IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i21p11727-d674709.html
   My bibliography  Save this article

The Feasibility of Information-Entropy-Based Behavioral Analysis for Detecting Environmental Barriers

Author

Listed:
  • Bogyeong Lee

    (Department Architectural Engineering, Dankook University, 152 Jukjeon-ro, Suji-gu, Yongin-si 16890, Korea)

  • Sungjoo Hwang

    (Department of Architectural and Urban Systems Engineering, Ewha Womans University, 52 Ewhayeodae-Gil, Seodaemun-Gu, Seoul 03760, Korea)

  • Hyunsoo Kim

    (Department Architectural Engineering, Dankook University, 152 Jukjeon-ro, Suji-gu, Yongin-si 16890, Korea)

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.

Suggested Citation

  • Bogyeong Lee & Sungjoo Hwang & Hyunsoo Kim, 2021. "The Feasibility of Information-Entropy-Based Behavioral Analysis for Detecting Environmental Barriers," IJERPH, MDPI, vol. 18(21), pages 1-14, November.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:21:p:11727-:d:674709
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/21/11727/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/18/21/11727/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zihao Wen & Hui Zhang & Ronghui Zhang, 2021. "Safety-Critical Event Identification on Mountain Roads for Traffic Safety and Environmental Protection Using Support Vector Machine with Information Entropy," Sustainability, MDPI, vol. 13(8), pages 1-15, April.
    2. Jihwan Yoon & Jaeyoul Chun & Hyunsoo Kim, 2020. "Investigating the Relation between Walkability and the Changes in Pedestrian Policy through Wearable Sensing," Sustainability, MDPI, vol. 12(24), pages 1-19, December.
    3. Arlie Adkins & Jennifer Dill & Gretchen Luhr & Margaret Neal, 2012. "Unpacking Walkability: Testing the Influence of Urban Design Features on Perceptions of Walking Environment Attractiveness," Journal of Urban Design, Taylor & Francis Journals, vol. 17(4), pages 499-510.
    4. Andrew F. Clark & Darren M. Scott, 2016. "Barriers to Walking: An Investigation of Adults in Hamilton (Ontario, Canada)," IJERPH, MDPI, vol. 13(2), pages 1-12, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bogyeong Lee & Hyunsoo Kim, 2022. "Two-Step k -means Clustering Based Information Entropy for Detecting Environmental Barriers Using Wearable Sensor," IJERPH, MDPI, vol. 19(2), pages 1-16, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kerun Li, 2024. "Research on the Factors Influencing the Spatial Quality of High-Density Urban Streets: A Framework Using Deep Learning, Street Scene Images, and Principal Component Analysis," Land, MDPI, vol. 13(8), pages 1-26, July.
    2. Ahmad Adeel & Bruno Notteboom & Ansar Yasar & Kris Scheerlinck & Jeroen Stevens, 2021. "Sustainable Streetscape and Built Environment Designs around BRT Stations: A Stated Choice Experiment Using 3D Visualizations," Sustainability, MDPI, vol. 13(12), pages 1-21, June.
    3. Eggimann, Sven, 2022. "Expanding urban green space with superblocks," Land Use Policy, Elsevier, vol. 117(C).
    4. Battista, Geoffrey A. & Manaugh, Kevin, 2018. "Stores and mores: Toward socializing walkability," Journal of Transport Geography, Elsevier, vol. 67(C), pages 53-60.
    5. Finlay, Jessica & Esposito, Michael & Langa, Kenneth M. & Judd, Suzanne & Clarke, Philippa, 2022. "Cognability: An Ecological Theory of neighborhoods and cognitive aging," Social Science & Medicine, Elsevier, vol. 309(C).
    6. Massingue, Suzanna Allen & Oviedo, Daniel, 2021. "Walkability and the Right to the city: A snapshot critique of pedestrian space in Maputo, Mozambique," Research in Transportation Economics, Elsevier, vol. 86(C).
