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Investigating the Relation between Walkability and the Changes in Pedestrian Policy through Wearable Sensing

Author

Listed:
  • Jihwan Yoon

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

  • Jaeyoul Chun

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

  • Hyunsoo Kim

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

Abstract

Since the enhancement of pedestrian rights, various pedestrian-related laws and policies have been implemented to enhance walkability. However, although laws and policies have been implemented to improve walkability, the quantitative measurement of walkability was insufficient in previous studies. Therefore, in this study, we analyzed the walkability of three experimental sites with different built periods using a wearable sensor. This study aims to overcome the limitations of previous studies and to confirm the applicability of pedestrian-related laws and policies. Accordingly, 30 subjects were recruited to participate in the experiment. Gait data were collected using the inertial measurement unit sensor of a smartphone. Based on the collected data, a similarity index was calculated by comparing the reference gait with the gait at each experimental site using dynamic time warping. The closer the calculated result is to 0, the higher is the similarity, that is, the walkability is high. The results of this study can be used as both a monitoring tool for pedestrian policy and an actual condition survey tool. Moreover, these results are expected to contribute to a pedestrian evaluation system using citizen sensing in smart cities in the future.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:24:p:10447-:d:461753
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    References listed on IDEAS

    as
    1. Hyunsoo Kim, 2020. "Wearable Sensor Data-Driven Walkability Assessment for Elderly People," Sustainability, MDPI, vol. 12(10), pages 1-13, May.
    2. Cao, Xinyu, 2006. "The Causal Relationship between the Built Environment and Personal Travel Choice: Evidence from Northern California," University of California Transportation Center, Working Papers qt07q5p340, University of California Transportation Center.
    3. Ivan Blečić & Tanja Congiu & Giovanna Fancello & Giuseppe Andrea Trunfio, 2020. "Planning and Design Support Tools for Walkability: A Guide for Urban Analysts," Sustainability, MDPI, vol. 12(11), pages 1-18, May.
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    Cited by:

    1. 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.
    2. 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.

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