Integrated Methodology for Assessing Vulnerabilities of Infrastructure for Extreme Climate Events

The
infrastructure vulnerability to the climate change is increasing around
the world and its implications are evident in many sectors. Settlement patterns, urbanization, and changes in socioeconomic
conditions have all influenced observed trends in exposure and
vulnerability to climate extremes.
Small island states are
particularly vulnerable to climate extremes, especially where urban
centers and/or island infrastructure predominate in coastal locations.
Asia’s mega-deltas are also exposed to extreme events such as storm
surge flood and have vulnerable populations in expanding urban areas.
This research is focused on developing an integrated methodology to
identify infrastructure vulnerability exposed to tropical cyclone along
the sea coastal. Infrastructure is commonly defined as the various components of the built environment that support modern society (e.g., Choguill 1996).
These encompass utilities, transportation systems, communication
networks, water systems, and other elements that include some of the
most critical underpinnings of civilization. Thus even modest
disruptions to infrastructure can have significant effects on daily
life, and any systematic change in the frequency or intensity of those
disruptions could have profound consequences for economic and human
well-being.

The general concept of vulnerability
can be analysed in three main categories: physical, systemic and
organizational/social vulnerability. In this study we are focused only
on the physical vulnerability: investigates
how much items like population,
residential buildings, critical facilities, industries and lifelines are
prone to a dangerous phenomenon. Even though the other two categories
are not considered in this work, they are also very crucial to define
the risk, and then the expected damage associated at the hazard. Using
the dimension proposed by Fussel (2007) the vulnerable situation can be defined as: “vulnerability of a system’s attributes of concern to a hazard in temporal reference”.

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