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Virginia Tech

Modeling Human Movement in the Wilderness: Navigating Lost Person Behavior and Searcher Response

Abstract

dc:description.abstract

Search and rescue (SAR) outcomes hinge on two behavioral uncertainties: how lost people move through complex landscapes and how ground teams search those landscapes. This dissertation develops a unified, data-driven view of both. First, we present a dynamic, agent-based model of lost person behavior that adapts empirically observed reorientation strategies (e.g., trail-following, staying put, backtracking), integrates map layers of terrain-specific features (e.g., roads, streams, powerline easements), and is validated against real incident data. Because navigation is so heavily-dependent on the landscape, we further extend the model to include more landscape-dependent behaviors (like following elevation contours), explicit spatial and temporal decision points, and direct comparisons to observed tracks. Through simulation of all possible behavior distributions, we find an average behavioral profile for a hiker in the wilderness that can be adapted to accommodate other categories of lost people in different landscapes and locations. Recognizing that the lost person is only part of the SAR operational equation, we then turn to the searchers themselves by quantifying human searcher movement and coordination using GPS logs from real missions. In analyzing elevation effects on speed, differences in search tactics, and coupled coordination within search teams, we gain a better understanding of searcher dynamics with actionable metrics that can be used to test and refine current SAR assumptions. The overarching contribution is an empirically grounded foundation that links lost person movement and searcher performance, bridging operational practice with formal search theory.

Degree

thesis:*
Name thesis:degree_name
Doctor of Philosophy
Level thesis:degree_level
doctoral
Discipline thesis:degree_discipline
Engineering Mechanics
Department dc:contributor.department
Engineering Science and Mechanics
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
2025

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Hashimoto, Amanda Hana
Chair dc:contributor.committeechair
  • Abaid, Nicole
Committee members dc:contributor.committeemember
  • Childs, Lauren M.
  • Ross, Shane D.
  • Socha, John J.
  • Williams, Ryan K.

Subjects

dc:subject × 4

Rights

dc:rights
Statement dc:rights
  • In Copyright
Language dc:language.iso
en

Identifiers

dc:identifier.*
Dc Identifier Other
vt_gsexam:44577
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/137552

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Hashimoto, Amanda Hana. Modeling Human Movement in the Wilderness: Navigating Lost Person Behavior and Searcher Response. doctoral thesis, Virginia Tech, 2025. https://hdl.handle.net/10919/137552