ASSESSING THE FACTORS CONTRIBUTING TO RESPONSE TIME OF THE BUREAU OF FIRE PROTECTION IN DAVAO CITY

Authors

  • Louise Matthew C. Anfone Student, College of Criminal Justice Education, University of Mindanao, Bolton Street, Davao City, 8000, Philippines
  • Rechel P. San Juan Student, College of Criminal Justice Education, University of Mindanao, Bolton Street, Davao City, 8000, Philippines
  • Care Buagas Student, College of Criminal Justice Education, University of Mindanao, Bolton Street, Davao City, 8000, Philippines
  • Exequiel R. Gono Jr. Faculty Member, College of Criminal Justice Education, University of Mindanao, Bolton Street, Davao City, 8000, Philippines

DOI:

https://doi.org/10.46827/ejes.v12i11.6300

Keywords:

fire response time, Bureau of Fire Protection, emergency preparedness, firefighter training, criminology

Abstract

Rapid emergency response is critical in mitigating fire-related disasters, reducing property damage, and saving lives. Factors influencing the Bureau of Fire Protection (BFP) 's response time concerning Davao City were studied. More specifically, training and preparedness were analyzed with respect to improving emergency response efficiency. The study employed a quantitative correlational research design, where data from the 239 BFP officers were gathered using validated questionnaires to assess their levels of disaster knowledge, skills, and response efficiency. The statistical analyses of Pearson correlation and multiple regression showed a strong positive relation between training, preparedness, and response time. Firefighters with higher levels of disaster knowledge and skills were found to respond faster. Besides, the study identified some external factors contributing to delayed responses, including road conditions, equipment reliability, and public cooperation. Results further revealed that disaster knowledge and disaster skills correlated strongly with response efficiency, while training and preparedness had a moderate yet significant correlation. The regression model explained 43.5% of the variance in response time, suggesting that improving firefighters' technical and contextual knowledge could improve emergency response performance. Consequently, the study recommends periodic simulation-based training, upgrading firefighting equipment, and enhancing the public awareness campaign to improve response efficiency and reduce damage caused by fires in Davao City.


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Author Biography

  • Exequiel R. Gono Jr., Faculty Member, College of Criminal Justice Education, University of Mindanao, Bolton Street, Davao City, 8000, Philippines

    Exequiel R. Gono Jr. is a faculty member at the College of Teacher Education of University of Mindanao, Matina Campus. He is a member of the Philippine Statistical Association, the Philippine Association of Researchers and Statistical Software Users, the Philippine Association for Teacher Education, the Mathematics Teacher Education, and the Philippine eLearning Society (Member). His research interests are Mathematics Education, Assessment of Learning, Mathematical Modeling, and Applied Statistics.

References

Adams, R. M., Eisenman, D. P., & Glik, D. (2019). Community advantage and individual self-efficacy promote disaster preparedness: A multilevel model among persons with disabilities. International Journal of Environmental Research and Public Health, 16(15), 2779. https://doi.org/10.3390/ijerph16152779

Anderson, J. K., & Miller, L. M. (2018). The effects of structured training programs on decision-making, muscle memory, and situational awareness. Journal of Applied Cognitive Psychology, 32(4), 789-805.

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T

Aminigbo, L. M. O., & Omogunloye, O. G. (2022). Developing Geospatial Database for Emergency Response: A case study of fire, health and security facilities in Rivers State. International Journal of Information Systems and Informatics, 3(2), 81–106. https://doi.org/10.47747/ijisi.v3i2.712

Armitage, C. J., & Conner, M. (2009). Distinguishing perceptions of control from self-efficacy: Predicting consumption of a low-fat diet using the theory of planned behavior. Journal of Applied Social Psychology, 39(1), 72–90. https://doi.org/10.1111/j.1559-1816.1999.tb01375.x

Arcipowski, E. K. (2020). A Survey Assessment of Pediatric Nurses’ Disaster Preparedness. Doctor of Philosophy, University of Tennessee, Knoxville. Retrieved from https://trace.tennessee.edu/utk_graddiss/5928

Bland, M. (2015). Estimating Mean and Standard Deviation from the Sample Size, Three Quartiles, Minimum, and Maximum. International Journal of Statistics in Medical Research, 4, 57-64. http://dx.doi.org/10.6000/1929-6029.2015.04.01.6

Bond, A. E., & Tichy, M. (2007). The disaster preparedness evaluation tool. Brigham Young University.

