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GPS surveying methods vary in application, accuracy, and data collection techniques, catering to diverse surveying and mapping needs. Static GPS, kinematic GPS, and real-time kinematic (RTK) surveying are widely used. Each technique offers distinct advantages.Static GPS involves placing one receiver at a known reference point and another at the target point. It collects exact positional data by observing multiple satellite ranges over an extended period, achieving centimeter-level accuracy for...
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Geographic Information Systems (GIS) are tools for storing, analyzing, and displaying spatial data alongside related attributes. Unlike traditional information systems that address general queries, GIS incorporates spatial components, enabling users to answer "where" and "how far." For example, GIS can process housing data linked to geographic locations like zip codes, allowing insights into population density or housing distribution through thematic maps.GIS integrates technologies such as...
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A Pilot Study Using Mixed GPS/Narrative Interview Methods to Understand Geospatial Behavior in Homeless Populations.

Carol S North1,2, Sarah E Wohlford3, Denis J Dean4

  • 1Metrocare Services, Dallas Texas, 1380 River Bend Drive, Dallas, TX, 75247-4914, USA. Carol.North@UTSouthwestern.edu.

Community Mental Health Journal
|November 4, 2016
PubMed
Summary

This pilot study refined global positioning system (GPS) methods to track homeless populations. The improved methods successfully chronicled participant movements, proving feasibility for future service planning.

Keywords:
Geographic information system (GIS)Geospatial behaviorGlobal positioning system (GPS)HomelessNarrative interviewTracking movements

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Area of Science:

  • Geospatial analysis
  • Public health research
  • Sociology

Background:

  • Understanding homeless population movements is crucial for effective service delivery.
  • Traditional tracking methods face significant challenges.
  • Geospatial data can illuminate patterns in homeless individuals' spatial and temporal behavior.

Purpose of the Study:

  • To develop, test, and refine methods for tracking homeless populations using global positioning systems (GPS) technology.
  • To integrate GPS data with individual narratives for a comprehensive understanding of movements.
  • To assess the feasibility and challenges of applying GPS technology in this population.

Main Methods:

  • Recruited a pilot sample of 29 adults from a homeless shelter in Fort Worth, Texas.
  • Employed global positioning systems (GPS) devices combined with pre- and post-deployment interviews.
  • Iteratively refined protocols to address data collection difficulties and improve participant compliance.

Main Results:

  • Initial data collection faced challenges, with only one of the first eight GPS deployments yielding sufficient usable data.
  • Protocol adjustments led to an 81% success rate for subsequent participants returning devices with over 20 hours of usable data.
  • Geospatial findings on population movements were successfully generated.

Conclusions:

  • The study successfully established and demonstrated feasible methods for tracking the movements of homeless populations using GPS technology.
  • Refined protocols significantly improved data acquisition success rates.
  • This approach provides a foundation for better understanding and serving homeless individuals through data-driven insights.