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Location Information Quality: A Review.

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This study reviews location information quality in location-based services (LBSs). It proposes a consistent framework and strategies for managing location data quality across sensor, algorithm, and application levels.

Keywords:
adaptation strategieslocation-based servicespositional informationquality of location information

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Area of Science:

  • Computer Science
  • Geographic Information Science

Background:

  • Location information quality is crucial for effective location-based services (LBSs).
  • Existing literature defines location quality using diverse aspects, leading to inconsistency.
  • Understanding factors affecting location sensing technologies is vital for improving data quality.

Purpose of the Study:

  • To systematically review existing literature on location information quality.
  • To establish a unified framework for describing and managing location data quality.
  • To classify strategies for addressing variations in location information quality.

Main Methods:

  • Comprehensive literature review of location information quality aspects and influencing factors.
  • Development of a standardized model for describing location information quality.
  • Classification of quality management strategies across sensor, algorithm, and application levels.

Main Results:

  • Identified diverse definitions and aspects of location information quality in current research.
  • Proposed a consistent model for describing location information quality.
  • Developed a three-level classification of strategies for managing location data quality variations.

Conclusions:

  • A standardized model and classification framework enhance the description and management of location information quality.
  • The proposed framework supports designers of location sensing systems and LBS applications.
  • Effective quality management strategies can be implemented at sensor, algorithm, and application levels.