IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i6p3025-d514204.html
   My bibliography  Save this article

Analysis of the Activity and Travel Patterns of the Elderly Using Mobile Phone-Based Hourly Locational Trajectory Data: Case Study of Gangnam, Korea

Author

Listed:
  • Kwang-Sub Lee

    (Railroad Policy Research Team, Korea Railroad Research Institute, Uiwang 16105, Korea)

  • Jin Ki Eom

    (Railroad Policy Research Team, Korea Railroad Research Institute, Uiwang 16105, Korea)

  • Jun Lee

    (Railroad Policy Research Team, Korea Railroad Research Institute, Uiwang 16105, Korea)

  • Sangpil Ko

    (Railroad Policy Research Team, Korea Railroad Research Institute, Uiwang 16105, Korea)

Abstract

Rapid demographic ageing is a global challenge and has tremendous implications for transportation planning, because the mobility of elderly people is an essential element for active ageing. Although many studies have been conducted on this issue, most of them have been focused on aggregated travel patterns of the elderly, limited in spatiotemporal analysis, and most importantly primarily relied on sampled (2–3%) household travel surveys, omitting some trips and having concerns of quality and credibility. The objectives of this study are to present more in-depth analysis of the elderly’s spatiotemporal activity and travel behaviors, to compare them with other age and gender groups, and to draw implications for sustainable transportation for the elderly. For our analysis, we used locational trajectory-based mobile phone data in Gangnam, Korea. The data differs from sampled household travel survey data, as mobile phone data represents the entire population and can capture comprehensive travelers’ movements, including peculiarities. Consistent with previous researches, the results of this study showed that there were differences in activity and travel patterns between age and gender groups. However, some different results were obtained as well: for instance, the average nonhome activity time per person for the elderly was shorter than that of the nonelderly, but the average numbers of nonhome activities and trips were rather higher than those of nonelderly people. The results of this study and advantage of using mobile phone data will help policymakers understand the activities and movements of the elderly and prepare future sustainable transportation.

