A cyberGIS-enabled multi-criteria spatial decision support system: A case study on flood emergency management

Figures & data

Figure 1. Frequency of keywords in tweets during the flooding events.

Figure 2. Relationship between the number of Tweets from the @ATXflood channel and the number of flood events in Travis County.

Figure 3. An overview of cyberGIS-enabled MCSDSS.

Table 1. Simulated weights for the evaluation criteria in perspectives of two decision goals.

Evaluation Criteria	Decision goal 1	Decision goal 2
Total population	74	83
People over 75 years old	87	70
People without health insurance	60	82
People in poverty	63	83
People in a minority group	60	68
Area median house value	47	66
Population education attainment	41	56
Number of children	93	79
People without a vehicle	78	58

Figure 4. The cyberGIS-enabled MCSDSS user interface.

Figure 5. Vulnerability maps based on two decision-making models (WSM and TOPSIS).

Table 2. Sensitivity analysis results.

Criteria	Objective 1 (Rank of Criticality Degrees of the Criteria)		Objective 2 (Rank of Criticality Degrees of the Criteria)
	TOPSIS	WSM	TOPSIS	WSM
Total population	3	5	2	5
People over 75 years old	2	4	5	6
People without health insurance	7	3	6	1
People in poverty	5	6	3	4
People in a minority group	6	7	4	7
Area median house value	9	9	7	9
Population education attainment	8	8	9	8
Number of children	4	1	8	2
People without a vehicle	1	2	1	3

Table 3. Model validation results.

Blocks	WSM Model		TOPSIS Model
	Objective 1	Objective 2	Objective 1	Objective 2
1	0.1	0	0	0.2
2	0.8	0.8	0.8	0.8
3	0.2	0.1	0.2	0.1
4	0.4	0.5	0.4	0.5
5	0.6	0	0.5	0.1
6	0.2	0.3	0.4	0.4
7	0.8	0.1	0.9	0
8	0.3	0	0.4	0.1
9	0.4	0.1	0.4	0.1
10	0.6	0.5	0.4	0.3
Average Error	0.44 (44%)	0.24 (24%)	0.48 (48%)	0.26 (26%)