Wilson Rangga, Anthony Jiram and Irwan, Sanjaya and Amanda Sophie, Junim and Azizah, Ismail and Fitriyah, Razali (2025) A Cross-Sectional Survey Dataset on Infrastructure Resilience and Community Satisfaction in Coastal Reclamation Regions of Kota Kinabalu. [Document]
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Abstract
This dataset presents cross-sectional survey data collected for a study on infrastructure resilience and community satisfaction in the coastal reclamation regions of Kota Kinabalu, Malaysia. The data were obtained from 237 respondents using a structured questionnaire designed to assess residents’ perceptions of resilient infrastructure and satisfaction with the built environment. Key constructs captured in the dataset include infrastructure networks, the ecological environment and land use, transportation systems, urban disaster reduction and building resilience, energy provision, and overall community satisfaction. Data analysis was performed using SPSS Version 26 for descriptive statistics and Partial Least Squares Structural Equation Modeling. The dataset confirms the reliability and validity of the proposed measurement model and supports empirical analysis of the relationship between infrastructure resilience and community satisfaction. It provides valuable empirical evidence to inform sustainable infrastructure planning and policy development in reclaimed urban coastal environments.
| Item Type: | Document |
|---|---|
| Uncontrolled Keywords: | cross-sectional survey data, infrastructure resilience and community satisfaction, Kota Kinabalu. |
| Subjects: | H Social Sciences > H Social Sciences (General) H Social Sciences > HD Industries. Land use. Labor Q Science > QA Mathematics T Technology > TH Building construction |
| Divisions: | Academic Faculties, Institutes and Centres > Faculty of Built Environment Faculties, Institutes, Centres > Faculty of Built Environment Academic Faculties, Institutes and Centres > Faculty of Built Environment |
| Depositing User: | Anthony Jiram |
| Date Deposited: | 24 Nov 2025 02:48 |
| Last Modified: | 24 Nov 2025 02:48 |
| URI: | http://ir.unimas.my/id/eprint/50503 |
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