Suggested Citation

  • Kwang-Sub Lee & Jin Ki Eom & Jun Lee & Sangpil Ko, 2021. "Analysis of the Activity and Travel Patterns of the Elderly Using Mobile Phone-Based Hourly Locational Trajectory Data: Case Study of Gangnam, Korea," Sustainability, MDPI, vol. 13(6), pages 1-23, March.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:6:p:3025-:d:514204
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/6/3025/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/6/3025/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. van den Berg, Pauline & Arentze, Theo & Timmermans, Harry, 2011. "Estimating social travel demand of senior citizens in the Netherlands," Journal of Transport Geography, Elsevier, vol. 19(2), pages 323-331.
    2. Shao, Fengjing & Sui, Yi & Yu, Xiang & Sun, Rencheng, 2019. "Spatio-temporal travel patterns of elderly people – A comparative study based on buses usage in Qingdao, China," Journal of Transport Geography, Elsevier, vol. 76(C), pages 178-190.
    3. Arun Kuppam & Ram Pendyala, 2001. "A structural equations analysis of commuters' activity and travel patterns," Transportation, Springer, vol. 28(1), pages 33-54, February.
    4. Asakura, Yasuo & Iryo, Takamasa, 2007. "Analysis of tourist behaviour based on the tracking data collected using a mobile communication instrument," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(7), pages 684-690, August.
    5. Sandra Rosenbloom, 2001. "Sustainability and automobility among the elderly: An international assessment," Transportation, Springer, vol. 28(4), pages 375-408, November.
    6. He, Sylvia Y. & Cheung, Yannie H.Y. & Tao, Sui, 2018. "Travel mobility and social participation among older people in a transit metropolis: A socio-spatial-temporal perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 608-626.
    7. Cheng, Long & Chen, Xuewu & Yang, Shuo & Cao, Zhan & De Vos, Jonas & Witlox, Frank, 2019. "Active travel for active ageing in China: The role of built environment," Journal of Transport Geography, Elsevier, vol. 76(C), pages 142-152.
    8. Filippo Simini & Marta C. González & Amos Maritan & Albert-László Barabási, 2012. "A universal model for mobility and migration patterns," Nature, Nature, vol. 484(7392), pages 96-100, April.
    9. Ma, Xiaolei & Liu, Congcong & Wen, Huimin & Wang, Yunpeng & Wu, Yao-Jan, 2017. "Understanding commuting patterns using transit smart card data," Journal of Transport Geography, Elsevier, vol. 58(C), pages 135-145.
    10. Moniruzzaman, Md. & Páez, Antonio & Nurul Habib, Khandker M. & Morency, Catherine, 2013. "Mode use and trip length of seniors in Montreal," Journal of Transport Geography, Elsevier, vol. 30(C), pages 89-99.
    11. Olof Johansson-Stenman, 2002. "Estimating individual driving distance by car and public transport use in Sweden," Applied Economics, Taylor & Francis Journals, vol. 34(8), pages 959-967.
    12. Lars Böcker & Patrick Amen & Marco Helbich, 2017. "Elderly travel frequencies and transport mode choices in Greater Rotterdam, the Netherlands," Transportation, Springer, vol. 44(4), pages 831-852, July.
    13. Wong, R.C.P. & Szeto, W.Y. & Yang, Linchuan & Li, Y.C. & Wong, S.C., 2018. "Public transport policy measures for improving elderly mobility," Transport Policy, Elsevier, vol. 63(C), pages 73-79.
    14. Antonio Paez & Darren Scott & Dimitris Potoglou & Pavlos Kanaroglou & K. Bruce Newbold, 2007. "Elderly Mobility: Demographic and Spatial Analysis of Trip Making in the Hamilton CMA, Canada," Urban Studies, Urban Studies Journal Limited, vol. 44(1), pages 123-146, January.
    15. Saidatulakmal Mohd & Abdul Rais Abdul Latiff & Abdelhak Senadjki, 2019. "Travel Behavior of Elderly in George Town and Malacca, Malaysia," Sustainability, MDPI, vol. 11(19), pages 1-20, September.
    16. Zhang, Yongsheng & Yao, Enjian & Zhang, Rui & Xu, Hao, 2019. "Analysis of elderly people's travel behaviours during the morning peak hours in the context of the free bus programme in Beijing, China," Journal of Transport Geography, Elsevier, vol. 76(C), pages 191-199.
    17. Ipingbemi, Olusiyi, 2010. "Travel characteristics and mobility constraints of the elderly in Ibadan, Nigeria," Journal of Transport Geography, Elsevier, vol. 18(2), pages 285-291.
    18. Wenzhi Liu & Huapu Lu & Zhiyuan Sun & Jing Liu, 2017. "Elderly’s Travel Patterns and Trends: The Empirical Analysis of Beijing," Sustainability, MDPI, vol. 9(6), pages 1-11, June.
    19. Boschmann, E. Eric & Brady, Sylvia A., 2013. "Travel behaviors, sustainable mobility, and transit-oriented developments: a travel counts analysis of older adults in the Denver, Colorado metropolitan area," Journal of Transport Geography, Elsevier, vol. 33(C), pages 1-11.
    20. Ruone Zhang & Xin Ye & Ke Wang & Dongjin Li & Jiayu Zhu, 2019. "Development of Commute Mode Choice Model by Integrating Actively and Passively Collected Travel Data," Sustainability, MDPI, vol. 11(10), pages 1-15, May.
    21. Karim W. F. Youssef, 2018. "The built environment and public health," Community Development, Taylor & Francis Journals, vol. 49(1), pages 121-122, January.
    22. Sébastien Dujardin & Damien Jacques & Jessica Steele & Catherine Linard, 2020. "Mobile Phone Data for Urban Climate Change Adaptation: Reviewing Applications, Opportunities and Key Challenges," Sustainability, MDPI, vol. 12(4), pages 1-17, February.
    23. Kaniz Fatima & Sara Moridpour & Chris De Gruyter & Tayebeh Saghapour, 2020. "Elderly Sustainable Mobility: Scientific Paper Review," Sustainability, MDPI, vol. 12(18), pages 1-17, September.
    24. Alsnih, Rahaf & Hensher, David A., 2003. "The mobility and accessibility expectations of seniors in an aging population," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(10), pages 903-916, December.
    25. Shoval, Noam & Auslander, Gail & Cohen-Shalom, Kineret & Isaacson, Michal & Landau, Ruth & Heinik, Jeremia, 2010. "What can we learn about the mobility of the elderly in the GPS era?," Journal of Transport Geography, Elsevier, vol. 18(5), pages 603-612.
    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. Nima Dadashzadeh & Taimaz Larimian & Ulysse Levifve & Rok Marsetič, 2022. "Travel Behaviour of Vulnerable Social Groups: Pre, during, and Post COVID-19 Pandemic," IJERPH, MDPI, vol. 19(16), pages 1-18, August.
    2. Jingxu Lan & Yang Xue & Dewei Fang & Qian Zheng, 2022. "Optimal Strategies for Elderly Public Transport Service Based on Impact-Asymmetry Analysis: A Case Study of Harbin," Sustainability, MDPI, vol. 14(3), pages 1-13, January.
    3. Abdul Rais Abdul Latiff & Saidatulakmal Mohd, 2023. "Transport, Mobility and the Wellbeing of Older Adults: An Exploration of Private Chauffeuring and Companionship Services in Malaysia," IJERPH, MDPI, vol. 20(3), pages 1-17, February.

