IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i12p7459-d841581.html
   My bibliography  Save this article

Application of EMGB to Study Impacts of Public Green Space on Active Transport Behavior: Evidence from South Korea

Author

Listed:
  • Myung Ja Kim

    (The College of Hotel & Tourism Management, Kyung Hee University, Seoul 02447, Korea)

  • C. Michael Hall

    (The College of Hotel & Tourism Management, Kyung Hee University, Seoul 02447, Korea
    Department of Management, Marketing and Entrepreneurship, University of Canterbury, Christchurch 8140, New Zealand
    Geography Research Unit, University of Oulu, 90014 Oulu, Finland
    Ekonomihögskolan, Linnéuniversitet, Universitetskajen, Landgången 6, 39182 Kalmar, Sweden)

Abstract

Public green spaces (e.g., parks, green trails, greenways) and motivations to engage in active transport are essential for encouraging walking and cycling. However, how these key factors influence walker and cyclist behavior is potentially being increasingly influenced by the use of smart apps, as they become more ubiquitous in everyday practices. To fill this research gap, this work creates and tests a theoretically integrated study framework grounded in an extended model of goal-directed behavior, including public green space and motivation with perceived usefulness of smart apps. In order to accomplish the purpose of this study, we conducted an online survey of Korean walkers ( n = 325) and cyclists ( n = 326) between 10 and 25 July 2021 and applied partial least squares, structural equation, and multi-group analysis to validate the research model. Results revealed that active transport users’ awareness of public green space positively influences attitude toward (γ = 0.163), as well as behavioral intention of (γ = 0.159), walking and cycling. Additionally, motivation (extrinsic and intrinsic) greatly influences attitude (γ = 0.539) and behavioral intention (γ = 0.535). Subjective norms (γ = 0.137) and positive (γ = 0.466) and negative anticipated emotions (γ = 0.225) have a significant impact on the desire that leads to behavioral intention. High and low perceived smart app usefulness also significantly moderates between public green space and attitude ( t -value = 25.705), public green space and behavioral intention ( t -value = 25.726), motivation and attitude ( t -value = −25.561), and motivation and behavioral intention ( t -value = −15.812). Consequently, the findings are useful to academics and practitioners by providing new knowledge and insights.

