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Related Concept Videos

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Related Experiment Video

Updated: Oct 13, 2025

Measuring Light-Switching Behavior Using an Occupancy and Light Data Logger
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The Feasibility of Information-Entropy-Based Behavioral Analysis for Detecting Environmental Barriers.

Bogyeong Lee1, Sungjoo Hwang2, Hyunsoo Kim1

  • 1Department Architectural Engineering, Dankook University, 152 Jukjeon-ro, Suji-gu, Yongin-si 16890, Korea.

International Journal of Environmental Research and Public Health
|November 13, 2021
PubMed
Summary

This study uses information entropy to analyze pedestrian behavior detected by smartphone sensors, successfully identifying built environment barriers. This method aids in creating more walkable urban spaces.

Keywords:
built environmentenvironmental barrierinertial measurement unit (imu)information entropywalkabilitywearable sensing

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Area of Science:

  • Urban Planning
  • Environmental Psychology
  • Data Science

Background:

  • Physical activity is linked to the built environment, with walking being a key activity.
  • Identifying and addressing built environment barriers is crucial for promoting pedestrian activity.
  • Pedestrian responses to environmental barriers can be diverse.

Purpose of the Study:

  • To explore the feasibility of using information-entropy-based behavioral analysis for detecting environmental barriers.
  • To assess if information entropy can quantify pedestrian responses to barriers in the built environment.

Main Methods:

  • Collected pedestrian physical responses using smartphone inertial measurement unit (IMU) sensors.
  • Converted sensor data into behavioral probability distributions.
  • Calculated information entropy for each grid cell based on pedestrian behavior.

Main Results:

  • Grid cells identified by participants as containing environmental barriers showed higher information entropy values.
  • Information entropy effectively distinguished between areas with and without perceived barriers.
  • Smartphone-based data collection proved feasible for this analysis.

Conclusions:

  • Information-entropy-based behavioral analysis is a viable method for detecting environmental barriers.
  • This approach can contribute to designing more pedestrian-friendly built environments.
  • Citizen-based monitoring of the built environment can be enhanced using these methods.