The Journal of The Korea Institute of Intelligent Transport Systems (한국ITS학회 논문지)

The Korea Institute of Intelligent Transport Systems (한국ITS학회)
권호 표지
DOI QR코드

DOI QR Code

A Study on Physical Activity by Transportation Mode Using Heart Rate

심박수를 활용한 교통수단별 신체활동 정보 분석 연구

  • Jeong, Eunbi (Innovative Transport Policy Division, Korea Railroad Research Institute) ;
  • You, Soyoung Iris (Innovative Transport Policy Division, Korea Railroad Research Institute) ;
  • Yu, Seung Min (Innovative Transport Policy Division, Korea Railroad Research Institute)
  • 정은비 (한국철도기술연구원 미래교통정책본부) ;
  • 유소영 (한국철도기술연구원 미래교통정책본부) ;
  • 유승민 (한국철도기술연구원 미래교통정책본부)
  • Received : 2020.07.07
  • Accepted : 2020.08.24
  • Published : 2020.08.31
Download PDF
⟨ Previous Next ⟩

Abstract

Recently, with the development of various sensors and communication technologies, the market for wearable devices capable of recording physical activity in connection with a smartphone is expanding. The purpose of this study is to analyze physical activity for each transportation modes in order to utilize wearable devices in the field of transportation. This study consists of three steps: data collection, basic statistical analysis, and physical activity analysis. Four adult males and females were recruited as investigators, and physical activity and route information were collected through Fitbit, a commercial wearable device. From the collected physical activity information, a percentage of heart rate reserve (%HRR) using a heart rate was derived and used for analysis. As a results, it was found that there is a statistically significant difference in heart rate for each transportation mode, and physical activity intensity is the highest when walking. In addition, the results of physical activity analysis for the case of using different routes for the same OD were presented. The results presented in this study are expected to be used as basic data for preparing public transportation activation policies and providing customized services for the future.

최근 각종 센서 및 통신 기술의 발전에 따라 다양한 자료수집이 용이해졌으며, 스마트폰과 연동하여 활동에 대한 기록이 가능한 웨어러블 디바이스 관련 시장이 확대되고 있다. 본 연구에서는 웨어러블 디바이스에서 수집이 가능한 개별 이용자 이동정보, 신체활동 정보 분석을 통해 대중교통 이용이 신체활동에 미치는 영향 정보제공을 위한 기초 분석을 수행하고, 개별 신체활동 정보를 제공하였다. 교통수단별 신체활동 분석은 자료수집, 기초 통계분석, 신체활동 정보 분석의 3단계로 구성하였다. 20-30대 성인남녀 4명을 피험자로 모집하여 상용 웨어러블 디바이스인 Fitbit을 통해 교통수단 이용에 따른 신체활동 정보 및 경로 정보를 수집하였다. 수집된 신체활동 정보 중 심박수를 이용한 예비심박률(%HRR: Percentage of Heart Rate Reserve)을 도출하여 분석에 활용하였다. 분석결과, 교통수단별로 예비심박률은 통계적으로 유의한 차이가 있는 것으로 나타났으며, 도보를 이용하는 경우 신체활동 강도가 가장 높은 것으로 분석되었다. 또한, 추후 이용자에게 신체활동 정보제공 서비스를 제공하기 위한 기초 분석으로, 동일한 기종점에 대한 서로 다른 경로를 이용하는 경우에 대한 신체활동 분석결과를 제시하였다. 본 연구에서 제시한 결과는 향후 대중교통 활성화 정책 마련, 이용자 맞춤형 서비스 제공을 위한 기초자료로 활용이 가능할 것으로 기대된다.

