TY  - JOUR
PY  - 2020//
TI  - Application of household disruption data to delineate critical infrastructure resilience characteristics in the aftermath of disaster: a case study of Bhaktapur, Nepal
JO  - Safety science
A1  - Nazarnia, Hadi
A1  - Sarmasti, Hadi
A1  - Olivia Wills, W.
SP  - 573
EP  - 579
VL  - 121
IS  - 
N2  - Assessing the resilience and interdependence of civil infrastructure systems in order to provide a resilient community for resident has become a prevalent topic among policy-makers, authorities, and scholars around the world. Despite significant advances in this field, there is still a lack of research regarding comprehension of the actual behavior of civil infrastructures in response to hazards and disasters due to their complexity and hidden interconnectivity. This study utilizes disruption data and a network analysis framework to describe resilience dimensions in two infrastructures and further validate the previously presented model. Following the evaluation of infrastructures and the previous model, interdependency between two lifelines will be discussed. Service disruption data is a valuable resource to confirm various theoretical methods. A case study of lifelines in Bhaktapur, Nepal is presented to show applicability of the network analysis model and service disruption data in evaluating the interdependencies between these two lifelines. The resilient characteristics of water infrastructure and the interdependence to power infrastructure are explained. The contribution of this article is threefold: (i) validation of a novel network approach using disruption information, (ii) analysis of recoverability, sensitivity, and types of disruption patterns, and (iii) comparison of behavior and interdependencies between the infrastructures.<p />  <p>Language: en</p>
LA  - en
SN  - 0925-7535
UR  - http://dx.doi.org/10.1016/j.ssci.2019.02.014
ID  - ref1
ER  -