IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i21p9418-d1509969.html
   My bibliography  Save this article

Investigating Factors Influencing the Selection of Micro-Mobility in a Tourist City: Focus on Jeju City

Author

Listed:
  • Hyunmin Kang

    (Stanford Center at the Incheon Global Campus, Stanford University, 119, Songdomunhwa-ro, Yeonsu-gu, Incheon 21985, Republic of Korea)

  • Heejung Yim

    (Stanford Center at the Incheon Global Campus, Stanford University, 119, Songdomunhwa-ro, Yeonsu-gu, Incheon 21985, Republic of Korea)

  • Seoyoung Kim

    (Stanford Center at the Incheon Global Campus, Stanford University, 119, Songdomunhwa-ro, Yeonsu-gu, Incheon 21985, Republic of Korea)

  • Okkeun Lee

    (Department of Civil and Environmental Engineering, Stanford University, Stanford, CA 94305, USA)

  • Hyochang Kim

    (Stanford Center at the Incheon Global Campus, Stanford University, 119, Songdomunhwa-ro, Yeonsu-gu, Incheon 21985, Republic of Korea)

Abstract

This study provides an analysis of micro-mobility use in Jeju City, focusing on how individual choices between e-bikes, e-scooters, and e-motorcycles are influenced by a combination of personal, environmental, and contextual factors. Drawing on data from a local micro-mobility provider from April to December 2022, the research employs multinomial logistic regression to examine the impact of various determinants on the selection of micro-mobility options. The results reveal unique findings, with significant variations in mode choice correlating with gender, age, and region. Also, usage time of micro-mobility emerged as a crucial determinant, suggesting a relationship between trip length and selected mobility. Additionally, environmental variables, particularly temperature, were found to substantially impact users’ choices, reflecting the sensitivity of micro-mobility demand to weather fluctuations. Insights from this study suggest the importance of integrating responsive service design for micro-mobility that addresses the multifaceted needs of users in tourist cities, emphasizing environmental considerations.

Suggested Citation

  • Hyunmin Kang & Heejung Yim & Seoyoung Kim & Okkeun Lee & Hyochang Kim, 2024. "Investigating Factors Influencing the Selection of Micro-Mobility in a Tourist City: Focus on Jeju City," Sustainability, MDPI, vol. 16(21), pages 1-16, October.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:21:p:9418-:d:1509969
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/21/9418/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/21/9418/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Stefania Boglietti & Benedetto Barabino & Giulio Maternini, 2021. "Survey on e-Powered Micro Personal Mobility Vehicles: Exploring Current Issues towards Future Developments," Sustainability, MDPI, vol. 13(7), pages 1-34, March.
    2. Boniphace Kutela & Norris Novat & Emmanuel Kofi Adanu & Emmanuel Kidando & Neema Langa, 2022. "Analysis of residents’ stated preferences of shared micro-mobility devices using regression-text mining approach," Transportation Planning and Technology, Taylor & Francis Journals, vol. 45(2), pages 159-178, February.
    3. Kyle Gebhart & Robert Noland, 2014. "The impact of weather conditions on bikeshare trips in Washington, DC," Transportation, Springer, vol. 41(6), pages 1205-1225, November.
    4. Kim, Kyoungok, 2018. "Investigation on the effects of weather and calendar events on bike-sharing according to the trip patterns of bike rentals of stations," Journal of Transport Geography, Elsevier, vol. 66(C), pages 309-320.
    5. Jongsik Yu & Kyeongheum Lee & Antonio Ariza-Montes & Alejandro Vega-Muñoz & Heesup Han, 2021. "How Do Air Quality Issues Caused by Particulate Matter Affect Consumers’ Emotional Response to Tourism Destinations and Willingness to Visit?," IJERPH, MDPI, vol. 18(19), pages 1-13, October.
    6. Caulfield, Brian & O'Mahony, Margaret & Brazil, William & Weldon, Peter, 2017. "Examining usage patterns of a bike-sharing scheme in a medium sized city," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 152-161.
    7. van Kuijk, Roy J. & de Almeida Correia, Gonçalo Homem & van Oort, Niels & van Arem, Bart, 2022. "Preferences for first and last mile shared mobility between stops and activity locations: A case study of local public transport users in Utrecht, the Netherlands," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 285-306.
    Full references (including those not matched with items on IDEAS)

