangkok, Thailand is presented. A study of the Bang Bua Canal in Thailand’s capital city is used throughout the paper to demonstrate how disaster resilience can be analysed by using four morphological layers. The paper identifies key dimensions of resilience within each morphological layer. The dimensions highlight patterns of social, governance and economic influence on the built environment. Generalisable lessons from using morphology as an approach for understanding disaster resilience include: that resilience can be a way of building upon the existing capacities of low-income neighbourhoods; the concept is a positive when it helps neighbourhoods ‘bounce forward’ and that, crucially, resilience can act as a bridge between development and disasters. Key words: disaster, resilience, urban morphology, Bangkok, upgrading


2021 ◽  
Vol 55 ◽  
pp. 102080
Author(s):  
Nancy A. Brown ◽  
Shirley Feldmann-Jensen ◽  
Jane E. Rovins ◽  
Caroline Orchiston ◽  
David Johnston

2013 ◽  
Vol 07 (02) ◽  
pp. 1350005 ◽  
Author(s):  
GIAN PAOLO CIMELLARO ◽  
ALESSANDRO DE STEFANO ◽  
OMAR VILLA

The concept of disaster resilience has received considerable attention in recent years and it is increasingly used as an approach for understanding the dynamics of natural disaster systems. No models are available in literature to measure the performance of natural gas network, therefore, in this paper, a new performance index measuring functionality of gas distribution network have been proposed to evaluate the resilience index of the entire network. It can be used for any type of natural or manmade hazard which might lead to the disruption of the system. The gas distribution network of the municipalities of Introdacqua and Sulmona, two small towns in the center of Italy which were affected by 2009 earthquake have been used as case study. Together the pipeline network covers an area of 136 km2, with 3 M/R stations and 16 regulation groups. The software SynerGEE has been used to simulate different scenario events. The numerical results showed that, during emergency, to ensure an acceptable delivery service, it is crucial to guarantee the functionality of the medium pressure gas distribution network. Instead to improve resilience of the entire network the best retrofit strategy is to include emergency shutoff valves along the pipes.


2015 ◽  
Vol 79 (2) ◽  
pp. 755-774 ◽  
Author(s):  
Lila Singh-Peterson ◽  
Paul Salmon ◽  
Claudia Baldwin ◽  
Natassia Goode

PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0260940
Author(s):  
Jiuxia Guo ◽  
Yang Li ◽  
Zongxin Yang ◽  
Xinping Zhu

The resilience and vulnerability of airport networks are significant challenges during the COVID-19 global pandemic. Previous studies considered node failure of networks under natural disasters and extreme weather. Herein, we propose a complex network methodology combined with data-driven to assess the resilience of airport networks toward global-scale disturbance using the Chinese airport network (CAN) and the European airport network (EAN) as a case study. The assessment framework includes vulnerability and resilience analyses from the network- and node-level perspectives. Subsequently, we apply the framework to analyze the airport networks in China and Europe. Specifically, real air traffic data for 232 airports in China and 82 airports in Europe are selected to form the CAN and EAN, respectively. The complex network analysis reveals that the CAN and the EAN are scale-free small-world networks, that are resilient to random attacks. However, the connectivity and vulnerability of the CAN are inferior to those of the EAN. In addition, we select the passenger throughput from the top-50 airports in China and Europe to perform a comparative analysis. By comparing the resilience evaluation of individual airports, we discovered that the factors of resilience assessment of an airport network for global disturbance considers the network metrics and the effect of government policy in actual operations. Additionally, this study also proves that a country’s emergency response-ability towards the COVID-19 has a significantly affectes the recovery of its airport network.


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