User Acceptance of Flood Risk Visualization and Prediction Information System

Abstract

Flooding is widely considered the most disastrous type of natural disaster. Being the hotbed of such calamity, the densely populated communities in the urban capital are vulnerable to various flood risks. While most studies tend to focus on developing flood information systems, user acceptance of such systems remains a challenging part particularly in a developing country like the Philippines. This study aims to examine the level of user acceptance on flood information systems using the technology acceptance model through an online survey conducted with the users of the system. Results show that the system is positively accepted by the users. Of all the observed variables, perceived ease of use, perceived usefulness, intention to use, flood experience, information quality shows strong positive correlation whereas actual use has a very weak positive correlation. Likewise, results show that intention to use, internet reliability, perceived usefulness, perceived ease of use, and actual use have significant correlation. Future studies and implications are presented.