    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. Wu, Chunliang & Kim, Inhi, 2020. "Analyzing the structural properties of bike-sharing networks: Evidence from the United States, Canada, and China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 140(C), pages 52-71.
    2. Hyungkyoo Kim, 2020. "Seasonal Impacts of Particulate Matter Levels on Bike Sharing in Seoul, South Korea," IJERPH, MDPI, vol. 17(11), pages 1-17, June.
    3. Zhou, Xiaolu & Wang, Mingshu & Li, Dongying, 2019. "Bike-sharing or taxi? Modeling the choices of travel mode in Chicago using machine learning," Journal of Transport Geography, Elsevier, vol. 79(C), pages 1-1.
    4. Sebastian Rühmann & Stephan Leible & Tom Lewandowski, 2024. "Interpretable Bike-Sharing Activity Prediction with a Temporal Fusion Transformer to Unveil Influential Factors: A Case Study in Hamburg, Germany," Sustainability, MDPI, vol. 16(8), pages 1-32, April.
    5. Li, Shaoying & Zhuang, Caigang & Tan, Zhangzhi & Gao, Feng & Lai, Zhipeng & Wu, Zhifeng, 2021. "Inferring the trip purposes and uncovering spatio-temporal activity patterns from dockless shared bike dataset in Shenzhen, China," Journal of Transport Geography, Elsevier, vol. 91(C).
    6. Kumar Dey, Bibhas & Anowar, Sabreena & Eluru, Naveen, 2021. "A framework for estimating bikeshare origin destination flows using a multiple discrete continuous system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 144(C), pages 119-133.
    7. Xue, Mengtian & Zhang, Bin & Chen, Siyuan & Zhao, Yuandong & Wang, Zhaohua, 2024. "How does extreme temperature affect shared travel? Evidence from bike-sharing order flow in China," Journal of Transport Geography, Elsevier, vol. 118(C).
    8. Xiaofeng Li & Yao-Jan Wu & Alireza Khani, 2022. "Investigating a small-sized bike-sharing system’s impact on transit usage: a synthetic control analysis in Tucson, Arizona," Public Transport, Springer, vol. 14(2), pages 441-458, June.
    9. Bakó, Barna & Isztin, Péter & Berezvai, Zombor & Cseke, Petra Zsuzsanna, 2019. "Infrastruktúra-bővítés világversenyek idején. A Mol Bubi esete a FINA világbajnoksággal [Infrastructural investments for international sports events. Network expansion of the MOL Bubi bicycle-shari," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(1), pages 4-21.
    10. Shahram Heydari & Garyfallos Konstantinoudis & Abdul Wahid Behsoodi, 2021. "Effect of the COVID-19 pandemic on bike-sharing demand and hire time: Evidence from Santander Cycles in London," Papers 2107.11589, arXiv.org.
    11. De Zhao & Ghim Ping Ong & Wei Wang & Wei Zhou, 2021. "Estimating Public Bicycle Trip Characteristics with Consideration of Built Environment Data," Sustainability, MDPI, vol. 13(2), pages 1-13, January.
    12. Suzanne Maas & Paraskevas Nikolaou & Maria Attard & Loukas Dimitriou, 2021. "Heat, Hills and the High Season: A Model-Based Comparative Analysis of Spatio-Temporal Factors Affecting Shared Bicycle Use in Three Southern European Islands," Sustainability, MDPI, vol. 13(6), pages 1-21, March.
    13. Guangnian Xiao & Zihao Wang, 2020. "Empirical Study on Bikesharing Brand Selection in China in the Post-Sharing Era," Sustainability, MDPI, vol. 12(8), pages 1-16, April.
    14. Ross-Perez, Antonio & Walton, Neil & Pinto, Nuno, 2022. "Identifying trip purpose from a dockless bike-sharing system in Manchester," Journal of Transport Geography, Elsevier, vol. 99(C).
    15. Noland, Robert B., 2021. "Scootin’ in the rain: Does weather affect micromobility?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 149(C), pages 114-123.
    16. Wang, Haoyun & Noland, Robert B., 2021. "Bikeshare and subway ridership changes during the COVID-19 pandemic in New York City," Transport Policy, Elsevier, vol. 106(C), pages 262-270.
    17. Morton, Craig, 2020. "The demand for cycle sharing: Examining the links between weather conditions, air quality levels, and cycling demand for regular and casual users," Journal of Transport Geography, Elsevier, vol. 88(C).
    18. Choi, Seung Jun & Jiao, Junfeng & Lee, Hye Kyung & Farahi, Arya, 2023. "Combatting the mismatch: Modeling bike-sharing rental and return machine learning classification forecast in Seoul, South Korea," Journal of Transport Geography, Elsevier, vol. 109(C).
    19. Zhao, De & Ong, Ghim Ping & Wang, Wei & Hu, Xiao Jian, 2019. "Effect of built environment on shared bicycle reallocation: A case study on Nanjing, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 128(C), pages 73-88.
    20. Younes, Hannah & Zou, Zhenpeng & Wu, Jiahui & Baiocchi, Giovanni, 2020. "Comparing the Temporal Determinants of Dockless Scooter-share and Station-based Bike-share in Washington, D.C," Transportation Research Part A: Policy and Practice, Elsevier, vol. 134(C), pages 308-320.

    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:16:y:2024:i:21:p:9418-:d:1509969. 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.