    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. Liu, Shasha & Yamamoto, Toshiyuki & Yao, Enjian & Nakamura, Toshiyuki, 2021. "Examining public transport usage by older adults with smart card data: A longitudinal study in Japan," Journal of Transport Geography, Elsevier, vol. 93(C).
    2. Shao, Fengjing & Sui, Yi & Yu, Xiang & Sun, Rencheng, 2019. "Spatio-temporal travel patterns of elderly people – A comparative study based on buses usage in Qingdao, China," Journal of Transport Geography, Elsevier, vol. 76(C), pages 178-190.
    3. Kaniz Fatima & Sara Moridpour & Tayebeh Saghapour, 2021. "Spatial and Temporal Distribution of Elderly Public Transport Mode Preference," Sustainability, MDPI, vol. 13(9), pages 1-15, April.
    4. Su, Rongxiang & Xiao, Jingyi & McBride, Elizabeth C. & Goulias, Konstadinos G., 2021. "Understanding senior's daily mobility patterns in California using human mobility motifs," Journal of Transport Geography, Elsevier, vol. 94(C).
    5. Samira Ramezani & Tiina Laatikainen & Kamyar Hasanzadeh & Marketta Kyttä, 2021. "Shopping trip mode choice of older adults: an application of activity space and hybrid choice models in understanding the effects of built environment and personal goals," Transportation, Springer, vol. 48(2), pages 505-536, April.
    6. Ahmad, Zaheer & Batool, Zahara & Starkey, Paul, 2019. "Understanding mobility characteristics and needs of older persons in urban Pakistan with respect to use of public transport and self-driving," Journal of Transport Geography, Elsevier, vol. 74(C), pages 181-190.
    7. Saidatulakmal Mohd & Abdul Rais Abdul Latiff & Abdelhak Senadjki, 2019. "Travel Behavior of Elderly in George Town and Malacca, Malaysia," Sustainability, MDPI, vol. 11(19), pages 1-20, September.
    8. Zhang Sen & Zhang Ke & Liu Xiaoyang & Zeng Jian & Liu Yan & Zhao Lian, 2022. "Characterisation of elderly daily travel behaviour in Tianjin using a space–time cube," Environment and Planning B, , vol. 49(2), pages 603-618, February.
    9. Soltani, Ali & Pojani, Dorina & Askari, Sajad & Masoumi, Houshmand E., 2018. "Socio-demographic and built environment determinants of car use among older adults in Iran," Journal of Transport Geography, Elsevier, vol. 68(C), pages 109-117.
    10. Yang, Yongjiang & Sasaki, Kuniaki & Cheng, Long & Tao, Sui, 2022. "Does the built environment matter for active travel among older adults: Insights from Chiba City, Japan," Journal of Transport Geography, Elsevier, vol. 101(C).
    11. Mitra, Suman & Yao, Mingqi & Ritchie, Stephen G., 2021. "Gender differences in elderly mobility in the United States," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 203-226.
    12. Yang, Dujuan & Timmermans, Harry & Grigolon, Anna, 2013. "Exploring heterogeneity in travel time expenditure of aging populations in the Netherlands: results of a CHAID analysis," Journal of Transport Geography, Elsevier, vol. 33(C), pages 170-179.
    13. Yang, Linchuan & Ao, Yibin & Ke, Jintao & Lu, Yi & Liang, Yuan, 2021. "To walk or not to walk? Examining non-linear effects of streetscape greenery on walking propensity of older adults," Journal of Transport Geography, Elsevier, vol. 94(C).
    14. Chen, Wendong & Cheng, Long & Chen, Xuewu & Chen, Jingxu & Cao, Mengqiu, 2021. "Measuring accessibility to health care services for older bus passengers: A finer spatial resolution," Journal of Transport Geography, Elsevier, vol. 93(C).
    15. Li, Shengxiao (Alex) & Duan, Hongyu (Anna) & Smith, Tony E. & Hu, Haoyu, 2021. "Time-varying accessibility to senior centers by public transit in Philadelphia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 151(C), pages 245-258.
    16. Khandker Habib, 2015. "An investigation on mode choice and travel distance demand of older people in the National Capital Region (NCR) of Canada: application of a utility theoretic joint econometric model," Transportation, Springer, vol. 42(1), pages 143-161, January.
    17. Biranchi Adhikari & Ajay Kumar Behera & Rabindra Narayan Mahapatra & Harish Chandra Das, 2022. "Retracted: An empirical model for Indian senior citizens in traffic management," Growth and Change, Wiley Blackwell, vol. 53(1), pages 35-56, March.
    18. He, Sylvia Y. & Cheung, Yannie H.Y. & Tao, Sui, 2018. "Travel mobility and social participation among older people in a transit metropolis: A socio-spatial-temporal perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 608-626.
    19. Hitomi Nakanishi & John Black, 2015. "Social Sustainability Issues and Older Adults’ Dependence on Automobiles in Low-Density Environments," Sustainability, MDPI, vol. 7(6), pages 1-21, June.
    20. Shaer, Amin & Haghshenas, Hossein, 2021. "Evaluating the effects of the COVID-19 outbreak on the older adults’ travel mode choices," Transport Policy, Elsevier, vol. 112(C), pages 162-172.

    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:jsusta:v:13:y:2021:i:6:p:3025-:d:514204. 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.