Elsevier

Procedia Engineering

Volume 212, 2018, Pages 1123-1130
Procedia Engineering

Understanding of Impact and Propagation of Risk based on Social Network Analysis

https://doi.org/10.1016/j.proeng.2018.01.145Get rights and content
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Abstract

The inherent risks within urban infrastructure system exert significant consequences on the dependent community. As the risk is a product of a complex set of network processes. the complexity is better assessed by understanding the risk nature, interrelationship dynamic and impact propagation pattern. Experts and professionals often use various assessment models and tools to help understand risk nature. Nonetheless, such models are not designed to capture the interconnections that shape risks based on community participation. This study proposes a novel model to capture, draw and simulate the risk impact propagation pattern and interrelationships based on a single mode network analysis. Following the concept of social risk amplification, a process of developing risk network map based on community perspective is presented. The proposed model is applied on a water supply infrastructure system. A total of 30 risk events were used for collection of data from 126 individuals across eight different stakeholder categories. This study reveals that participatory networked approaches to risk interrelationship analysis are better suited to capturing the intricate processed that shape infrastructure risk. This approach could potentially provide a way forward for developing mitigation strategy, intervention and policy that seek to address risk complex phenomena and thus enhancing both infrastructure and community resilience.

Keywords

Participatory
Unimodial network
Community resilience
Infrastructure system
Risk network

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