Recently, many researches report that the social and cultural conditions have a certain degree of influence on the disaster. As a result, disaster researches of social and human dimensions get more attention. Especially, vulnerability research is becoming an important issue. Vulnerability refers to the potential conditions of society, and the higher vulnerability of disaster also represents that disaster would cause greater losses. So, a study of vulnerability to disaster risk assessment can be a very important part. Generally, the vulnerability can be classified into two categories. One is social vulnerability, and the other is physical vulnerability. In this study, we focus on the social vulnerability, which means under a variety of social conditions, how those conditions affect the society when the hazards happened. Through the selected indicators, with the collection of statistical data, we can calculate the vulnerability scores effectively. In this paper, the Hsinchu City is chose as study area. Based on the fuzzy Delphi method and analytic hierarchy process (AHP), the indicators are selected and weighted, respectively. In addition, through the statistical data from different government agents and questionnaire survey for citizens, the social vulnerability for flooding disaster in the Hsinchu City is calculated. Results show that the scores of social vulnerability in the Northern District is highest (0.4459) when the three dimensions, including sensitivity, preventing disaster capacity, and adaptive capacity, summed together. The Siangshan District is following (0.3346), and the Eastern District is lowest (0.3261).
- Natural disaster
- Content analysis
- Temporal-spatial distribution