scholarly journals ROAD NETWORK ANALYSIS FOR RISK AND RESILIENCE ASSESSMENT FRAMEWORK OF ROAD INFRASTRUCTURE SYSTEMS

2020 ◽  
Author(s):  
SILVIA IENTILE ◽  
FRANZSIKA SCHMIDT ◽  
CHRISTOPHE CHEVALIER ◽  
ANDRE ORCESI ◽  
LUCAS ADELAIDE ◽  
...  
Keyword(s):  
Network Analysis ◽  
Road Network ◽  
Risk And Resilience ◽  
Assessment Framework ◽  
Road Infrastructure ◽  
Infrastructure Systems ◽  
Resilience Assessment

scholarly journals A PERFORMANCE-BASED COASTAL ENGINEERING FRAMEWORK

2020 ◽  
pp. 16
Author(s):  
Catalina Gonzalez-Duenas ◽  
Jamie E. Padgett
Keyword(s):  
Coastal Engineering ◽  
Coastal Communities ◽  
Time Varying ◽  
Risk And Resilience ◽  
Probabilistic Framework ◽  
Coastal Structures ◽  
Coastal Regions ◽  
Infrastructure Systems ◽  
Inform Decision Making ◽  
Resilience Assessment

Coastal regions are exposed to both chronic and punctuated hazards, such as sea level rise and hurricane events, that can jeopardize entire coastal communities. Therefore, to effectively assess the risk and resilience of coastal communities subjected to multi-hazard environments, evaluation of the capacity of individual structures and infrastructure systems to withstand the different time-varying demands imposed in coastal settings is of paramount importance. This study proposes a comprehensive probabilistic framework for the design, risk and resilience assessment of coastal structures. The methodology also provides useful tools to inform decision-making, facilitate recovery efforts and improve resource allocation.Recorded Presentation from the vICCE (YouTube Link): https://youtu.be/8SI3Dw30yes

scholarly journals Quantitative method for resilience assessment framework of airport network during COVID-19

PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0260940
Author(s):  
Jiuxia Guo ◽  
Yang Li ◽  
Zongxin Yang ◽  
Xinping Zhu
Keyword(s):  
Complex Network ◽  
Small World ◽  
Global Scale ◽  
Assessment Framework ◽  
Small World Networks ◽  
Scale Free ◽  
Global Pandemic ◽  
Network Metrics ◽  
Resilience Assessment

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.

Slow-moving landslides interacting with the road network: Analysis of damage using ancillary data, in situ surveys and multi-source monitoring data

2019 ◽  
Vol 260 ◽  
pp. 105244 ◽  
Author(s):  
Nicoletta Nappo ◽  
Dario Peduto ◽  
Olga Mavrouli ◽  
Cees J. van Westen ◽  
Giovanni Gullà
Keyword(s):  
Network Analysis ◽  
Road Network ◽  
Source Monitoring ◽  
Monitoring Data ◽  
Ancillary Data ◽  
The Road ◽  
Slow Moving
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