Abstract

Debris generated and left in the wake of a disaster is one of a community’s greatest obstacles in the ability to restore function. The objectives of this paper are (1) to provide systematic procedures to develop and visualize the vulnerability index (VI) based on three dimensions, and (2) to prioritize debris removal by integrating all dimensions into a geographic information system (GIS). The proposed methodology for vulnerability heatmapping consists of three dimensions: (1) physical, (2) infrastructure, and (3) environmental. An unmanned aerial vehicle (UAV) is used to quantify the debris three-dimensional (3D) volumetric information as part of the 11 metrics selected and evaluated to establish the vulnerability of a location. The proposed process incorporates all systems into a process to allow decision makers to quickly determine scope, complexity, potential impact, and recovery needs. Therefore, the outcome of this research will ensure maximum and timely utilization of limited resources to reach a greater number of people who might be facing life-threatening situations, enhancing the community’s resilience.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

Data used were provided by A. Chang as part of the Texas A&M, Corpus Christi team.

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Go to Journal of Management in Engineering
Journal of Management in Engineering
Volume 40Issue 4July 2024

History

Received: Feb 23, 2023
Accepted: Nov 6, 2023
Published online: Mar 29, 2024
Published in print: Jul 1, 2024
Discussion open until: Aug 29, 2024

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Richard G. Walker, S.M.ASCE [email protected]
Ph.D. Candidate, Division of Civil Engineering, School of Civil and Environmental Engineering, Oklahoma State Univ., Stillwater, OK 74075. Email: [email protected]
Soojin Yoon, Ph.D., A.M.ASCE [email protected]
Assistant Professor, Division of Engineering and Technology, Oklahoma State Univ., Stillwater, OK 74075 (corresponding author). Email: [email protected]
Anjin Chang, Ph.D. [email protected]
Associate Professor, College of Agriculture, Tennessee State Univ., Nashville, TN 37209. Email: [email protected]
Jinha Jung, Ph.D. [email protected]
Associate Professor, Lyles School of Civil Engineering, Purdue Univ., West Lafayette, IN 47907. Email: [email protected]

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