Transportation network efficiency during disaster events

Authors

  • JC Albert Peralta ⋅ PH Department of Physics, Ateneo de Manila University
  • May Lim ⋅ PH National Institute of Physics, University of the Philippines Diliman
  • Reinabelle Reyes ⋅ PH National Institute of Physics, University of the Philippines Diliman

Abstract

We present a method for gauging network efficiency as a result of sweeping damage due to natural events. We compare various typical random model networks–lattice, Barabasi-Albert, and small-world–against an actual transportation network for Visayas, Philippines. We find the Visayas transportation network to be fragile and most closely resembling the small-world network. Both networks exhibit a significant drop in relief delivery efficiency even with a relatively small degree of network damage, in contrast to the lattice and Barabasi-Albert networks, which are robust up to higher damage thresholds. Our results demonstrate the difficulty of achieving timely relief delivery efforts in the aftermath of disasters and underline the importance of strategic multiscale pre-positioning of relief goods across the country.

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Issue

Article ID

SPP-2020-3C-07

Section

Complex Systems and Data Analytics

Published

2020-10-19

How to Cite

[1]
JA Peralta, M Lim, and R Reyes, Transportation network efficiency during disaster events, Proceedings of the Samahang Pisika ng Pilipinas 38, SPP-2020-3C-07 (2020). URL: https://proceedings.spp-online.org/article/view/SPP-2020-3C-07.