5 research outputs found

    ์•„๋ฐ”์ด ๋ง ๊ทธ๋ฆฌ๊ณ  ๋‚˜์˜ ๋ง: ์†์ดˆ์‹œ ์ฒญํ˜ธ๋™ ์‚ฌ๋žŒ๋“ค์˜ ์–ธ์–ด ์‚ฌ์šฉ๊ณผ ์–ธ์–ด์ด๋ฐ์˜ฌ๋กœ๊ธฐ

    Get PDF
    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์ธ๋ฅ˜ํ•™๊ณผ, 2015. 2. ๊ฐ•์œคํฌ.๋ณธ ์—ฐ๊ตฌ๋Š” ์†์ดˆ์‹œ ์ฒญํ˜ธ๋™์—์„œ ์‚ฌ๋Š” ์ด๋ถ ์ถœ์‹ ์˜ ์ฒญํ˜ธ๋™ 1์„ธ๋Œ€์™€ ๊ทธ๋“ค์˜ ์ž๋…€์ธ 2์„ธ๋Œ€๋ฅผ ์ค‘์‹ฌ์œผ๋กœ ๊ทธ๋“ค์ด ๋ฐํžˆ๋Š” ์ฒญํ˜ธ๋™ ๋ง์˜ ์‚ฌ์šฉ๊ณผ ๊ทธ๊ฒƒ์˜ ๋ฌธํ™”์  ์˜๋ฏธ๋ฅผ ๋ถ„์„ํ•œ๋‹ค. ์ฒญํ˜ธ๋™์€ ํ•œ๊ตญ์ „์Ÿ ๋‹น์‹œ ํ•จ๊ฒฝ๋‚จ๋„ ์ถœ์‹  ํ”ผ๋‚œ๋ฏผ๋“ค์˜ ๋‚จํ•˜์— ์˜ํ•ด ํ˜•์„ฑ๋œ ์›”๋‚จ์ธ ์ •์ฐฉ์ดŒ์ด๋‹ค. ํ”ผ๋‚œ๋ฏผ๋“ค์ด ๋ชจ์—ฌ ์‚ด๋ฉฐ ์ด๋ถ ๋ฐฉ์–ธ์„ ๋‹ฎ์€ ์ฒญํ˜ธ๋™ ๋ง์€ ์ฒญํ˜ธ๋™ ์‚ฌ๋žŒ๋“ค์„ ๋Œ€ํ‘œํ•˜๋Š” ํ•ต์‹ฌ์  ๋ฌธํ™”์  ๊ฐ€์น˜๋กœ ์ „ํ•ด์ ธ ์™”๋‹ค. ํ•˜์ง€๋งŒ ์ •์ „ ๋ฐ ์„ธ๋Œ€ ๋ณ€ํ™” ๋“ฑ์— ์˜ํ•ด ์ฒญํ˜ธ๋™ ๋ง์„ ๋‘˜๋Ÿฌ์‹ผ ์ง‘๋‹จ ๋‚ด๋ถ€์  ์ธ์‹์€ ๋ณ€ํ™”ํ•˜๊ณ  ์žˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์ฒญํ˜ธ๋™ ์‚ฌ๋žŒ๋“ค์—๊ฒŒ์„œ ๋ฐœ๊ฒฌ๋˜๋Š” ์ฒญํ˜ธ๋™ ๋ง์— ๋Œ€ํ•œ ํƒœ๋„ ๋ฐ ๊ฐ€์น˜๊ด€ ๊ทธ๋ฆฌ๊ณ  ์ฒญํ˜ธ๋™ ๋ง๊ณผ ์ฒญํ˜ธ๋™ ์‚ฌ๋žŒ์˜ ์ •์ฒด์„ฑ ๊ฐ„์˜ ์—ฐ๊ด€ ๊ด€๊ณ„๋ฅผ ๋ฐํžˆ๋Š” ๊ฒƒ์„ ์—ฐ๊ตฌ ๋ชฉ์ ์œผ๋กœ ์‚ผ๋Š”๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋ฅผ ์ด๋„๋Š” ์—ฐ๊ตฌ ์งˆ๋ฌธ์€ ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค: ์ฒซ์งธ, ์ฒญํ˜ธ๋™ ์‚ฌ๋žŒ๋“ค์€ ์ฒญํ˜ธ๋™ ๋ง์„ ์–ด๋–ป๊ฒŒ ๊ทœ์ •ํ•˜๋ฉฐ ์–ด๋– ํ•œ ์˜๋ฏธ๋ฅผ ๋ถ€์—ฌํ•˜๋Š”๊ฐ€. ๋‘˜์งธ, ์ฒญํ˜ธ๋™ ์‚ฌ๋žŒ๋“ค์€ ์ฒญํ˜ธ๋™ ๋ง์— ๋Œ€ํ•˜์—ฌ ์–ด๋– ํ•œ ์–ธ์–ด์ด๋ฐ์˜ฌ๋กœ๊ธฐ๋ฅผ ์ง€๋‹ˆ๋ฉฐ ๊ทธ ๋‚ด๋ถ€์˜ ๋ณ€์ด๋Š” ์–ด๋– ํ•œ ์–‘์ƒ์„ ๋ณด์ด๋Š”๊ฐ€. ์…‹์งธ, ์ฒญํ˜ธ๋™ ์‚ฌ๋žŒ๋“ค ์‚ฌ์ด์—์„œ ์ฒญํ˜ธ๋™ ๋ง๊ณผ ์ฒญํ˜ธ๋™ ์‚ฌ๋žŒ์˜ ์ •์ฒด์„ฑ์€ ์–ด๋–ป๊ฒŒ ์—ฐ๊ฒฐ๋˜๋Š”๊ฐ€. 1) ์ฒญํ˜ธ๋™ ๋ง์˜ ํŠน์ง•์€ ํ˜•ํƒœ๋ก , ํ†ต์‚ฌ๋ก , ์–ดํœ˜ ๋ฐ ์กด๋Œ“๋ง ์‚ฌ์šฉ ๋“ฑ์—์„œ ๋‚˜ํƒ€๋‚œ๋‹ค. ๊ทธ์ค‘ ์ฒญํ˜ธ๋™ ์‚ฌ๋žŒ๋“ค์€ ์ฒญํ˜ธ๋™ ๋ง ํŠน์œ ์˜ ์Žˆ ์–ต์–‘, ์ฆ‰ ์ฒญํ˜ธ๋™ ๋ง์˜ ์Œ์„ฑํ•™์  ํŠน์ง•์„ ๊ฐ€์žฅ ๊ฐ•์กฐํ•œ๋‹ค. ์ฒญํ˜ธ๋™ ์‚ฌ๋žŒ๋“ค ์‚ฌ์ด์—์„œ ์ฒญํ˜ธ๋™ ๋ง์€ ์ฒญํ˜ธ๋™ ๋ง, ์ด๋ถ๋ง, ๋ถ์ฒญ๋ง, ํ•จ๊ฒฝ๋„ ๋ง, ์•„๋ฐ”์ด ๋ง ๋“ฑ๊ณผ ๊ฐ™์€ ๋‹ค์–‘ํ•œ ๋ฏผ๊ฐ„ ๋ช…์นญ์„ ์ง€๋‹Œ๋‹ค. ์ฒญํ˜ธ๋™ ๋ง์— ๋Œ€ํ•œ ๋ฏผ๊ฐ„ ๋ช…์นญ๋“ค์€ ์ฒญํ˜ธ๋™ ๋ง์„ ์™ธ๋ถ€์˜ ์–ธ์–ด์™€ ๊ตฌ๋ถ„ํ•˜๊ณ , ์ฒญํ˜ธ๋™ ๋ง์— ์ฒญํ˜ธ๋™ ์‚ฌ๋žŒ๋“ค์ด ์ง€๋‹ˆ๋Š” ๋ฌธํ™”์  ๊ฐ€์น˜๊ด€๊ณผ ๊ฒฝํ—˜์„ ํˆฌ์˜ํ•œ๋‹ค. ๊ฐœ์ธ์ด ์†ํ•œ ์„ธ๋Œ€์™€ ๊ทธ๊ฐ€ ๊ฒช์–ด์˜จ ์‚ฌํšŒ ๊ฒฝํ—˜์— ๋”ฐ๋ผ ์ฒญํ˜ธ๋™ ๋ง์„ ์ด๋ฅด๋Š” ๋ช…์นญ ์—ญ์‹œ ๋‹ฌ๋ผ์ง„๋‹ค. 2) ์˜ค๋Š˜๋‚  ์ฒญํ˜ธ๋™์€ ์ฒญํ˜ธ๋™ ๋ง์€ ๋ฌผ๋ก  ์„œ์šธ๋ง, ์†์ดˆ๋ง ๋“ฑ์ด ํ•จ๊ป˜ ์‚ฌ์šฉ๋˜๋Š” ๋‹ค์ค‘๋ฐฉ์–ธ์‚ฌํšŒ์ด๋‹ค. ์ด๋Ÿฌํ•œ ์–ธ์–ด ํ™˜๊ฒฝ ๋‚ด์—์„œ ์ฒญํ˜ธ๋™ ์‚ฌ๋žŒ๋“ค์€ ๋ง ์ƒํ™ฉ์„ ์ด๋ฃจ๋Š” ์š”์ธ ์ค‘ โ‘  ๋Œ€ํ™”์ฐธ์—ฌ์ž๋“ค์˜ ์ง‘๋‹จ ์ •์ฒด์„ฑ โ‘ก ๋Œ€ํ™”์ƒํ™ฉ์˜ ์„ฑ๊ฒฉ(๊ณต์‹ ๋Œ€ ๋น„๊ณต์‹) โ‘ข ๋Œ€ํ™”์ฐธ์—ฌ์ž๋“ค์˜ ์‚ฌํšŒ์  ๊ฑฐ๋ฆฌ๋ฅผ ๊ณ ๋ คํ•˜์—ฌ ์ฒญํ˜ธ๋™ ๋ง์„ ์„ ํƒ ยท ์‚ฌ์šฉํ•œ๋‹ค. ์ฒญํ˜ธ๋™ ์‚ฌ๋žŒ๋“ค์˜ ์‹ค์ œ ๋ง ์‚ฌ์šฉ์€ ๋‹ค์ค‘๋ฐฉ์–ธ์‚ฌํšŒ์— ๊ฐ€๊น์ง€๋งŒ ์ฒญํ˜ธ๋™ ์‚ฌ๋žŒ๋“ค์€ ์ฒญํ˜ธ๋™ ๋ง๊ณผ ์„œ์šธ๋ง์„ ๊ฐ๊ฐ ์ ์ ˆํžˆ ์ƒ์‘ํ•˜๋Š” ์ƒํ™ฉ๊ณผ ํ™˜๊ฒฝ์—์„œ ์ œํ•œ์ ์œผ๋กœ ์‚ฌ์šฉํ•˜๋Š” ์–‘์ธต์–ธ์–ด ํ˜„์ƒ์ด ๋‚˜ํƒ€๋‚œ๋‹ค๊ณ  ๋ฏฟ๋Š”๋‹ค. ๊ณง ์„œ์šธ๋ง์€ ์™ธ๋ถ€ ์‚ฌ๋žŒ์—๊ฒŒ ๋น„๊ณต์‹์  ์ƒํ™ฉ์—์„œ ๋งํ•  ๋•Œ ํ˜น์€ ์‚ฌํšŒ์ ์œผ๋กœ ์นœ๋ฐ€ํ•˜์ง€ ์•Š์€ ์ƒ๋Œ€์—๊ฒŒ ์ฃผ๋กœ ์‚ฌ์šฉํ•˜๋Š” ๋ง์ด๋ฉฐ, ๋ฐ˜๋Œ€๋กœ ์ฒญํ˜ธ๋™ ๋ง์€ ๋น„๊ณต์‹์  ์ƒํ™ฉ์—์„œ ์ฒญํ˜ธ๋™ ์‚ฌ๋žŒ๋“ค๋ผ๋ฆฌ ์“ฐ๋Š” ๋ง๋กœ ์—ฌ๊ธด๋‹ค. ์ฒญํ˜ธ๋™ ๋ง์˜ ์กด๋Œ“๋ง ์‚ฌ์šฉ์—์„œ ์„ธ๋Œ€๋ณ„ ์ฐจ์ด๋Š” ๋”์šฑ ๋‘๋“œ๋Ÿฌ์ง„๋‹ค. ์ฒญํ˜ธ๋™ 