23 research outputs found

    A Study on the Satisfaction and Preference of Green Patterns in the Walking Space of Seoul through VR Analysis

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ๊ฑด์„คํ™˜๊ฒฝ๊ณตํ•™๋ถ€, 2022. 8. ๊ถŒ์˜์ƒ.์‚ฌํšŒ์  ์ธ์‹ ๋ณ€ํ™”์— ๋”ฐ๋ผ ์ž๋™์ฐจ ์ค‘์‹ฌ์—์„œ ๋ณดํ–‰์ž ์ค‘์‹ฌ์œผ๋กœ์˜ ํ™˜๊ฒฝ์„ ์กฐ์„ฑํ•˜๋ฉด์„œ ์‹œ๋ฏผ๋“ค์˜ ์‚ถ์˜ ์งˆ์„ ๋†’์ด๋Š” ๋ณดํ–‰ํ™˜๊ฒฝ ์กฐ์„ฑ์ด ์ค‘์š”ํ•ด์ง€๊ณ  ์žˆ๋‹ค. ์ฐจ๋กœ๋ฅผ ์ค„์ด๊ณ  ๋ณด๋„ํญ์„ ๋Š˜๋ฆฌ๋ฉด์„œ ๋ณดํ–‰๊ณต๊ฐ„์„ ๊ตฌ์„ฑํ•˜๋Š” ๋…น์ง€๋„ ํ•จ๊ป˜ ์ฆ๊ฐ€๋˜๊ณ  ์žˆ๋‹ค. ํ•˜์ง€๋งŒ ์„œ์šธ์‹œ ๋ณดํ–‰ํ™˜๊ฒฝ ํ˜„ํ™ฉ์„ ์‚ดํŽด๋ณด๋ฉด ๋ณด๋„์˜ ๋„ˆ๋น„์™€๋Š” ์ƒ๊ด€์—†์ด ์ผ๋ฅ ์ ์ธ ์‹์žฌ๊ฐ€ ์ด๋ฃจ์–ด์ ธ์žˆ์–ด ๋ณดํ–‰์— ๋ถˆํŽธํ•จ์„ ์ดˆ๋ž˜ํ•˜๋Š” ๊ฒƒ์œผ๋กœ ํŒ๋‹จํ•˜์˜€๋‹ค. ๋”ฐ๋ผ์„œ ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๋ณด๋„ํญ์„ ๊ธฐ์ค€์œผ๋กœ ์กฐ์„ฑํ•  ๋…น์ง€ํŒจํ„ด์„ ๊ตฌ๋ถ„ํ•  ํ•„์š”์„ฑ๊ณผ ํ•จ๊ป˜ ๋…น์ง€ํŒจํ„ด ๋„์ถœ์„ ๋ชฉ์ ์œผ๋กœ ๋‘์—ˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋ฅผ ์ง„ํ–‰ํ•˜๊ธฐ์— ์•ž์„œ ๋ณดํ–‰๊ณต๊ฐ„, ๋…น์ง€ํŒจํ„ด, ๊ทธ๋ฆฌ๊ณ  ๊ด€๋ จ ๋ฐฉ๋ฒ•๋ก ์„ ํ™œ์šฉํ•œ ์—ฐ๊ตฌ์˜ ๋™ํ–ฅ์„ ์‚ดํŽด๋ณด์•˜๋‹ค. ๊ทธ ๊ฒฐ๊ณผ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์ฒซ์งธ, ๋ณดํ–‰๊ณต๊ฐ„์„ ์ฃผ๋กœ ๋‹ค๋ฃฌ ์—ฐ๊ตฌ๋“ค์˜ ๊ฒฐ๊ณผ์—์„œ ๋…น์ง€๊ฐ€ ๋ณดํ–‰๋งŒ์กฑ๋„์— ๊ธ์ •์ ์ธ ์˜ํ–ฅ์„ ๋ฏธ์นœ๋‹ค๋Š” ๊ฒฐ๊ณผ์™€ ์พŒ์ ์„ฑ, ์œ„ํ—˜์„ฑ ๋“ฑ์ด ๋ณดํ–‰๋งŒ์กฑ๋„์˜ ์˜ํ–ฅ์š”์ธ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ด์ฒ˜๋Ÿผ ๋ณดํ–‰๊ณต๊ฐ„ ๋‚ด ๋…น์ง€์˜ ์ค‘์š”์„ฑ์„ ๋ฐํ˜€๋‚ธ ๋…ผ๋ฌธ๋“ค์ด ๋‹ค์ˆ˜์˜€๋‹ค. ๋‘˜์งธ, ๋…น์ง€ํŒจํ„ด์„ ์‚ดํŽด๋ณธ ์—ฐ๊ตฌ๋“ค์€ ์ฃผ๋กœ ์šฉ๋„์ง€์—ญ์„ ๊ธฐ์ค€์œผ๋กœ ์ง„ํ–‰ํ•˜์˜€๋‹ค. ์ฃผ๊ฑฐ์ง€์—ญ๊ณผ ์—…๋ฌด์ง€์—ญ์„ ๋‹ค๋ฃฌ ์—ฐ๊ตฌ๋“ค์ด ๋‹ค์ˆ˜์˜€์œผ๋ฉฐ, ๊ตฌ์ฒด์ ์ธ ๋…น์ง€๊ตฌ์กฐ๋ณด๋‹ค ๋…น์ง€์œจ๊ณผ ์‹์žฌ ์ˆ˜์ข…์˜ ๋น„์œจ์„ ๋„์ถœํ•˜์˜€๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ, ๋ณธ ์—ฐ๊ตฌ์—์„œ ๋งŒ์กฑ๋„์™€ ์„ ํ˜ธ๋„, ๊ทธ๋ฆฌ๊ณ  VR ๋ถ„์„์„ ์ˆ˜ํ–‰ํ•˜๊ณ ์ž ๊ฐ™์€ ๋ฐฉ๋ฒ•๋ก ์„ ํ™œ์šฉํ•œ ๋…ผ๋ฌธ๋“ค์„ ์‚ดํŽด๋ณด์•˜๋‹ค. ๊ทธ ๊ฒฐ๊ณผ, ๋Œ€ํ‘œํ•˜๋Š” ์ง€ํ‘œ๋“ค์„ ๊ธฐ์ค€์œผ๋กœ ๋งŒ์กฑ๋„์™€ ์„ ํ˜ธ๋„ ์กฐ์‚ฌ๋ฅผ ํŠน์ • ์ง‘๋‹จ์„ ์„ค์ •ํ•˜์—ฌ ์ˆ˜ํ–‰ํ•˜์—ฌ ๊ฒฐ๊ณผ๊ฐ’์˜ ์˜ํ–ฅ์ธ์ž๋“ค์„ ๋„์ถœํ•˜์˜€๋‹ค. ๋˜ํ•œ, VR ๊ด€๋ จํ•ด์„œ๋Š” ์•ž์œผ๋กœ VR์˜ ๊ฐ€๋Šฅ์„ฑ์„ ๋‹ค๋ฃฌ ์—ฐ๊ตฌ๋“ค์ด ๋‹ค์ˆ˜์˜€๋‹ค. ํ•˜์ง€๋งŒ ์ตœ๊ทผ ์„œ์šธ์‹œ ์ •์ฑ…์˜ ๋™ํ–ฅ์— ๋”ฐ๋ผ ์ง์ ‘์ ์œผ๋กœ ๋ณด๋„ํญ์— ๋”ฐ๋ฅธ ๋…น์ง€๊ตฌ์กฐ๋ฅผ ์ด์šฉ์ž ๊ด€์ ์—์„œ ๋„์ถœํ•œ ์—ฐ๊ตฌ๋Š” ์—†์—ˆ์œผ๋ฉฐ, ๊ตญ๋‚ด ์—ฐ๊ตฌ์—์„œ๋Š” VR ์žฅ๋น„๋ฅผ ํ™œ์šฉํ•œ ์—ฐ๊ตฌ๋„ ๋ถ€์กฑํ•œ ์‹ค์ •์ด๋‹ค. ๋”ฐ๋ผ์„œ, ๋ณธ ์—ฐ๊ตฌ๋Š” ์—ฐ๊ตฌ ๋‚ด์šฉ์ ์œผ๋กœ, ๋ฐฉ๋ฒ•๋ก ์ ์œผ๋กœ ๋ชจ๋‘ ๊ธฐ์กด ์—ฐ๊ตฌ๋“ค๊ณผ ์ฐจ๋ณ„์„ฑ์„ ์ง€๋‹Œ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ๋ชฉ์ ์„ ๋‹ฌ์„ฑํ•˜๊ธฐ ์œ„ํ•ด ์„œ์šธ์‹œ์˜ ๋Œ€ํ‘œ ๋ณดํ–‰๊ธธ์ธ โ€˜์„œ์šธ ๋„์‹ฌ๋ณดํ–‰๊ธธโ€™์˜ โ€˜์ด์Œ๊ธธโ€™์„ ๋Œ€์ƒ์œผ๋กœ 8๊ฐ€์ง€ ์ฃผ์š” ๊ฐ€๋กœ๋ฅผ ์„ ์ •ํ•˜์—ฌ ์ด๋ก ์ ์ธ ์—ฐ๊ตฌ์™€ ์‹ค์ฆ์—ฐ๊ตฌ๋ฅผ ๋ณ‘ํ–‰ํ•˜์˜€๋‹ค. ์ด๋ก ์  ์—ฐ๊ตฌ์—์„œ๋Š” ๋ณดํ–‰๊ณต๊ฐ„, ๋…น์ง€ํŒจํ„ด, ๊ทธ๋ฆฌ๊ณ  ๋ณธ ์—ฐ๊ตฌ์˜ ๋ฐฉ๋ฒ•๋ก ์ธ VR์— ๊ด€ํ•œ ๋ณด๊ณ ์„œ๋ฅผ ํฌํ•จํ•œ ์„œ์ ๊ณผ ๋…ผ๋ฌธ ์ž๋ฃŒ๋ฅผ ์ด์šฉํ•˜์—ฌ ์ด๋ก ์  ๊ณ ์ฐฐ์„ ์‹ค์‹œํ•˜์˜€๋‹ค. ์‹ค์ฆ์—ฐ๊ตฌ๋Š” ํ˜„ํ™ฉ๋ถ„์„์„ ํฌํ•จํ•˜์—ฌ ์‹ ๋ขฐ๋„ ๋ถ„์„๊ณผ ๋…๋ฆฝํ‘œ๋ณธ t๊ฒ€์ •, ๋‹ค์ค‘ํšŒ๊ท€๋ถ„์„์„ ์‹ค์‹œํ•˜์˜€๋‹ค. ํ˜„์žฅ์กฐ์‚ฌ ์—ฐ๊ตฌ์—์„œ๋Š” ์—ฐ๊ตฌ๋Œ€์ƒ์ง€๋ฅผ ๋ฐฉ๋ฌธํ•˜์—ฌ ํ˜„์žฌ ๋ณดํ–‰๊ณต๊ฐ„์—์„œ์˜ ๋…น์ง€ํŒจํ„ด ๋™ํ–ฅ์„ ์‚ดํŽด๋ณด๊ณ  ์‚ฌ์ง„์ดฌ์˜์„ ์‹ค์‹œํ•˜์˜€๋‹ค. ์‹ค์ฆ์—ฐ๊ตฌ ๋Œ€์ƒ์€ ์—ฐ๊ตฌ ๋Œ€์ƒ์ง€์˜ ๋ฐฉ๋ฌธ ๋น„์œจ์ด 60% ์ด์ƒ์œผ๋กœ ๋งŒ 18์„ธ ์ด์ƒ์˜ ๊ฑฐ๋ฆฌ ๋ณดํ–‰ ๊ฒฝํ—˜์ด ์žˆ๋Š” ์ž๋ฅผ ๋Œ€์ƒ์œผ๋กœ ์ด๋ฃจ์–ด์กŒ์œผ๋ฉฐ, ์ด 32๋ช…์˜ ์ž๋ฃŒ๊ฐ€ ์ˆ˜์ง‘๋˜์—ˆ๋‹ค. ๋ถ„์„๊ฒฐ๊ณผ๋ฅผ ์š”์•ฝํ•˜๋ฉด ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์ฒซ์งธ, ๋ณด๋„ํญ ๊ธฐ์ค€์œผ๋กœ ๋งŒ์กฑ๋„ ๊ฒฐ๊ณผ๋ฅผ ์ •๋ฆฌํ•œ ๊ฒฐ๊ณผ์ด๋‹ค. 3m ๋ฏธ๋งŒ ๋ณด๋„ํญ์— ๊ฐ€๋กœ์ˆ˜๋ฅผ ์‹์žฌํ•  ๊ฒฝ์šฐ ์œ ํšจ๋ณด๋„ํญ์ด ํ™•๋ณด๋˜์ง€ ์•Š์€ ์ฒญ๊ณ„์ฒœ๋กœ(B)๋ณด๋‹ค ์ˆญ๋ก€๋ฌธ ์•ž ๋ณด๋„(A)์˜ ๋งŒ์กฑ๋„๊ฐ€ ๋” ๋†’์€ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. 3m ์ด์ƒ 5m ๋ฏธ๋งŒ ๋ณด๋„ํญ์—์„œ๋Š” ๊ณตํ†ต์ ์œผ๋กœ ๊ฐ€๋กœ์ˆ˜๊ฐ€ 1์—ด๋กœ ์กฐ์„ฑ๋˜์–ด์žˆ์ง€๋งŒ, ๋‚™์—ฝ์„ฑ ํ™œ์—ฝ ๊ต๋ชฉ์„ ๊ฐ€๋กœ์ˆ˜๋กœ ์กฐ์„ฑํ•œ ๋ˆํ™”๋ฌธ๋กœ(C)๊ฐ€ ์ƒ๋ก์„ฑ ์นจ์—ฝ ๊ต๋ชฉ์„ ๊ฐ€๋กœ์ˆ˜๋กœ ์กฐ์„ฑํ•œ ๋‚จ์‚ฐ์Šคํ€˜์–ด ์•ž ๋ณด๋„(D)๋ณด๋‹ค ๋†’์€ ๋งŒ์กฑ๋„๋ฅผ ๋ณด์˜€๋‹ค. 5m ์ด์ƒ 8m ๋ฏธ๋งŒ ๋ณด๋„ํญ์€ ๋‹ค์ธต์‹์žฌ๊ฐ€ ์ด๋ฃจ์–ด์ง„ ์„ธ์ข…๋Œ€๋กœ ์‚ฌ๋žŒ์ˆฒ๊ธธ-์„œ์šธ์‹œ์ฒญ ๊ตฌ๊ฐ„(E)์˜ ๋งŒ์กฑ๋„๊ฐ€ ๋” ๋†’์•˜์œผ๋ฉฐ, 8m ์ด์ƒ ๋ณด๋„ํญ์—์„œ๋„ ๋‹ค์ธต์‹์žฌ๊ฐ€ ์ด๋ฃจ์–ด์ง„ ์„ธ์ข…๋Œ€๋กœ ์‚ฌ๋žŒ์ˆฒ๊ธธ-๊ด‘ํ™”๋ฌธ์—ญ ๊ตฌ๊ฐ„(F)์ด ๋” ๋†’์€ ๋งŒ์กฑ๋„๋ฅผ ๋ณด์˜€๋‹ค. ๋‘˜์งธ, ๋งŒ์กฑ๋„ ๊ฒฐ๊ณผ๋ฅผ ํ† ๋Œ€๋กœ ํšŒ๊ท€๋ถ„์„์„ ์ˆ˜ํ–‰ํ•œ ๊ฒฐ๊ณผ์ด๋‹ค. 3m ๋ฏธ๋งŒ ๋ณด๋„ํญ์€ ์œ ํšจ๋ณด๋„ํญ ํ™•๋ณด๋ฅผ ํฌํ•จํ•˜์—ฌ ์•ˆ์ „์„ฑ์— ๋Œ€ํ•œ ๊ณ ๋ ค๊ฐ€ ์ข…ํ•ฉ ๋งŒ์กฑ๋„์— ๋งŽ์€ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ์œผ๋ฉฐ, 3m ์ด์ƒ ๋ณด๋„ํญ์—์„œ๋Š” ์•ˆ์ „์„ฑ๋ณด๋‹ค ๋…น์ง€์˜ ์กฐํ™”๋กœ์šด ์ •๋„, ์ถฉ๋ถ„ํ•œ ์Œ์˜ํ™˜๊ฒฝ ์กฐ์„ฑ๊ณผ ๊ฐ™์€ ์พŒ์ ์„ฑ๊ณผ ์‹ฌ๋ฏธ์„ฑ์— ๋Œ€ํ•œ ๊ณ ๋ ค๊ฐ€ ์ข…ํ•ฉ ๋งŒ์กฑ๋„์— ๋งŽ์€ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ฆ‰, ๋„“์€ ๋ณด๋„ํญ์„ ๊ฐ€์ง„ ๋ณดํ–‰ํ™˜๊ฒฝ์—์„œ ๋…น์ง€์˜ ๊ตฌ์„ฑ์ด ๋ณด๋‹ค ๋‹ค์ธต์ ์œผ๋กœ ์ด๋ฃจ์–ด์ ธ์•ผํ•จ์„ ํ™•์ธํ•˜์˜€๋‹ค. ์…‹์งธ, ๋ณด๋„ํญ๋ณ„ ๋…น์ง€ํŒจํ„ด ์„ ํ˜ธ๋„ ๊ฒฐ๊ณผ์ด๋‹ค. โ€˜3m ๋ฏธ๋งŒ ๋ณด๋„ํญโ€™์—์„œ๋Š” โ€˜1์—ด ๋ ๋…น์ง€โ€™๊ฐ€ 3.69์ ์œผ๋กœ ๊ฐ€์žฅ ๋†’๊ฒŒ ๋‚˜ํƒ€๋‚ฌ์œผ๋ฉฐ, โ€˜3m ์ด์ƒ 5m ๋ฏธ๋งŒ ๋ณด๋„ํญโ€™์€ โ€˜1์—ด ๊ฐ€๋กœ์ˆ˜+1์—ด ๋ ๋…น์ง€โ€™๊ฐ€ 3.84์ ์œผ๋กœ ๊ฐ€์žฅ ์„ ํ˜ธํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. โ€˜5m ์ด์ƒ 8m ๋ฏธ๋งŒ ๋ณด๋„ํญโ€™์€ โ€˜2์—ด ๊ฐ€๋กœ์ˆ˜+1์—ด ๋ ๋…น์ง€โ€™๊ฐ€ 3.88์ ์œผ๋กœ ๊ฐ€์žฅ ๋†’๊ฒŒ ๋‚˜ํƒ€๋‚ฌ์œผ๋ฉฐ, โ€˜8m ์ด์ƒ ๋ณด๋„ํญโ€™์€ โ€˜2์—ด ๊ฐ€๋กœ์ˆ˜+1์—ด ๊ฐ€๋กœ์ˆ˜โ€™๊ฐ€ 3.91์ ์œผ๋กœ ๊ฐ€์žฅ ๋†’๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ, ๋ฐฉ๋ฌธ์—ฌ๋ถ€๋ฅผ ๊ธฐ์ค€์œผ๋กœ ๋‘ ์ง‘๋‹จ์œผ๋กœ VR์„ ํ™œ์šฉํ•œ ์„ ํ˜ธ๋„ ์กฐ์‚ฌ ๊ฒฐ๊ณผ์˜ ์ฐจ์ด๋ฅผ ๋ถ„์„ํ•œ ๊ฒฐ๊ณผ, ์ฐจ์ด๊ฐ€ ์—†๋Š” ๊ฒƒ์œผ๋กœ ํ™•์ธ๋˜์—ˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์ตœ๊ทผ ๋ณ€ํ™”ํ•˜๋Š” ๊ตํ†ต์˜ ํŒจ๋Ÿฌ๋‹ค์ž„์„ ์ ์šฉํ•˜์—ฌ ๋ณด๋„ํญ์— ๋”ฐ๋ผ ๋…น์ง€ํŒจํ„ด์„ ๋‹ค๋ฅด๊ฒŒ ์กฐ์„ฑํ•ด์•ผํ•˜๋Š” ์ด์œ ๋ฅผ ๊ทœ๋ช…ํ•˜๊ณ  ์ด์šฉ์ž ๊ด€์ ์—์„œ ์•Œ๋งž์€ ๋…น์ง€ํŒจํ„ด์„ ๋„์ถœํ•˜์—ฌ ์„œ์šธ์‹œ์—์„œ ์ œ์‹œํ•œ ๋ณด๋„ํญ์— ๋”ฐ๋ฅธ ๊ฐ€๋กœ์ˆ˜๊ตฌ์กฐ๋ชจ๋ธ๊ณผ ๋น„๊ต๋ถ„์„ํ•˜์—ฌ ์ •์ฑ…์  ์‹œ์‚ฌ์ ์„ ๋„์ถœํ–ˆ๋‹ค๋Š” ์ ์—์„œ ์˜์˜๋ฅผ ๊ฐ€์ง„๋‹ค. ๋˜ํ•œ, ์ƒˆ๋กœ์šด ์—ฐ๊ตฌ ๋ฐฉ๋ฒ•๋ก ์ธ โ€˜VR(Virtual Reality)โ€™์„ ์ ์šฉํ•˜์—ฌ ํ˜„์‹ค์—์„œ ์ˆ˜ํ–‰ํ•˜๊ธฐ ์–ด๋ ค์šด ๋…น์ง€ํŒจํ„ด ์กฐ์„ฑ์„ ๊ฐ€์ƒํ˜„์‹ค ์†์—์„œ ์ˆ˜ํ–‰ํ•˜๊ณ  ์‹ค์ œ ๋ฐฉ๋ฌธ์ž์™€ ๋ฏธ๋ฐฉ๋ฌธ์ž๊ฐ„ ๊ฒฐ๊ณผ๊ฐ’์— ์ฐจ์ด๊ฐ€ ์—†๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚˜ โ€˜VRโ€™ ๋ฐฉ๋ฒ•๋ก ์— ๋Œ€ํ•œ ๊ฐ€๋Šฅ์„ฑ์„ ๋ฐํ˜€๋ƒˆ๋‹ค๋Š” ์ ์—์„œ ์˜์˜๋ฅผ ์ง€๋‹Œ๋‹ค. ๋‹ค๋งŒ ๋ณธ ์—ฐ๊ตฌ์—์„œ ๊ณ ๋ คํ•˜์ง€ ์•Š์€ ํ† ์ง€์ด์šฉ ๋ฐ ์ฐจ๋กœ ๋“ฑ์„ ํฌํ•จํ•œ ์ฃผ๋ณ€ ํ™˜๊ฒฝ์„ ๊ณ ๋ คํ•˜์—ฌ ์—ฐ๊ตฌ๋ฅผ ์ง„ํ–‰ํ•œ๋‹ค๋ฉด ๋ณด๋‹ค ์ผ๋ฐ˜ํ™”ํ•  ์ˆ˜ ์žˆ๋Š” ๊ฒฐ๊ณผ ๋„์ถœ์ด ๊ฐ€๋Šฅํ•  ๊ฒƒ์œผ๋กœ ๋ณด์ธ๋‹ค.As societal perceptions change, it becomes increasingly important to create a high-quality pedestrian environment while creating a pedestrian-centric environment in the car. As lanes are reduced and sidewalks are widened, the amount of green space that constitutes pedestrian spaces is also increasing. However, looking at the current state of the pedestrian environment in Seoul, it was judged that the planting was uniform regardless of the width of the sidewalk, causing inconvenience to pedestrians. Therefore, in this study, it is necessary to classify the green pattern to be created according to the width of the sidewalk and the purpose of deriving the green pattern. In order to achieve the purpose of this study, 8 major streets were selected for the โ€˜connection roadโ€™ of the โ€˜Seoul Urban Pedestrian Streetโ€™, a representative pedestrian street in Seoul, and both theoretical and empirical research were conducted. In the field survey, photos were taken by visiting the research site to find out the trend of green patterns in the current walking space. In the theoretical study, a theoretical study was conducted using the materials of books and papers, including reports on the walking space, green pattern, and VR, which are the methodology of this study. The empirical study subjects were those who had more than 18 years