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

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  • 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
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    References listed on IDEAS

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    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. 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.
    3. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    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.
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