Flood risk assessment using the CV-TOPSIS method for the Belt and Road Initiative: an empirical study of Southeast Asia

Figures & data

Figure 1. The map of Southeast Asia.

Figure 2. The bilateral investment between China and BRI countries vs Southeast Asia.

Table 1. The disasters in Southeast Asia between 1900 and October 2019.

	Occurrence	Total deaths	Total affected	Total damage (in 1000 USD)
total disasters	1804	513,128	509,510,165	143,494,456.9
climate-related disasters	1408	257,720	487,987,623	125,583,472.9
flood	660	24,393	164,022,945	65,184,893

Data source: compiled from the global database at http://emdat.be.

Table 2. The measurement for flood risk level.

Score	Rank
0.1 or less	Extremely low
0.1001–0.15	Low
0.1501–0.3	Medium
0.3001–0.45	High
0.4501 or more	Extremely high

Figure 3. Spatial distribution of indicators among different countries.

Table 3. The weights of flood risk indicators using CV.

Dimension	Indicator	Weight for indicator	Weight for dimension
Hazard dimension	AAP	0.0301	0.1521
	Max1day	0.0389
	AP	0.0831
Exposure dimension	Population	0.1157	0.3892
	Land area	0.1167
	GDP	0.1568
Vulnerability dimension	Ages 0–14	0.0237	0.4587
	Ages 65+	0.0320
	PLB5	0.1034
	RP	0.0423
	LAB5	0.1079
	Farmland	0.0739
	AVA	0.0755

Figure 4. The risk map of the study area during the random years.