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As discussed on Day 147, now we are investing the social vulnerability index of the district, sub-district, and village levels in Ayutthaya. To calculate the social vulnerability index, exposure, susceptibility, and capacity data are examined. Especially, the district level of the index is figured out as shown in Figure 1 using principal component analysis.

Figure 1: Social Vulnerability Index Industrial Complex Area(SVI-ICA) Ref. 1)

The district level of the social vulnerability index can be figured out by statistical data. However, sub-district and village level data should be difficult to collect such data. Based on the fact, the capacity assessment is firstly conducted to the target four sub-districts as indicated in Figure 2. The capacity assessment method was based on the FDPI project experience.

Figure 2: Four Sub-District Capacity Assessment 

The findings say the western side and eastern side have a big gap as you can see in Figure 2.

Figure 3 indicates the education and training part is much different among the four target sub-district. This means we can monitor and evaluate their progress after we provide education, training, system, or so on there.

Figure 3: Capacity Assessment Analyses

The detailed examination will be explained later.

*Exposure, Susceptibility, and Capacity data list will be shown later. The theoretical frame is base on the PAR model. The below book can be referred.

At Risk: Natural Hazards, People’s Vulnerability and Disasters

**This is the baseline research for the SATREPS project.

Ref. 1) Tadashi Nakasu, Ruttiya Bula-or, Sutee Anatsuksomsti, Korrakot Positlimpakul (2019)Social Vulnerability Changes and Sustainable Development in the Flooded Industrial Complex Area The 2nd multidisciplinary International Conference on Humanities (ICH 2019) “Innovation and Transformation in Humanities for a Sustainable Tomorrow.” 30-31 October 2019, School of Humanities, Universiti Sains Malaysia, Penang, Malaysia

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