A Study on Pedestrians’ Satisfaction and Preferences for Green Patterns according to the Sidewalk Width Using VR: The Case of Seoul, South Korea

Saekyung Park and Youngsang Kwon ()
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Saekyung Park: Department of Civil and Environmental Engineering, Seoul National University, Seoul 08826, Republic of Korea
Youngsang Kwon: Department of Civil and Environmental Engineering, Seoul National University, Seoul 08826, Republic of Korea

Land, 2023, vol. 12, issue 3, 1-16

Abstract: Pedestrian-friendly cities are gaining traction worldwide. This study focused on sidewalk width and green space designs that comprise the walking environment. This study examined uniform planting patterns made without considering the width of the sidewalk and derived an appropriate green area pattern created according to the width of the sidewalk. We conducted a survey using virtual reality, satisfaction and preference review, and multilinear regression analysis. The results showed that ensuring safety through planting on a narrow sidewalk with a width of less than 3 m and 3 m to 5 m had a higher effect on satisfaction, while places with sufficient shade environments had an effect on overall satisfaction for a sidewalk width of 5 m to 8 m or more. The green spots were not quite preferred; on the contrary, there was a popular opinion that many green spots felt stuffy. This study is meaningful in that it identified the reason for appropriate planting plans, according to the width of the sidewalk, by applying the changing traffic paradigm, and conducted the study from the perspective of pedestrians. In addition, this study demonstrated the possibility of using virtual reality in the planning of smart cities, by applying a new research methodology using VR to visualize tasks that are difficult to perform in reality.

Keywords: virtual reality; pedestrian environment; green space; sidewalk width; pedestrian satisfaction; planting preference; multilinear regression analysis; t -test analysis; 360 camera; green pattern (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2023
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