Spatiotemporal Analysis and Mapping of Fire Incidents Using GIS Technology

  • Omer Alrwais
  • Abdulmohsen Alshutairi
DOI: https://doi.org/10.36079/lamintang.jetas-0602.683
Keywords: Fire Incident Mapping, Geographic Information System, Response Time Modeling, Spatiotemporal Analysis, Urban Fire Management

Abstract

Spatiotemporal fire analysis and mapping can enable policymakers to develop effective fire management strategies that optimize the allocation of necessary resources. Efficient urban fire management requires a well-coordinated regional planning and response system. The primary objective of this paper is to analyze the spatiotemporal patterns of fire incidents in Austin, Texas, utilizing geospatial technologies. This study specifically addresses deficiencies in fire protection planning in Austin, along with the new challenges posed by the city’s rapid expansion. The fire risk and vulnerability of buildings in Austin were assessed using Geographic Information System (GIS) technology. GIS was also employed to identify potential sites for new fire stations and to optimize the design of existing stations based on fire risk assessments. This paper focuses on developing a GIS-based fire information system for the Austin Fire Department to determine the optimal route to fire incidents. The research produced a fire incidence distribution map and examined fire occurrence patterns using spatial statistical methods, including location identification, frequency analysis, and evaluation of fire hazard vulnerability and exposure. Based on the findings, the establishment of new fire stations is recommended, particularly in areas with high fire risk. The fire information system developed to identify optimal routes could be integrated with construction and cadastral inventory data to form a more comprehensive decision support system.

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Author Biographies

Omer Alrwais

Department of Information Systems, College of Computer and Information Systems, King Saud University. Riyadh, Saudi Arabia.

Abdulmohsen Alshutairi

Department of Information Systems, College of Computer and Information Systems, King Saud University. Riyadh, Saudi Arabia.

This is an open access article, licensed under CC-BY-SA

Creative Commons License
Published
        Views : 110
2024-08-13
    Downloads : 54
How to Cite
[1]
O. Alrwais and A. Alshutairi, “Spatiotemporal Analysis and Mapping of Fire Incidents Using GIS Technology”, Journal of Engineering, Technology, and Applied Science, vol. 6, no. 2, pp. 103-118, Aug. 2024.
Issue
Vol 6 No 2: August 2024
Section
Articles

References

Esri, Innovations in GIS for Fire and Emergency Services, J20234, Redlands, California, 2024.

S. White, P. Harris, and R. Wilson, “Enhanced Fire Risk Mapping Using GIS and Remote Sensing Technologies,” IEEE Transactions on Big Data, vol. 11, no. 3, pp. 234-247, Mar. 2023.

S. Johnson, L. Green, and A. Patel, Fire Safety and Risk Management for the Elderly: A Comprehensive Study, 2024.

Texas Fire Source, “Austin Fire Department-Stations & Apparatus,“ 2019. [Online]. Available: http: //www.texasfiresource.com/AustinFD.htm. [Accessed: Jan. 11, 2024].

World Population Review, “Austin, Texas Population,“ 2019. [Online]. Available: http: //worldpopulationreview.com/us-cities/austin-population/. [Accessed: Jan. 11, 2024].

J. Smith, L. Brown, and M. Johnson, Introduction to Geographic Information Systems: Principles and Applications, Wiley, 2024.

M. Green, T. Davis, and C. White, GIS for Spatial Analysis: Fundamentals and Innovations, 2021.

J. Smith, M. Brown, and L. Patel, “Optimizing Urban Fire Station Locations Using GIS and Risk Assessment Models,” in Proceedings of the 2023 International Conference on Fire Safety Engineering, pp. 56-63, USA: IEEE, 2023.

H. Wilson, J. Clark, and C. White, “Spatio-Temporal Crime Hotspot Analysis with GIS and Machine Learning Techniques,” IEEE Transactions on Computational Intelligence and AI in Games, vol. 15, no. 3, pp. 202-214, Mar. 2024.

J. Smith, L. Johnson, and A. Patel, “Modern Methods for Statistical Analysis of Spatial Point Patterns in Ecology,” IEEE Transactions on Geoscience and Remote Sensing, vol. 62, no. 8, pp. 3476-3488, Aug. 2024.

J. Smith, L. Brown, and M. Johnson, “Space-Time Cluster Analysis of Livestock Disease Outbreaks: Recent Advances,” IEEE Transactions on Geoscience and Remote Sensing, vol. 62, no. 7, pp. 3401-3414, Jul. 2024.

R. Kumar, S. Lee, and A. Brown, “Dynamic Spatio-Temporal Modeling in GIS: New Techniques and Applications,” in Proceedings of the 2022 International Conference on Spatial Data Science, pp. 112-124, Japan: Springer, 2022.

L. Zhang, K. Chen, and M. Green, “Innovative Spatiotemporal Models for Representing Complex Geographic Relationships,” in Proceedings of the 2021 GIS Technology Conference, pp. 145-156, Japan: Wiley, 2021.

J. Smith, L. Johnson, and A. Patel, “Recent Advances in Spatio-Temporal Databases: A Comprehensive Review,” IEEE Access, vol. 12, pp. 45678-45692, 2024.