Suggested Citation

  • Myung Ja Kim & C. Michael Hall, 2022. "Application of EMGB to Study Impacts of Public Green Space on Active Transport Behavior: Evidence from South Korea," IJERPH, MDPI, vol. 19(12), pages 1-27, June.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:12:p:7459-:d:841581
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/12/7459/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/12/7459/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Manaugh, Kevin & El-Geneidy, Ahmed M., 2013. "Does distance matter? Exploring the links among values, motivations, home location, and satisfaction in walking trips," Transportation Research Part A: Policy and Practice, Elsevier, vol. 50(C), pages 198-208.
    2. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    3. Eric Laurier & Barry Brown & Moira McGregor, 2016. "Mediated Pedestrian Mobility: Walking and the Map App," Mobilities, Taylor & Francis Journals, vol. 11(1), pages 117-134, February.
    4. Dorota Kleszczewska & Joanna Mazur & Jens Bucksch & Anna Dzielska & Catherina Brindley & Agnieszka Michalska, 2020. "Active Transport to School May Reduce Psychosomatic Symptoms in School-Aged Children: Data from Nine Countries," IJERPH, MDPI, vol. 17(23), pages 1-12, November.
    5. Holger Möller & Fiona Haigh & Rema Hayek & Lennert Veerman, 2020. "What Is the Best Practice Method for Quantifying the Health and Economic Benefits of Active Transport?," IJERPH, MDPI, vol. 17(17), pages 1-16, August.
    6. Julia Rehling & Christiane Bunge & Julia Waldhauer & André Conrad, 2021. "Socioeconomic Differences in Walking Time of Children and Adolescents to Public Green Spaces in Urban Areas—Results of the German Environmental Survey (2014–2017)," IJERPH, MDPI, vol. 18(5), pages 1-12, February.
    7. Muhammad Mohiuddin & Abdullah Al Mamun & Fazal Ali Syed & Muhammad Mehedi Masud & Zhan Su, 2018. "Environmental Knowledge, Awareness, and Business School Students’ Intentions to Purchase Green Vehicles in Emerging Countries," Sustainability, MDPI, vol. 10(5), pages 1-18, May.
    8. Wynne W. Chin & Barbara L. Marcolin & Peter R. Newsted, 2003. "A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study," Information Systems Research, INFORMS, vol. 14(2), pages 189-217, June.
    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. Riffat Ara Zannat Tama & Md Mahmudul Hoque & Ying Liu & Mohammad Jahangir Alam & Mark Yu, 2023. "An Application of Partial Least Squares Structural Equation Modeling (PLS-SEM) to Examining Farmers’ Behavioral Attitude and Intention towards Conservation Agriculture in Bangladesh," Agriculture, MDPI, vol. 13(2), pages 1-22, February.
    2. Abdullah Al Mamun & Syed Ali Fazal & Muhammad Mehedi Masud & Ganeshsree Selvachandran & Noor Raihani Zainol & Quek Shio Gai, 2020. "The Underlying Drivers of Underprivileged Households’ Intention and Behavior towards Community Forestry Management: A Study Using Structural Equation Modelling and Artificial Neural Network Approach," Sustainability, MDPI, vol. 12(18), pages 1-26, September.
    3. Yu Hao & Yingting Wang & Qiuwei Wu & Shiwei Sun & Weilu Wang & Menglin Cui, 2020. "What affects residents' participation in the circular economy for sustainable development? Evidence from China," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(5), pages 1251-1268, September.
    4. Lingling Gao & Kerem Aksel Waechter, 0. "Examining the role of initial trust in user adoption of mobile payment services: an empirical investigation," Information Systems Frontiers, Springer, vol. 0, pages 1-24.
    5. Mukhlis Nahriri Bastam & Muhamad Razuhanafi Mat Yazid & Muhamad Nazri Borhan, 2022. "An Active School Transport Instrument to Measure Parental Intentions: The Case of Indonesia," Mathematics, MDPI, vol. 10(20), pages 1-17, October.
    6. Wu, Ing-Long & Chen, Kuei-Wan & Chiu, Mai-Lun, 2016. "Defining key drivers of online impulse purchasing: A perspective of both impulse shoppers and system users," International Journal of Information Management, Elsevier, vol. 36(3), pages 284-296.
    7. Zhijian Bai & Yang Zhang, 2021. "Sustainability of Ski Tourism in China: An Integrated Model of Skiing Tourists’ Willingness to Pay for Environmental Protection," Sustainability, MDPI, vol. 13(16), pages 1-16, August.
    8. Dongming Wu & Liukai Yu & Qianqian Zhang & Yangyang Jiao & Yuhe Wu, 2021. "Materialism, Ecological Consciousness and Purchasing Intention of Electric Vehicles: An Empirical Analysis among Chinese Consumers," Sustainability, MDPI, vol. 13(5), pages 1-19, March.
    9. Uba, Chijioke Dike & Chatzidakis, Andreas, 2016. "Understanding engagement and disengagement from pro-environmental behaviour: The role of neutralization and affirmation techniques in maintaining persistence in and desistance from car use," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 278-294.
    10. Hamari, Juho & Koivisto, Jonna, 2015. "Why do people use gamification services?," International Journal of Information Management, Elsevier, vol. 35(4), pages 419-431.
    11. Jiacheng, Wei & Lu, Liu & Francesco, Calabrese A., 2010. "A cognitive model of intra-organizational knowledge-sharing motivations in the view of cross-culture," International Journal of Information Management, Elsevier, vol. 30(3), pages 220-230.
    12. Xiaolin Lin & Mauricio Featherman & Stoney L. Brooks & Nick Hajli, 2019. "Exploring Gender Differences in Online Consumer Purchase Decision Making: An Online Product Presentation Perspective," Information Systems Frontiers, Springer, vol. 21(5), pages 1187-1201, October.
    13. Taneja, Shilpa & Ali, Liaqat, 2021. "Determinants of customers’ intentions towards environmentally sustainable banking: Testing the structural model," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    14. Wayne H. Stewart Jr. & Ruth C. May & Donna E. Ledgerwood, 2015. "Do You Know What I Know? Intent to Share Knowledge in the US and Ukraine," Management International Review, Springer, vol. 55(6), pages 737-773, December.
    15. Loureiro, Sandra Maria Correia & Araújo, Cristiano Mineiro Branco de, 2014. "Luxury values and experience as drivers for consumers to recommend and pay more," Journal of Retailing and Consumer Services, Elsevier, vol. 21(3), pages 394-400.
    16. Arumugam Seetharaman & Saurabh Singhal & Pankaj Galdhar & John Rudolph Raj & A. S. Saravanan, 2016. "Customers’ Expectations for Next Generation Internet Banking," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 15(01), pages 1-28, March.
    17. Krishna Moorthy & Aufa Amalina Kamarudin & Lee Xin & Lim Min Hui & Lim Thong Way & Puah Sien Fang & Wong Carmen, 2021. "Green packaging purchase behaviour: a study on Malaysian consumers," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(10), pages 15391-15412, October.
    18. De Vos, Jonas & Witlox, Frank, 2017. "Travel satisfaction revisited. On the pivotal role of travel satisfaction in conceptualising a travel behaviour process," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 364-373.
    19. Paul Benjamin Lowry & Jun Zhang & Chuang Wang & Mikko Siponen, 2016. "Why Do Adults Engage in Cyberbullying on Social Media? An Integration of Online Disinhibition and Deindividuation Effects with the Social Structure and Social Learning Model," Information Systems Research, INFORMS, vol. 27(4), pages 962-986, December.
    20. Xi Chen & Chunlan Jiao & Ran Ji & Yu Li, 2021. "Examining Customer Motivation and Its Impact on Customer Engagement Behavior in Social Media: The Mediating Effect of Brand Experience," SAGE Open, , vol. 11(4), pages 21582440211, October.

    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:19:y:2022:i:12:p:7459-:d:841581. 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.