    7. Wang, Yongcheng & Wong, Yiik Diew & Du, Bo & Lum, Kit Meng & Goh, Kelvin, 2024. "Sociospatial inclusiveness of streets through the lens of urban pedestrian mobilities: Go-along interviews with less mobile pedestrians in Singapore," Journal of Transport Geography, Elsevier, vol. 115(C).
    8. Mona Jabbari & Fernando Fonseca & Rui Ramos, 2018. "Combining multi-criteria and space syntax analysis to assess a pedestrian network: the case of Oporto," Journal of Urban Design, Taylor & Francis Journals, vol. 23(1), pages 23-41, January.
    9. Audrius Dėdelė & Auksė Miškinytė, 2021. "Promoting Sustainable Mobility: A Perspective from Car and Public Transport Users," IJERPH, MDPI, vol. 18(9), pages 1-17, April.
    10. Catherine Sundling & Marianne Jakobsson, 2023. "How Do Urban Walking Environments Impact Pedestrians’ Experience and Psychological Health? A Systematic Review," Sustainability, MDPI, vol. 15(14), pages 1-32, July.
    11. H. M. Abdul Aziz & Nicholas N. Nagle & April M. Morton & Michael R. Hilliard & Devin A. White & Robert N. Stewart, 2018. "Exploring the impact of walk–bike infrastructure, safety perception, and built-environment on active transportation mode choice: a random parameter model using New York City commuter data," Transportation, Springer, vol. 45(5), pages 1207-1229, September.
    12. Maria Grazia Bellizzi & Carmen Forciniti & Gabriella Mazzulla, 2021. "A Stated Preference Survey for Evaluating Young Pedestrians’ Preferences on Walkways," Sustainability, MDPI, vol. 13(22), pages 1-12, November.
    13. Lu, Yi & Sarkar, Chinmoy & Xiao, Yang, 2018. "The effect of street-level greenery on walking behavior: Evidence from Hong Kong," Social Science & Medicine, Elsevier, vol. 208(C), pages 41-49.
    14. Nano Langenheim & Marcus White, 2022. "Green Infrastructure and Urban-Renewal Simulation for Street Tree Design Decision-Making: Moderating Demands of Stormwater Management, Sunlight and Visual Aesthetics," IJERPH, MDPI, vol. 19(13), pages 1-28, July.
    15. Shereen Wael & Abeer Elshater & Samy Afifi, 2022. "Mapping User Experiences around Transit Stops Using Computer Vision Technology: Action Priorities from Cairo," Sustainability, MDPI, vol. 14(17), pages 1-20, September.
    16. McGreevy, Michael & Harris, Patrick & Delaney-Crowe, Toni & Fisher, Matt & Sainsbury, Peter & Riley, Emily & Baum, Fran, 2020. "How well do Australian government urban planning policies respond to the social determinants of health and health equity?," Land Use Policy, Elsevier, vol. 99(C).
    17. Mizzo Kwon & Andrew C. Pickett & Yunsoo Lee & SeungJong Lee, 2019. "Neighborhood Physical Environments, Recreational Wellbeing, and Psychological Health," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 14(1), pages 253-271, March.
    18. He, Hui & Zhou, Leyu & Yang, Shuo & Guo, Liang, 2024. "Why choose active travel over driving? Investigating the impact of the streetscape and land use on active travel in short journeys," Journal of Transport Geography, Elsevier, vol. 118(C).
    19. Kang, Lei & Fricker, Jon D., 2016. "Sharing urban sidewalks with bicyclists? An exploratory analysis of pedestrian perceptions and attitudes," Transport Policy, Elsevier, vol. 49(C), pages 216-225.
    20. Yi Lu, 2018. "The Association of Urban Greenness and Walking Behavior: Using Google Street View and Deep Learning Techniques to Estimate Residents’ Exposure to Urban Greenness," IJERPH, MDPI, vol. 15(8), pages 1-15, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:18:y:2021:i:21:p:11727-:d:674709. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.