Smart Application for Emergency Response (S.A.F.E.R.): An Android Mobile Application for Real-Time Safety and Location Tracking in Manila
Authors
Angeline Kayle B. Culi
Philippine Christian University – Manila Campus (PH)
Cathlyn G. Labitoria
Philippine Christian University – Manila Campus (PH)
Kirk Louise F. Tusing
Philippine Christian University – Manila Campus (PH)
Herdy R. Dimanlig
Philippine Christian University – Manila Campus (PH)
Rachel J. Vergara
Philippine Christian University – Manila Campus (PH)
Article Information
DOI: 10.51583/IJLTEMAS.2026.150100054
Subject Category: Mobile Application Development
Volume/Issue: 15/1 | Page No: 611-617
Publication Timeline
Submitted: 2026-02-06
Published: 2026-02-06
Abstract
The increasing incidence of urban fire emergencies in Manila City emphasizes the need for efficient, technology-driven response systems capable of improving situational awareness and communication. Conventional fire reporting methods, which rely primarily on manual calls and delayed verification, often result in slower response times and limited coordination among emergency responders. This study aimed to develop and evaluate the Smart Application for Emergency Response (S.A.F.E.R.), an Android-based mobile application designed to enhance fire emergency preparedness and response through real-time location tracking, rapid incident reporting, safety guidance alerts, direct communication channels, and community resilience tools. A descriptive research design was employed, supported by an agile iterative development methodology. The system was evaluated using the Mobile App Rating Scale (MARS) for user-based assessment and the ISO/IEC 25010 software quality model for technical evaluation. A total of 56 respondents participated in the study, comprising 50 Manila City residents and 6 IT/subject matter experts. Descriptive statistical techniques, including mean and standard deviation, were used to analyze the collected data. Evaluation results showed that
Keywords
Emergency Response, Mobile Application, Fire Safety, Community Resilience, Real-Time Tracking, Usability Evaluation
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References
1. A B M Moniruzzaman. (2025). Agile Iterative Methodology. Iterative and incremental agile [Google Scholar] [Crossref]
2. development process. [Google Scholar] [Crossref]
3. Abdel-Basset, M., Mohamed, R., Elhoseny, M., & Chang, V. (2020). Evaluation framework for smart disaster response systems in uncertainty environment. Mechanical Systems and Signal Processing, 145. [Google Scholar] [Crossref]
4. Akpalu, A. L. A. (2022). LAMBER: An emergency response system for ambulance requests and first aid guide (Applied Project, pp. 1-6). Ashesi University. [Google Scholar] [Crossref]
5. Astarita, V., Giofrè, V. P., Guido, G., Stefano, G., & Vitale, A. (2020). Mobile computing for disaster emergency management: Empirical requirements analysis for a cooperative crowdsourced system. Smart Cities, 31-47. [Google Scholar] [Crossref]
6. Brandy Klug. (2023). An Overview of the Mobile App Rating Scale (MARS) in Health Care Application Assessment. Journal of Hospital Librarianship. [Google Scholar] [Crossref]
7. Christina Sol. (2024). Mastering the 5-Point Likert Scale (Matrix) for Effective Surveys. 5-Point Likert Scale. [Google Scholar] [Crossref]
8. Cris Norman P. Olipas (2019). A Disaster Preparedness Mobile Application. International Journal of Engineering Applied Sciences and Technology, 4(7), 29–34. [Google Scholar] [Crossref]
9. De Leon, A. P., & Miranda, J. P. P. (2022). A spatiotemporal analysis of fire incidents in Pampanga province of the Philippines: Inputs for fire prevention programs. Journal of Spatial and Environmental Analysis, 13(10), 1–12. [Google Scholar] [Crossref]
10. Fabito, B., Balahadia, F., & Cabatlao, J. D. N. (2016). AppLERT: A mobile application for incident and disaster notification for Metro Manila. [Google Scholar] [Crossref]
11. Fernando, M. C. G., Solomo, M. V. S., & Lagman, A. C. (2020). iHanda: A Mobile Application for Disaster Preparedness. International Journal of Software Science and Technology, 20(S2), 25–34. [Google Scholar] [Crossref]
12. ISO. (2023). ISO/IEC 25010. Systems and software engineering — Systems and software Quality Requirements and Evaluation (SQuaRE) — Product quality model. [Google Scholar] [Crossref]
13. Kirci, P., Arslan, D., & Dincer, S. F. (2023). A communication, management, and tracking mobile application for enhancing earthquake preparedness. Disaster and Emergency Management: Prediction, Evacuation and Recovery, 15(2), 970. [Google Scholar] [Crossref]
14. Kodali, R. K., & Mahesh, K. S. (2017). Smart emergency response system. TENCON 2017 - IEEE Region 10 Conference, 712–717. [Google Scholar] [Crossref]
15. Montefalcon, M. D., Padilla, J. R., & Ibanez, M. (2021). IRespondPH: A mobile platform for real-time disaster reporting and information dissemination in the Philippines. [Google Scholar] [Crossref]
16. Rey, W., Adalin, S. A., Calanog, K. R., & Jimenez, G. W. (2024). Mamamayan: A Mobile Community-based Emergency Reporting and Notification System for Makati, Philippines. ACM Digital Library. [Google Scholar] [Crossref]
17. Sciullo, L., Fossemo, F., Trotta, A., & Di Felice, M. (2018). LOCATE: A LoRa-based mobile emergency management system. IEEE GLOBECOM, 1–6. [Google Scholar] [Crossref]
18. Toledo, M. P., Y., J. C., Sarvida, B. K. S., & Guadana, R. R. H. (2021). SakunaApp: A framework for mobile application development in disaster awareness, preparedness, and response. [Google Scholar] [Crossref]
19. Ayesha, A., & Chakravarthi, K. (2023). Smart ambulances for IoT-based accident detection, tracking, and response. Journal of Computer Science, 19(6), 677–685. [Google Scholar] [Crossref]
20. Dominguez, R., & Ormilla, R. C. G. (2022). Disaster Risk Reduction Management Implementation in Public Elementary Schools of the Philippines. International Journal of Disaster Risk Management, 4(2), 1–1 [Google Scholar] [Crossref]
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