Development of a Multi-Agency Incident Reporting System

Shehu Zara’u, Hassan Maharazu, Usman Bara’u Musa, Abubakar Muktar, Abdullahi Abdulaziz, Abubakar Ahmad

Abstract


This research presents the development of a Multi-Agency Mobile Incident Reporting and Emergency Social Awareness System aimed at addressing the persistent complexities and inefficiencies in contemporary incident management. The study underscores the importance of inter-agency collaboration and leverages modern mobile and cloud-based technologies to optimize emergency response operations and strengthen public safety. Existing incident reporting frameworks are often hindered by fragmentation, manual workflows, and outdated infrastructures, resulting in delayed response times, duplicated efforts, poor resource coordination, and limited situational awareness. To overcome these challenges, the proposed system integrates real-time data collection, cross-agency interoperability, and intelligent analytics to support rapid decision-making and coordinated action. The solution incorporates a unified mobile platform that enables citizens and field responders to report incidents efficiently, while agencies can seamlessly share information through a secure, scalable backend architecture. Additionally, embedded social awareness features and automated data processing enhance communication, support community engagement, and improve the accuracy of situational assessments. By combining mobile technology, multi-agency integration, and data-driven insights, this research advances the field of emergency management and offers a transformative approach for improving public safety outcomes in rapidly evolving incident environments. 


Full Text:

PDF

References


Visual Paradigm, S. (2024). Visual Paradigm Flow chart maker. Web Pubication. https://online.visualparadigm.com/app/diagrams/#diagram:workspace=ulmuhgxu&proj=0&id=1&type=Flowchart

Aaron, R. (2023). Firebase vs. Supabase vs. AWS Amplify vs. Appwrite: Comparing Backend as a Service (BaaS) Platforms. Web Article Publication. https://aaron-russell.co.uk/blog/firebase-vs-supabase-vs-aws-amplify-vs-appwrite/

Daria, K. (2023, July). The Power Of Java: A Comprehensive Guide to Understanding and Using the Programming Language. Web Article Publication. https://fetocan.com/blog/the-power-of-java-a-comprehensive-guide-to-understanding-and-using-the-programming-language

Google LLC. (2023). Android Studio Hedgehog | 2023.1.1 . Web Pulication. https://developer.android.com/studio?_gl=1*1r9g3ei*_up*MQ..&gclid=CjwKCAiA29auBhBxEiwAnKcSqneaPM-6ea7pms_c5b9JlsTmu2Kyq_ajar1b8NF8j_y_TFo7iYJMwRoCP0oQAvD_BwE&gclsrc=aw.ds

Ralph Aran C. Cabañero. (2023). Mobile Incident Management System using React Native. International Journal of Advanced Research in Science, Communication and Technology, 891–897. https://doi.org/10.48175/ijarsct-12325

Rathod, G. S., Jajulwar, K., & Kubde, U. (2023). Machine learning-based intelligent accident detection and notification system in IoT network. International Conference on Emerging Trends in Engineering and Technology, ICETET, 2023-April. https://doi.org/10.1109/ICETET-SIP58143.2023.10151583

William, P. R., Sydney S. Alison Adalin, khristopher, R. L. C., & Gian, windsor. (2023). Mamamayan: An Android mobile Community-based Emergency Reporting and Notification System. https://doi.org/10.46254/an12.20220799

Hertelendy, A. J., Goniewicz, K., & Khorram-Manesh, A. (2020). The applications of geographic information systems in disaster and emergency management in Europe. In Disaster and Emergency Medicine Journal (Vol. 5, Issue 4). https://doi.org/10.5603/DEMJ.a2020.0040

itsoftexpert. (2020). IDE- Android Studio. Web Article Publication. https://itsoftexpert.com/ide-android-studio/

Keskin, I., Karacameydan, N., Tosun, M., Tüfekci, M. K., Bulut, D., Avci, F., & Gökce, O. (2019). AYDES: An All-in-One Solution for Geospatial Information Technology Based Disaster Management and Decision Support. Lecture Notes in Geoinformation and Cartography, 61–86. https://doi.org/10.1007/978-3-030-05330-7_3

Harrison, S., & Johnson, P. (2019). Challenges in the adoption of crisis crowdsourcing and social media in Canadian emergency management. Government Information Quarterly, 36(3), 501–509. https://doi.org/10.1016/j.giq.2019.04.002

Luna, S., & Pennock, M. J. (2018). Social media applications and emergency management: A literature review and research agenda. International Journal of Disaster Risk Reduction, 28, 565–577. https://doi.org/10.1016/j.ijdrr.2018.01.006

Fanca, A., Puscasiu, A., Valean, H., & Folea, S. (2018). A survey on smartphone-based accident reporting and guidance systems. International Journal of Advanced Computer Science and Applications, 9(9). https://doi.org/10.14569/ijacsa.2018.090952

Tian, H., & Chen, S. C. (2017). A Video-Aided Semantic Analytics System for Disaster Information Integration. Proceedings - 2017 IEEE 3rd International Conference on Multimedia Big Data, BigMM 2017, 242–243. https://doi.org/10.1109/BigMM.2017.31

Gratzer, A. L., Thormann, S., Schirrer, A., & Jakubek, S. (2022a). String Stable and Collision-Safe Model Predictive Platoon Control. IEEE Transactions on Intelligent Transportation Systems, 23(10), 19358–19373. https://doi.org/10.1109/TITS.2022.3160236

methods. In Annual Reviews in Control (Vol. 47, pp. 81–97). Elsevier Ltd. https://doi.org/10.1016/j.arcontrol.2019.03.001

Une, H., & Nakano, T. (2018). Recent innovation of geospatial information technology to support disaster risk management and responses. Proceedings of the ICA, 1. https://doi.org/10.5194/ica-proc-1-117-2018.


Refbacks

  • There are currently no refbacks.