Buffington, T., & Ezekoye, O. A. (2019). Statistical analysis of fire department response times and effects on fire outcomes in the United States. Fire Technology, 55(6), 2187-2213. https://doi.org/10.1007/s10694-019-00870-4

Davis, I. (2019). Reflections on 40 years of Disasters, 1977–2017. Disasters, 43(S1). S61– 82. https://doi.org/10.1111/disa.12328

Empinado, G., Ledesma, R., Dano, R., Figer, R., Borbon, D., Goc-Ong, R., Paulino, V., & Pioquinto, V. (2023). Heroes in the flames: Unveiling the valiant experiences of BFP personnel responding to fire incidents. International Journal of Recent Advances in Multidisciplinary Research 10(12). Retrieved from https://ijramr.com/sites/default/files/issues-pdf/4794.pdf

Faryabi, R., Sharifabad, M. A., Sardooei, Z. A., Daneshi, S., Hushmandi, K., & Raei, M. (2021). Safety behavior predictors related to the food safety of greenhouse products among the greenhouse owners based on protection motivation theory. Open Public Health Journal, 14, 250–256. https://doi.org/10.2174/1874944502114010250

Haque, M. S. (2019). Assimilating urban rainwater harvesting as a fire extinguisher: A study in Dhaka city. Imizamo Yethu informal settlement conflagration in South Africa. International journal of disaster risk reduction, 39. Retrieved from https://www.researchgate.net/publication/337547386_Assimilating_urban_rainwater_harvesting_as_fire_extinguisher_A_study_in_Dhaka_city

He, Q., Ding, P., & Yang, Y. (2025). Characterization and evaluation of fire response performance in Shanghai based on fire department statistics. Fire Technology, 61, 275–293. https://doi.org/10.1007/s10694-024-01604-x

Integrated Research on Disaster Risk. (2022). The state of knowledge on disaster risk. ReliefWeb. Retrieved from https://reliefweb.int/report/world/state-knowledge-disaster-risk

Jolly, W., Freeborn, P., Page, W., & Butler, B. (2019). Severe Fire Danger Index: A forecastable metric to inform firefighter and community wildfire risk management. Fire, 2(3), 47. https://doi.org/10.3390/fire2030047

Kozhevnikov, M. L., & Rudakova, O. A. (2022). Mathematical simulation of simultaneous engagement of fire trucks during urban emergency responses. Fire and Emergencies Prevention Elimination, 3, 73–81. https://doi.org/10.25257/FE.2022.3.73-81

Kahanji, C., Walls, R. S., & Cicione, A. (2019). Fire spread analysis for the 2017 Imizamo Yethu informal settlement conflagration in South Africa. International Journal of Disaster Risk Reduction, 39, Article 101146. https://doi.org/10.1016/j.ijdrr.2019.101146

Iksan, M. G. (2023). Effectiveness of the 7-Minute Response Time Program for Free Firefighting Service (Roti 7 Lapis) in Surabaya City, East Java Province. Indonesian Public Administration Institute (IPDN).

Lagata, L. S., Andujar, C. J., Lantaco, E. L. S., Manuales, K. C. A., Allanic, E. A., & Cuevas, J. F., Jr. (2022). Challenges encountered and insights of the Bureau of Fire Protection personnel towards responding to fire incidents. Mediterranean Journal of Basic and Applied Sciences, 06(02), 103–117. https://doi.org/10.46382/mjbas.2022.6211

Laoli, E. S., Zebua, O., & Harefa, P. (2022). Strategies of the Regional Disaster Management Agency in Reducing Fire Disaster Risks in Nias Regency. MAMEN Journal of Management, 1(3), 439-448. Retrieved from https://doi.org/10.55123/mamen.v1i3.881

Li, W.-C., Tseng, J.-M., & Huang, H.-S. (2022). Effectiveness of advanced fire prevention and emergency response training at nursing homes. International Journal of Environmental Research and Public Health. 19(20). https://doi.org/10.3390/ijerph192013185

Iliyasu, R., & Etikan, I. (2021). Comparison of quota sampling and stratified random sampling. Biometrics & Biostatistics International 10(1). https://doi.org/10.15406/bbij.2021.10.00326

McCombes Sh, (2019). Correlational Research. Retrieved from https://www.scribbr.com/methodology/correlational-research/7/

Monteiro, M., Ferraz, A. I. B., & Rodrigues, F. M. P. (2021). Assessment of knowledge and self-efficacy before and after teaching basic life support to school children. Revista Paulista de Pediatria, 39. https://doi.org/10.1590/1984-0462/2021/39/2019143

Moore-Merrell, L. (2023). Understanding and measuring fire department response times. Lexipol. Retrieved from https://www.lexipol.com/resources/blog/understanding-and-measuring-fire-department-response-times/?fwp

Nguyen A. & Patel, N. (2019). An Investigation of the effect of mindfulness training on immunological biomarkers and memory recall. Retrieved from https://openrepository.aut.ac.nz/items/2ba4df75-bb77-4847-aba2-5c119de412b0

Philippine Information Agency (PIA). (2019). March is Fire Prevention Month. Retrieved from https://pia.gov.ph/features/articles/1019379

