Influences of Multi-Evacuation Strategies on Smart Networks

Authors

  • Zubaida Alazawi Highway and Transportation Department, College of Engineering, Mustansiriyah University, Baghdad, Iraq; Dormitory Affairs Department, Fallujah University, Al-Anbar, Iraq https://orcid.org/0000-0002-9923-8320
  • Khalid Chaloob Mathematics Department, College of Education, Fallujah University, Al-Anbar, Iraq https://orcid.org/0009-0002-7587-0556
  • Laith Farhan Jar Centre for Biotechnology and Environment Technology, Fallujah University, Al-Anbar, Iraq https://orcid.org/0000-0002-0317-671X
  • Omar Alani Networking, Electrical, Electronic, and Environmental Dep, School of Science and Engineering, Salford University, Manchester, UK https://orcid.org/0000-0002-5848-9107
  • Arunachalam Sundaram Networking, Electrical, Electronic, and Environmental Dep, School of Science and Engineering, Salford University, Manchester, UK https://orcid.org/0000-0001-6639-5437
  • Ivan Holmes Networking, Electrical, Electronic, and Environmental Dep, School of Science and Engineering, Salford University, Manchester, UK https://orcid.org/0009-0006-7624-330X

DOI:

https://doi.org/10.31272/jeasd.3595

Keywords:

Demand Strategy, Destination Strategy, Intelligent Disaster Management System, Speed Strategy, Vehicular Ad hoc Networks

Abstract

Catastrophes have increased over recent years, highlighting the need for effective disaster management systems. The largest earthquake to hit Turkey since 1939 caused damage to roughly 350,000 km² and affected 16% of Turkey's population. United Nations development experts estimate 1.5 million people were left homeless. The confirmed death toll was 53,537, with damage estimates at US$148.8 billion. Roads and communication disruptions hampered the pre-planned Disaster and Emergency Management system. Previous assessment of intelligent emergency response systems emphasizes the need for transportation networks in large-scale catastrophes. This study shows how the Intelligent Transportation System could be utilized in conjunction with emergency evacuation strategies in various situations. Meanwhile, to assess the evacuation strategies' performance, the Intelligence Disaster Management System uses different technologies, like mobiles, Social media, and vehicle devices, etc., in place of communication infrastructure and platforms. These strategies include demand, destination, and speed strategy. This research aims to model system performance and the aftermath of a disaster in a realistic urban transport city. Later, findings are compared with a control group that had a previous disaster control system. The combination of strategies compared to a singular strategy showed an increase of flow volume of 1.92 times greater.

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Key Dates

Received

2025-07-31

Revised

2026-02-05

Accepted

2026-02-10

Published Online First

2026-02-25

Published

2026-03-01

Issue

Vol. 30 No. 2 (2026): Journal of Engineering and Sustainable Development

Section

Articles

License

Copyright (c) 2026 Zubaida Alazawi, Khalid Chaloob, Laith Farhan Jar, Omar Alani, Arunachalam Sundaram, Ivan Holmes (Author)

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This work is licensed under a Creative Commons Attribution 4.0 International License.

The Journal of Engineering and Sustainable Development is an open-access journal that all contents are free of charge. Articles of this journal are licensed under the terms of the Creative Commons Attribution International Public License CC-BY 4.0 (https://creativecommons.org/licenses/by/4.0/legalcode) that licensees are unrestrictly allowed to search, download, share, distribute, print, or link to the full texts of the articles, crawl them for indexing and reproduce any medium of the articles provided that they give the author(s) proper credits (citation). The journal allows the author(s) to retain the copyright of their published article.
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How to Cite

Alazawi, Z. ., Chaloob, K. ., Jar, L. F. ., Alani , O., Sundaram, A. ., & Holmes, I. . (2026). Influences of Multi-Evacuation Strategies on Smart Networks. Journal of Engineering and Sustainable Development, 30(2), 234-242. https://doi.org/10.31272/jeasd.3595

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