of walking experience and had a visit rate of 60% or more, and a total of 32 people were collected. The analysis results are summarized as follows. First, it is the result of summarizing the satisfaction results based on the width of the press. When trees were planted in a place where the sidewalk width was less than 3m, the satisfaction of site A was higher than that of site B, where the effective sidewalk width was not secured. When the sidewalk width is 3m or more and less than 5m, it is common to have street trees lined up in one row. In the case of sidewalk widths of 5m or more and less than 8m, even when the sidewalk width was 8m or more, the satisfaction of site E was high in the case of multi-layer planting, and in the case of multi-layer planting, the satisfaction of site F was higher. Second, it is the result of performing regression analysis based on the satisfaction result. For sidewalks less than 3m wide, safety considerations, including ensuring effective sidewalk width, have a significant impact on overall satisfaction. For sidewalk widths of 3m or more, it is more important to consider comfort and aesthetics such as harmonious greenery and sufficient shade environment rather than safety. It was found that consideration had a significant effect on overall satisfaction. In other words, it was confirmed that the green space composition should be more multi-layered in the pedestrian environment with wide sidewalks. Third, it is the result of preference for green areas by sidewalk width. In โ€˜sidewalk width less than 3mโ€™, โ€˜1 row of shrubsโ€™ showed the highest score with 3.69 points, and for โ€˜3m to less than 5m sidewalk widthโ€™, โ€˜1 row of trees + 1 row of shrubsโ€™ showed the most preference with 3.84 points. For โ€˜sidewalk width of 5m or more and less than 8mโ€™, โ€˜2 rows of trees + 1 row of shrubsโ€™ showed the highest score with 3.88 points. Finally, โ€˜sidewalk width of 8m or moreโ€™ showed the highest score of โ€˜2 rows of trees + 1 row of shrubsโ€™ with 3.91 points. Finally, as a result of the preference survey using VR, it was confirmed that there was no difference as a result of analyzing the difference depending on whether the two groups visited or not. In this study, the reason for creating different green patterns depending on the width of the sidewalk was investigated by applying the recently changing paradigm of traffic, and an appropriate green pattern was derived from the user's point of view and compared with the street. The tree structure model and policy implications according to the sidewalk width suggested by the Seoul Metropolitan Government. It is meaningful in that it was derived. In addition, a new research methodology, โ€˜VR(Virtual Reality)', was applied to create a green pattern that was difficult to perform in reality in virtual reality, and there was no difference between the actual and non-visitor results. It is meaningful in that it reveals the possibility. However, it is thought that more generalizable results can be derived if the study is conducted in consideration of the surrounding environment such as land use and lanes that are not considered in this study.