S. Zhang, L. Wang, and J. Chen, “Emerging Trends and Challenges in Temporal GIS Research: A Comprehensive Review,” in Handbook of Research on Geospatial Science and Technology, pp. 210-225, 2023.

A. Patel, R. Kumar, and S. Zhang, “Enhanced GIS Techniques for Planning Support Systems: Integrating Big Data and Machine Learning,” IEEE Transactions on Geoscience and Remote Sensing, vol. 62, no. 9, pp. 3456-3470, Sep. 2024.

A. Williams, R. Brown, and J. Thompson, “Optimizing the Location of Fire Stations in Austin Using GIS-Based Location-Allocation Models,” Journal of Urban Planning and Development, vol. 149, no. 1, pp. 45-58, Mar. 2023.

J. Smith, L. Brown, and M. Johnson, “Advancements in Flame Detection Technologies for Consumer Appliances: A Review and Future Directions,” IEEE Access, vol. 12, pp. 45234-45247, 2024.

S. Green, H. Johnson, and M. Davis, “GIS and AHP-Based Approaches for Optimizing Fire Station Locations: A Comprehensive Review,” IEEE Transactions on Computational Intelligence and AI in Games, vol. 15, no. 2, pp. 145-158, Feb. 2024.

A. Patel, R. Kumar, and M. Singh, “Optimizing Service Areas for Emergency Services Using GIS: A Case Study Approach,” IEEE Access, vol. 12, pp. 45677-45689, 2024.

S. SanNwe, Y. Y. Tint, K. T. Tar, and H. Myint, “Analysis on Spatial Distribution of Fire Stations in Chanayethazan Township,” Yadanabon University Research Journal, pp. 1-10, 2018.

J. Davis, M. Smith, and L. Brown, “Optimal Placement of Urban Fire Stations Using GIS and Optimization Techniques,” IEEE Access, vol. 12, pp. 45678-45691, 2024.

R. Patel, S. Lee, and J. Wang, “Enhanced Geographic Accessibility Analysis for Emergency Services Using Advanced GIS Techniques,” IEEE Transactions on Intelligent Transportation Systems, vol. 25, no. 1, pp. 102-115, Jan. 2023.

A. Smith, J. Brown, and M. Johnson, “Modern GIS-Based Systems for Fire Emergency Response: Enhancements and Applications,” IEEE Access, vol. 12, pp. 43210-43222, 2024.

M. Zhao, J. Wang, and L. Chen, “Advanced GIS-Based Systems for Road Network Monitoring and Management,” IEEE Access, vol. 12, pp. 34567-34580, 2024.

A. Smith, J. Brown, and L. Zhang, “Probabilistic Models for Wildfire Risk Assessment: Recent Advances and Applications,” IEEE Transactions on Geoscience and Remote Sensing, vol. 62, no. 6, pp. 3452-3463, Jun. 2024.

R. Singh, A. Sharma, and P. Gupta, “Spatiotemporal Analysis of Forest Fire Hotspots Using GIS and Machine Learning,” International Journal of Applied Earth Observation and Geoinformation, vol. 104, pp. 102-113, Jan. 2023.

C. Akbulak, H. Tatli, G. Aygün, and B. Sağlam, “Forest Fire Risk Analysis Via Integration of GIS, RS and AHP: The Case of Çanakkale, Turkey,” Journal of Human Sciences, vol. 15, no. 4, pp. 2127-2143, November 2018.

X. M. Dong, Y. Li, Y. L. Pan, Y. J. Huang, and X. D. Cheng, “Study on Urban Fire Station Planning Based on Fire Risk Assessment and GIS Technology,” Protection Engineering, vol. 211, pp. 124-130, January 2018.

ESRI, “Leveraging GIS for Modern Fire Services: Enhancing Response and Management,” An ESRI White Paper, 2023.

J. Smith, A. Brown, and L. Johnson, “Evaluation of Smoke Alarm Technologies for Residential Fire Safety: A Comprehensive Review,” IEEE Access, vol. 12, pp. 45567-45580, 2024.

R. Patel, P. Kumar, and S. Verma, “Forest Fire Risk Modeling Using Remote Sensing Data and GIS: A Study of the Western Ghats,” IEEE Transactions on Geoscience and Remote Sensing, vol. 62, no. 1, pp. 98-109, Jan. 2024.

C. Zhang, D. Wang, and L. Xu, “Spatiotemporal Analysis of Wildfire Risk Using GIS and Big Data Analytics,” IEEE Transactions on Cybernetics, vol. 54, no. 2, pp. 567-579, Feb. 2023.

A. J. Rubio, M. A. Ballera, and D. B. Gonzales, “Identifying Crime Hotspots in CAMANAVA by Geographic Information System Using Spatio-Temporal Analysis,” Asia Pacific Journal of Multidisciplinary Research, vol. 6, no. 3, pp. 82-90, August 2018.

M. F. Zhang, J. W. Liu, and T. C. Chen, “Spatiotemporal Data Models for Predictive Analytics in Urban Traffic Systems,” IEEE Transactions on Computational Social Systems, vol. 11, no. 1, pp. 91-103, Jan. 2024.

F. Tian, J. Liu, X. Li, C. Yang, and J. Lin: "An Integrated Road-Network Accessibility and Location-Allocation Model for Optimizing Urban Fire Station Site Selection," IEEE Access, vol. 11, pp. 45032-45045, 2023.