Social Acceptance of a Digital Disaster Risk Reduction Intervention in Malaysia: An Integrated UTAUT2–Risk Communication Model in a Multi-Hazard Urban Community

This dataset contains survey responses from 400 residents of a high-risk urban community in Penang, Malaysia, collected to examine the determinants of social acceptance of a digital Disaster Risk Reduction (DRR) mobile application. The study integrates constructs from the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) with risk communication and disaster perception variables. The dataset includes measures of technological perceptions: performance expectancy, effort expectancy, social influence, and facilitating conditions—as well as risk-related factors such as risk perception, perceived effectiveness of risk communication, institutional trust, and prior hazard experience. The primary outcome variable is pre-adoption behavioral intention, operationalized as a binary variable indicating the likelihood of using a DRR mobile application. Data were collected a structured questionnaire administered through a cross-sectional survey design. All items were measured using validated Likert-scale instruments adapted to the disaster risk context. Demographic variables (e.g., age, gender, education level, and income) are also included to support subgroup analysis.The dataset is suitable for statistical modeling, including logistic regression, classification analysis, and comparative studies on technology adoption in disaster risk management. It enables replication of the study’s findings, including the estimation of odds ratios and model performance metrics such as McFadden’s R² and ROC-AUC.本数据集收录马来西亚槟城某高风险城市社区400名居民的调研问卷数据，旨在探究数字化灾害风险减灾（Disaster Risk Reduction, DRR）移动应用的社会接受度影响因素。本研究将统一技术接受与使用理论2（Unified Theory of Acceptance and Use of Technology 2, UTAUT2）的构念与风险沟通、灾害感知变量相结合。数据集涵盖技术感知维度的多项测量指标：绩效期望、努力期望、社会影响与便利条件，同时包含风险感知、风险沟通感知有效性、制度信任及既往灾害经历等风险相关因素。核心因变量为采纳前行为意向，以二分类变量形式进行操作化定义，用于表征使用DRR移动应用的可能性。本研究采用横断面调研设计，通过结构化问卷完成数据采集。所有测量项均采用经过验证的李克特量表（Likert-scale）工具，并适配灾害风险场景进行改编。数据集同时纳入年龄、性别、教育水平、收入等人口统计学变量，以支持亚组分析。本数据集适用于各类统计建模工作，包括逻辑回归、分类分析以及灾害风险管理领域技术采纳相关的比较研究。该数据集可支持研究结果的复现，可用于计算优势比（odds ratios）以及麦克法登R²（McFadden’s R²）、ROC-AUC等模型性能指标。