์ œ 1์žฅ ์„œ ๋ก  1 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ์˜ ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉ์  1 1. ์—ฐ๊ตฌ์˜ ๋ฐฐ๊ฒฝ 1 2. ์—ฐ๊ตฌ์˜ ๋ชฉ์  5 ์ œ 2 ์ ˆ ์—ฐ๊ตฌ์˜ ๋ฒ”์œ„ ๋ฐ ๋ฐฉ๋ฒ• 7 1. ์—ฐ๊ตฌ์˜ ๋ฒ”์œ„ 7 2. ์—ฐ๊ตฌ์˜ ๋ฐฉ๋ฒ• 9 3. ์—ฐ๊ตฌ์˜ ํ๋ฆ„ 10 ์ œ 3 ์ ˆ ์„ ํ–‰์—ฐ๊ตฌ ๊ณ ์ฐฐ 13 1. ๋ณดํ–‰๊ณต๊ฐ„ ๊ด€๋ จ ์„ ํ–‰์—ฐ๊ตฌ 13 2. ๋…น์ง€ํŒจํ„ด ๊ด€๋ จ ์„ ํ–‰์—ฐ๊ตฌ 15 3. ๋ฐฉ๋ฒ•๋ก  ๊ด€๋ จ ์„ ํ–‰์—ฐ๊ตฌ 17 4. ์—ฐ๊ตฌ์˜ ์ฐจ๋ณ„์„ฑ ๋ฐ ์˜์˜ 20 ์ œ 2 ์žฅ ์ด๋ก ์  ๊ณ ์ฐฐ 21 ์ œ 1 ์ ˆ ์„œ์šธ์‹œ ๋ณดํ–‰์ •์ฑ… ๊ณ ์ฐฐ 21 1. ๋ณดํ–‰๊ณต๊ฐ„์˜ ๊ฐœ๋… ๋ฐ ๊ด€๋ จ ๋ฒ•์ œ๋„ 21 2. ์„œ์šธ์‹œ ๊ณต๊ณต๊ณต๊ฐ„ ๊ฐ€์ด๋“œ๋ผ์ธ 23 ์ œ 2 ์ ˆ ์‹์žฌ์กฐ์„ฑ ์ด๋ก  25 1. ๊ธฐ๋Šฅ์‹์žฌ 25 2. ๋ณด๋„์˜ ์‹์žฌ์„ค๊ณ„ ๊ธฐ๋ฒ• 28 ์ œ 3 ์ ˆ ์—ฐ๊ตฌ๋Œ€์ƒ์ง€ ์„ ์ • 33 1. ์„œ์šธ ๋„์‹ฌ๋ณดํ–‰๊ธธ 33 2. ์†Œ๊ฒฐ 38 ์ œ 3 ์žฅ ๋ถ„์„์˜ ํ‹€ 39 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ ๋ฌธ์ œ ๋ฐ ๊ฐ€์„ค 39 ์ œ 2 ์ ˆ ๋ถ„์„ ๋ฐฉ๋ฒ• ๋ฐ ํ™œ์šฉ ์ž๋ฃŒ 40 1. ํ˜„ํ™ฉ ๋ถ„์„ 40 2. VR ํ™˜๊ฒฝ ๊ตฌ์ถ• 45 3. VR์„ ํ™œ์šฉํ•œ ๋งŒ์กฑ๋„ ๋ฐ ์„ ํ˜ธ๋„ ๋ถ„์„ 50 ์ œ 4 ์žฅ ๋ถ„์„ ๊ฒฐ๊ณผ 65 ์ œ 1 ์ ˆ ์ž๋ฃŒ ์ˆ˜์ง‘ ๊ฒฐ๊ณผ 65 1. ์‹ ๋ขฐ๋„ ๋ถ„์„ 65 2. ์‚ฌ์ „์งˆ๋ฌธ ๊ฒฐ๊ณผ 65 ์ œ 2 ์ ˆ ๋งŒ์กฑ๋„ ์กฐ์‚ฌ 68 1. ๋งŒ์กฑ๋„ ์กฐ์‚ฌ ๊ฒฐ๊ณผ 68 2. ๋งŒ์กฑ๋„ ์กฐ์‚ฌ ํšŒ๊ท€ ๋ถ„์„ 70 ์ œ 3 ์ ˆ ์„ ํ˜ธ๋„ ์กฐ์‚ฌ 78 1. ์„ ํ˜ธ๋„ ์กฐ์‚ฌ ๋…๋ฆฝํ‘œ๋ณธ T-๊ฒ€์ • 78 2. ์„ ํ˜ธ๋„ ์กฐ์‚ฌ ๊ฒฐ๊ณผ 82 ์ œ 4 ์ ˆ ์†Œ๊ฒฐ 84 ์ œ 5 ์žฅ ๊ฒฐ๋ก  86 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ๊ฒฐ๊ณผ ์š”์•ฝ 86 ์ œ 2 ์ ˆ ์—ฐ๊ตฌ์˜ ์˜์˜ ๋ฐ ํ•œ๊ณ„ 90 ์ฐธ๊ณ ๋ฌธํ—Œ 92 ๋ถ€๋ก 97 Abstract 100์„
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