ijdase

GIS Network Analysis Tools and Emergency and Disaster Response: Industrial Use Case

Authors
  • Esther O. MAKINDE

    University of Lagos
    Author
  • Tosin J. Salami

    University of Lagos
    Author
  • Anuoluwapo O. KANMIJEJE

    University of Lagos
    Author
Keywords:
Emergency Response Service, Emergency and Disaster Market, GIS Network Analysis , ArcGIS Network Analyst, ERS preparedness, GIS
Abstract

This paper explores the trend and use of GIS Network analysis tools in the Emergency and Disaster (EDR) market, as well as in the emergency response service (ERS) industry. The use of GIS Network analysis tools in the EDR and ERS market over the years has increased the market competitiveness and has given room for increased efficiency and profit sharing for both public and private enterprises in the industry. The paper also explores the new ArcGIS pro Network Analyst tools and its underlying operating techniques. Proactive and reactive network analysis tools, including route analysis, service area, and location-allocation analysis tools, were explored, and case studies were reviewed on their use in relation to the EDR and ERS industry.  

Author Biographies
  1. Esther O. MAKINDE, University of Lagos

    Dr. Esther Oluwafunmilayo MAKINDE is an Associate Professor, and her expertise includes Geoinformatics, Remote Sensing/GIS Applications, AI, Geospatial techniques to the Environment/Climate Dynamics. A Commonwealth Postdoctoral Fellow (University of York, UK); a Senior Visiting Research Fellow (University of Deusto, Spain), she pioneered in Nigeria a UK based Soapbox Science for Women in STEMM.

  2. Tosin J. Salami, University of Lagos

    Tosin Julius SALAMI is a PhD Student and Research Assistant at the Department of Surveying and Geoinformatics, Faculty of Engineering, University of Lagos. His research interest includes GIS, Geospatial Technology, and Geomatics. 

  3. Anuoluwapo O. KANMIJEJE, University of Lagos

    Anuoluwapo O. KANMIJEJE is a Graduate student in the Department of Surveying and Geoinformatics at the University of Lagos, Nigeria. His areas of interest are Machine learning, GIS and Remote Sensing

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Published
01-10-2025
Section
Articles
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