1.2. Roads and Their Risk Assessment

And the roads which is asphalt roads which having the low risk and gravel roads and unpaved roads which are more into the high risk. That is how the categorization of the built environment into 3 vulnerable classes.

This chunk explains the classification of roads based on risk exposure. It categorizes roads into three groups: low-risk (asphalt), medium-risk, and high-risk (gravel and unpaved). Asphalt roads are considered safer possibly due to better construction and maintenance, while gravel and unpaved roads are more prone to structural damage and washout during adverse weather conditions.

Think of roads like shoes. If you wear sturdy, well-constructed shoes (like asphalt roads), they are less likely to wear out or get damaged in different terrains. On the other hand, wearing soft slippers (like gravel or unpaved roads) makes it easier for them to get ruined, especially when you walk on rough surfaces.

And then coming to the social approach, what they did was they divided into 8 sectors the whole region into the eight sectors like you can see the River Delta which is forming out and the whole heritage properties about here. And that what they did was they divided this whole territory residential territory into 8 sectors and the community representatives from each sector formed the group to accomplish the group mapping exercise.

This chunk describes a social approach to mapping risks where the region was divided into eight sectors based on geological features like river deltas. Community representatives from each sector participated in mapping exercises to assess vulnerabilities and needs in their local areas. This grassroots approach emphasizes local knowledge and community involvement in risk assessment.

Imagine a big puzzle, where each piece represents a neighborhood in a town. By dividing the puzzle so that each area's residents can contribute their perspective on risks, the whole picture becomes clearer. Just like adding personal touches to a community artwork makes it more vibrant and accurate, involving local people in mapping creates a richer understanding of their environment.

So the biggest difficulty here is comparing the two maps because of the spatial data format one is the traditional flood risk map uses the one-meter raster grid cells, whereas the risk perception map is based on the polygons of varying sizes. So that is where a difficult to compare the same set of spatial data.

Here, we encounter a challenge in risk assessment: comparing two types of maps. One map uses a grid system to represent flood risk, while the other uses varied shapes or 'polygons' to depict community perceptions of risk. The difference in formats makes it hard to analyze and correlate the data effectively, leading to potential misunderstandings or inaccuracies in risk assessment.

Think of two people trying to compare scores from two different games. If one game uses points and the other uses levels, it's challenging to determine who is better without a common scale. Similarly, the different map formats make it hard to draw conclusions about flood risks and community concerns accurately.

Now when you talk about the physical vulnerability what are the places which has been in highly damaged, medium damaged, and the low damaged and which has been not defined. Similarly, the social target groups which are actually which are the most of these communities which are often affected and this is the social vulnerability map.

This chunk delves into different layers of vulnerability analysis: physical, social, and economic. Physical vulnerability assesses buildings or areas based on the extent of damage from disasters, indicating high, medium, and low risk. It also mentions social vulnerability, identifying which communities bear the brunt of these disasters. Understanding these vulnerabilities helps prioritize interventions and funding.

Imagine watching a game and noticing different players getting hurt in various ways. Some might get strong tackles (high damage), others might slip a bit (medium), and a few appear untouched (low). Identifying who is affected the most helps the coach decide whom to support first, just like identifying vulnerable areas helps planners decide where to focus resources.

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