The Feasibility of Information-Entropy-Based Behavioral Analysis for Detecting Environmental Barriers
- 주제(키워드) walkability , environmental barrier , inertial measurement unit (imu) , information entropy , wearable sensing , built environment
- 주제(기타) Environmental Sciences
- 주제(기타) Public, Environmental & Occupational Health
- 설명문(일반) [Lee, Bogyeong; Kim, Hyunsoo] Dankook Univ, Dept Architectural Engn, 152 Jukjeon Ro, Yongin 16890, South Korea; [Hwang, Sungjoo] Ewha Womans Univ, Dept Architectural & Urban Syst Engn, 52 Ewhayeodae Gil, Seoul 03760, South Korea
- 등재 SCIE, SSCI, SCOPUS
- OA유형 Green Published, gold
- 발행기관 MDPI
- 발행년도 2021
- URI http://www.dcollection.net/handler/ewha/000000190126
- 본문언어 영어
- Published As https://doi.org/10.3390/ijerph182111727
- PubMed https://pubmed.ncbi.nlm.nih.gov/34770241
초록/요약
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.
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