The feasibility of information-entropy-based behavioral analysis for detecting environmental barriers

Bogyeong Lee, Sungjoo Hwang, Hyunsoo Kim

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

The enhancement of physical activity is highly correlated with the conditions of the built environment. Walking is considered to be a fundamental daily physical activity, which requires an appropriate environment. Therefore, the barriers of the built environment should be identified and addressed. Barriers can act as external stimuli for pedestrians, so pedestrians may diversely respond to them. Based on this consideration, this study examines the feasibility of information-entropy-based behavioral analysis for the detection of environmental barriers. The physical responses of pedestrians were collected using an inertial measurement unit (IMU) sensor in a smartphone. After the acquired data were converted to behavioral probability distributions, the information entropy of each grid cell was calculated. The grid cells whereby the participants indicated that environmental barriers were present yielded relatively high information entropy values. The findings of this study will facilitate the design of more pedestrian-friendly environments and the development of diverse approaches that utilize citizens for monitoring the built environment.

Original languageEnglish
Article number11727
JournalInternational Journal of Environmental Research and Public Health
Volume18
Issue number21
DOIs
StatePublished - 1 Nov 2021

Bibliographical note

Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.

Keywords

  • Built environment
  • Environmental barrier
  • Inertial measurement unit (imu)
  • Information entropy
  • Walkability
  • Wearable sensing

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