Keywords

References

  1. American College of Sports Medicine (ACSM)(2014), ACSM's Guidelines for Exercise Testing and Prescription, 7th Ed, Baltimore: Williams & Wilkins.
  2. Doh Y., Keum S., Lee S. and Lee J.(2014), "The exploratory study of factors which influence to the maintenance of using wearable device for healthcare Interdisciplinary approach to user experiences combined with technology, psychology and interaction perspectives," Communications of the Korean Institute of Information Scientists and Engineers, vol. 32, no. 11, pp.37-45.
  3. Doorley R., Pakrashi V., Byrne E., Comerford S., Ghosh B. and Groeger J. A.(2015), "Analysis of heart rate variability amongst cyclists under perceived variations of risk exposure," Transportation Research Part F, vol. 28, no. 2015, pp.40-54. https://doi.org/10.1016/j.trf.2014.11.004
  4. Fitch D. T., Sharpnack J. and Handy S. L.(2020), "Psychological stress of bicycling with traffic: examining hear rate variability of bicyclists in natural urban environments," Transportation Research Part F, vol. 70, no. 2020, pp.81-97. https://doi.org/10.1016/j.trf.2020.02.015
  5. Gregory J. W.(2002), Physical Activity Assessments for Health-Related Research, Human Kinetics Publishers, Inc., ISBN: 0-7360-3748-9, p.152.
  6. Joo S. and Oh J. S.(2018), "Multifaceted Transportation Performance Integrating Mobility, Safety, Air Quality, Physical Activity and Public Health," Journal of Transportation & Health, vol. 9, Supplement, p.S33. available: https://doi.org/10.1016/j.jth.2018.05.093.
  7. Karvonen M. J., Kentala E. and Mustala O.(1957), "The effects of training on heart rate: a longitudinal study," Ann. Med. Exp. Biol. Fenn. vol. 35, pp.307-315.
  8. Kim Y. and Kim J.(2018), "A Trends of Wearable Device & Healthcare Industries," The Korea Contents Association Review, vol. 16, no. 4, pp.14-19.
  9. Kim Y. Y., Lee S. R. and Lee M. G.(2016), "Effects of 12 Weeks of Commuting Via Public Transportation on Cardiovascular Function and Obesity Indices in Middle Aged Men," Journal of Transport Research, vol. 23, no. 4, pp.85-100. https://doi.org/10.34143/jtr.2016.23.4.85
  10. Lee J. and Park J. H.(2015), "The Impact of the Bus Use Environments on Users Stress: The Case of Daejeon City," J. Korean Soc. Transp., vol. 33, no. 6, pp.543-553. https://doi.org/10.7470/jkst.2015.33.6.543
  11. Liao Y., Tsai H. H., Wang H. S., Lin C. P., Wu M. C. and Chen J. F.(2016), "Travel mode, transportation-related physical activity, and risk of overweight in Taiwanese adults," Journal of Transport & Health, vol. 3, no. 2016, pp.220-225. https://doi.org/10.1016/j.jth.2016.02.012
  12. Lim K. B. and Lee H. J.(2009), "The Effect of the Change of Commuting Mode on Physical Fitness and Cardiovascular Risk Factors," The Korean Journal of Sports Medicine, vol. 27, no. 1, pp.19-27.
  13. Oh J. S., Hasan R., Irshaid H., Joo S., Lee S. and Al-Fuqaha A.(2018), "Monitoring Daily Activities and Linking Physical Activity Levels Attributed to Transportation Mobility Choices," Journal of Transportation & Health, vol. 9, Supplement, pp.S33-S34, available: https://doi.org/10.1016/j.jth.2018.05.094.
  14. Park J.(2013), "Measurement and Analysis of Stress from Commuting Modes and Conditions Use Bio-index," Journal of Transport Research, vol. 20, no. 1, pp.79-95. https://doi.org/10.34143/JTR.2013.20.1.79
  15. Solheim T. J., Keller B. G. and Fountaine C. J.(2014), "VO2 Reserve vs. Heart Rate Reserve During Moderate Intensity Treadmill Exercise," International Journal of Exercise Science, vol. 7, no. 4, pp.311-317.
  16. Strategy Analytics(2019), Global Smartwatch Shipments Leap to 14 Million Units in Q3 2019, Strategy Analytics Blogs, available: https://www.strategyanalytics.com/strategy-analytics/blogs/wearables/2019/11/06/global-smartwatch-shipments-leap-to-14-million-units-in-q3-2019.
  17. Swain D. P. and Leutholtz B. C.(1997), "Heart rate reserve is equivalent to%˙VO2 Reserve, not to%˙ VO2max," Medicine & Science in Sports & Exercise, vol. 29, no. 3, pp.410-414. https://doi.org/10.1097/00005768-199703000-00018
  18. Wasfi R. A., Ross H. A. and El-Geneidy A. M.(2013), "Achieving recommended daily physical activity levels through commuting by public transportation: Unpacking individual and contextual influences," Health & Place, vol. 23, no. 2013, pp.18-25. https://doi.org/10.1016/j.healthplace.2013.04.006