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

Myung Ja Kim and C. Michael Hall
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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

IJERPH, 2022, vol. 19, issue 12, 1-27

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.

Keywords: active transport; walking/cycling; public green space; motivation theory; goal-directed behavior; smart app (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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