Petersen, J.J. (2019). Analyzing the Effectiveness of the On-the-Job Firefighter Training Model Within the Murray City Fire Department. U.S. Fire Administration. https://apps.usfa.fema.gov/pdf/efop/efo242699.pdf

Qualtrics. (2024). How to use stratified random sampling to your advantage. https://www.qualtrics.com/en-au/experience-management/research/stratified-random sampling/

Rogers R. W. (1975). A protection motivation theory of fear appeals and attitude change. The Journal of Psychology 91:93−114. https://doi.org/10.1080/00223980.1975.9915803

Rusu, M. (2020). Psychological Optimization for Adolescents with Physical Motor Deficiency- A Model of Intervention. Psychology, 11(01), p. 30. Retrieved from https://scholar.google.com/citations?view_op=view_citation&hl=ro&user=UvhAiCkAAAAJ&citation_for_view=UvhAiCkAAAAJ:kNdYIx-mwKoC

Santos, R., & Dela Cruz, M. (2022). Evaluating Response Time Efficiency of Bureau of Fire Protection Personnel in Urban Areas. Journal of Fire Safety Management, 15(3), 45-58.

Salmons, J. (2023). Quantitative research with non-experimental designs. Sage Research Methods Community. Retrieved from https://researchmethodscommunity.sagepub.com/blog/quantitative-research-with-non-experimental-designs

Sarker, M., & Ghosh, S. (2021). Response time analysis of fire service in Gazipur Industrial Area: An application of GIS. In 5th International Conference on Advances in Civil Engineering (ICACE 2020). Retrieved from https://www.researchgate.net/profile/Shimul-Ghosh/publication/351365298_RESPONSE_TIME_ANALYSIS_OF_FIRE_SERVICE_IN_GAZIPUR_INDUSTRIAL_AREA_AN_APPLICATION_OF_GIS/links/60942bd7299bf1ad8d816129/RESPONSE-TIME-ANALYSIS-OF-FIRE-SERVICE-IN-GAZIPUR-INDUSTRIAL-AREA-AN-APPLICATION-OF-GIS.pdf

Smith, J., & Johnson, A. (2020). The Impact of Training on Firefighter Response Times: A Quantitative Study. Journal of Emergency Management, 34(2), 123-135.

Shirvani Dastgerdi, A., & Kheyroddin, R. (2022). Policy recommendations for integrating resilience into the management of cultural landscapes. Sustainability, 14(14), 8500.

Spell, R. M. (2021). Firefighter safety: Challenges and opportunities. IFSTA. Retrieved from https://doi.org/10.3390/su14148500

Thomas, L. (2020). An introduction to simple random sampling. Journal, 10(1), 24–27. https://doi.org/10.15406/bbij.2021.10.00326

Thompson, A. B., Johnson, C. D., Smith, E. F., & Brown, G. H. (2021). The impact of training on response times of first responders. Journal of Emergency Response, 15(2), 45-62.

Topolsky, D., Topolskaya, I., Plaksina, I., Shaburov, P., Yumagulov, N., Fedorov, D., & Zvereva, E. (2022). Development of a mobile robot for mine exploration. Processes, 10(5), 865. https://doi.org/10.3390/pr10050865

Turney, S. (2024). Pearson correlation coefficient (r) | Guide & examples. Scribbr. Retrieved from https://www.scribbr.com/statistics/pearson-correlation-coefficient/

U.S. Fire Administration. (2008). Emergency Fire Officer Program (EFO)study. U.S. Department of Homeland Security, Federal Emergency Management Agency. Retrieved from https://apps.usfa.fema.gov/pdf/efop/efo45062.pdf

United Nations Office for Disaster Risk Reduction (UNDRR). (2020). Words into action guidelines: Disaster risk reduction in the 2030 agenda for sustainable development. UNDRR. Retrieved from https://www.undrr.org/media/43008/download?startDownload=20250925

Wang, J.-J., & Tsai, N.-Y. (2022). Factors affecting elementary and junior high school teachers’ behavioral intentions to school disaster preparedness based on the theory of planned behavior. International Journal of Disaster Risk Reduction, 69. https://doi.org/10.1016/j.ijdrr.2021.102757

Wang, L., Chen, R., & Zhou, X. (2019). Evaluating the Impact of Response Time on Emergency Medical Service Outcomes. International Journal of Emergency Services, 8(1), 65-78. https://doi.org/10.1108/IJES-01-2018-0005

Waring, S., Alison, L., Shortland, N., & Long, J. (2020). The role of information sharing on decision delay during multiteam disaster response. Cognition, Technology & Work, 22, 263-279. https://doi.org/10.1007/s10111-019-00570-7

Williams, L., & Brown, R. (2021). Effectiveness of Simulation-Based Training in Firefighter Preparedness. Fire Safety Science, 29(3), 89-102.

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Published

2025-09-30

Issue

Vol. 12 No. 11 (2025)

Section

Articles

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