1์„ธ๋Œ€๋“ค์€ ํ•˜๋Œ€ํ•œ๋‹ค๊ณ  ๋ถˆ๋ฆฌ๋Š” ์ฒญํ˜ธ๋™ ๋ง์˜ ๋‚ฎ์€ ๋ง๋‹จ๊ณ„๋ฅผ ๋„“์€ ์—ฐ๋ น์ฐจ์—์„œ ํ—ˆ์šฉํ•˜์—ฌ ์‚ฌ์šฉํ•œ๋‹ค. ์ฒญํ˜ธ๋™ 2์„ธ๋Œ€๋“ค์€ ์ด๋ฅผ ์ƒ๋Œ€๋ฐฉ์„ ๋‚ฎ์ถ”๋Š” ๋ง๋กœ ๋ฐ›์•„๋“ค์ด๊ธฐ์— ์„œ์šธ๋ง์„ ๋” ์ž์ฃผ ์‚ฌ์šฉํ•œ๋‹ค. ๊ฒฐ๊ณผ์ ์œผ๋กœ ์ฒญํ˜ธ๋™ ์‚ฌ๋žŒ๋“ค ์‚ฌ์ด์—์„œ๋„ ์ฒญํ˜ธ๋™ ๋ง ์‚ฌ์šฉ์€ ๋”์šฑ ์ง€์—ฝ์ ์œผ๋กœ ๋ณ€ํ™”ํ•œ๋‹ค. 3) ์ฒญํ˜ธ๋™ ๋ง ์‚ฌ์šฉ์˜ ๋ณ€ํ™”๋Š” ์ฒญํ˜ธ๋™ ๋ง์— ๋Œ€ํ•œ ์ง‘๋‹จ ๋‚ด๋ถ€์  ๊ฐ€์น˜๋ฅผ ๋“œ๋Ÿฌ๋‚ด๋Š” ์–ธ์–ด์ด๋ฐ์˜ฌ๋กœ๊ธฐ์˜ ๋ณ€ํ™”์™€ ์ง๊ฒฐ๋˜์–ด์žˆ๋‹ค. ์ฒญํ˜ธ๋™ 1์„ธ๋Œ€๋“ค์—๊ฒŒ ์ฒญํ˜ธ๋™ ๋ง์€ ์šฐ๋ฆฌ ์ง‘๋‹จ์˜ ์ ˆ๋Œ€์  ํŠน์„ฑ์ด์ž ๋ฐ”๋€” ์ˆ˜ ์—†๋Š” ๋ฌธํ™”์  ๊ฐ€์น˜์ธ ํ•์ค„๋กœ ๋น„์œ ๋œ๋‹ค. ์ฒญํ˜ธ๋™ 2์„ธ๋Œ€๋“ค์€ ์ฒญํ˜ธ๋™ ๋ง์„ ํŠน์ • ์ƒํ™ฉ์—์„œ ์‚ฌ์šฉํ•˜๋Š” ์ƒํ™ฉ๋ณ€์ด์–ด๋กœ ๋ฐ›์•„๋“ค์ธ๋‹ค. ์ฒญํ˜ธ๋™ ๋ง์ด ๋Œ€ํ™”์˜ ๋ฐฐ๊ฒฝ, ๋Œ€ํ™”์ฐธ์—ฌ์ž์™€์˜ ์‚ฌํšŒ์  ๊ฑฐ๋ฆฌ ๋ฐ ์นœ๋ฐ€๋„์™€ ๊ฐ™์€ ์ƒํ™ฉ์  ์กฐ๊ฑด์— ๋งž์ถ”์–ด ๋‚˜ํƒ€๋‚  ๋•Œ์— ๋Œ€ํ™”์ฐธ์—ฌ์ž๋“ค ๊ฐ„์˜ ์นœ๋ฐ€์„ฑ์„ ๋ณด์—ฌ์ค„ ์ˆ˜ ์žˆ๋‹ค๊ณ  ๋งํ•œ๋‹ค. ์ Š์€ ์ฒญํ˜ธ๋™ ์‚ฌ๋žŒ๋“ค์—๊ฒŒ ์ฒญํ˜ธ๋™ ๋ง์˜ ์‚ฌ์šฉ์€ ๋ถ€์ •์  ํ‰๊ฐ€์™€ ๊ฒฐํ•ฉ๋˜๊ธฐ์—, ์ผ์ƒ์  ๋Œ€ํ™” ๋‚ด ์ฒญํ˜ธ๋™ ๋ง์˜ ์‚ฌ์šฉ์€ ์ ์  ์ค„์–ด๋“ค ๊ฒƒ์ด๋ผ๊ณ  ์˜ˆ์ƒํ•ด๋ณผ ์ˆ˜ ์žˆ๋‹ค. 4) ์—ฐํ–‰์  ๋งํ•˜๊ธฐ์—์„œ ์ฒญํ˜ธ๋™ ๋ง์€ ์—ฌ์ „ํžˆ ์ฒญํ˜ธ๋™ ์‚ฌ๋žŒ์„ ๋‚˜ํƒ€๋‚ด๋Š” ๊ฐ•๋ ฅํ•œ ๋ฌธํ™”์  ์ƒ์ง•์œผ๋กœ ๋‚จ์•„์žˆ๋‹ค. ์ฒญํ˜ธ๋™ ์‚ฌ๋žŒ๋“ค์€ ์ฒญํ˜ธ๋™ ๋ง์„ ์‚ฌ์šฉํ•˜์—ฌ ์ •์ฒด์„ฑ์˜ ์žฌํ˜„์„ ์˜๋„ํ•˜๊ธฐ๋„ ํ•œ๋‹ค. ์†์ดˆ๋ถ์ฒญ์‚ฌ์ž๋†€์Œ์—์„œ ์‚ฌ์šฉ๋˜๋Š” ์ฒญํ˜ธ๋™ ๋ง๊ณผ ๊ทธ๋ฅผ ํ†ตํ•œ ์ „ํ†ต์˜ ๊ฐ•์กฐ ์—ญ์‹œ ๋ง ์‚ฌ์šฉ์„ ํ†ตํ•œ ์ •์ฒด์„ฑ ์žฌํ˜„์˜ ํ•œ ์˜ˆ์ด๋‹ค. ์†์ดˆ๋ถ์ฒญ์‚ฌ์ž๋†€์Œ ๋ณด์กดํšŒ๊ฐ€ ์ฃผ์žฅํ•˜๋Š” ์–ธ์–ด์ด๋ฐ์˜ฌ๋กœ๊ธฐ๋ฅผ ํ†ตํ•ด ์—ฐํ–‰์ž์ธ ์ฒญํ˜ธ๋™ ์‚ฌ๋žŒ์—๊ฒŒ ์ด๋ถ ์ถœ์‹  ์‹คํ–ฅ๋ฏผ ์ •์ฒด์„ฑ์ด ๋ถ€์—ฌ๋˜๋ฉฐ, ๊ทธ๊ฐ€ ๊ตฌ์‚ฌํ•˜๋Š” ๋ง์€ ์ง„์งœ ํ•จ๊ฒฝ๋„ ๋ง๋กœ ํ‰๊ฐ€๋œ๋‹ค. ์†์ดˆ๋ถ์ฒญ์‚ฌ์ž๋†€์Œ์—์„œ ์‚ฌ์šฉ๋˜๋Š” ํ•จ๊ฒฝ๋„ ๋ฐฉ์–ธ์€ ์†์ดˆ์˜ ์‚ฌ์ž๋†€์Œ์„ ์ฐจ๋ณ„ํ™”ํ•˜๊ณ  ๋ฏผ์†๋†€์ด์˜ ์ „ํ†ต์„ฑ์„ ๋“œ๋Ÿฌ๋‚ด๋Š” ๊ธ์ •์ ์ธ ๊ฐ€์น˜๋กœ ์—ฌ๊ฒจ์ง„๋‹ค.โ… .์„œ๋ก  โ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆ 1 1. ์—ฐ๊ตฌ๋ฐฐ๊ฒฝ๊ณผ ์„ ํ–‰ ์—ฐ๊ตฌ ๊ฒ€ํ†  โ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆ 1 2. ์—ฐ๊ตฌ๋ชฉ์  ๋ฐ ์—ฐ๊ตฌ๋ฐฉ๋ฒ• โ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆ 6 โ…ก. ์—ฐ๊ตฌ์ง€ ๋ฐ ์—ฐ๊ตฌ๋Œ€์ƒ ๊ฐœ๊ด€ โ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฅโ€ฅ 10 1. ์†์ดˆ์‹œ ์ฒญํ˜ธ๋™: ์—ญ์‚ฌ์™€ ํ˜„์žฌ โ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆ 10 1) ์ฒญํ˜ธ๋™์˜ ์—ญ์‚ฌ โ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆ 10 2) ์ฒญํ˜ธ๋™์˜ ํ˜„์žฌ โ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆ 17 2. ์ฒญํ˜ธ๋™ ์‚ฌ๋žŒ๋“ค โ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆ 18 1) ์ฒญํ˜ธ๋™ ์‚ฌ๋žŒ๋“ค์˜ ๋ฌธํ™”์  ์ •์˜ โ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฅ 18 2) ์ฒญํ˜ธ๋™ ์‚ฌ๋žŒ๊ณผ ์„ธ๋Œ€ โ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฅโ€ฅ 21 3) ์ฒญํ˜ธ๋™ ์‚ฌ๋žŒ๋“ค๊ณผ ๋ฐ˜๊ณต์ด๋ฐ์˜ฌ๋กœ๊ธฐ โ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฅโ€ฅโ€ฆโ€ฆโ€ฆ 23 โ…ข. ์ฒญํ˜ธ๋™์˜ ์„ธ๋Œ€์™€ ์ฒญํ˜ธ๋™ ๋ง ์‚ฌ์šฉ โ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฅโ€ฅโ€ฆโ€ฅ 26 1. ์ฒญํ˜ธ๋™์˜ ๋ณ€ํ™”์™€ ์ฒญํ˜ธ๋™ ๋ง โ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฅโ€ฅ 26 1) ์ฒญํ˜ธ๋™ ๋ง์˜ ์–ธ์–ด์  ํŠน์ง• โ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฅโ€ฅ 26 2) ์ฒญํ˜ธ๋™ ๋ง์˜ ๋ฏผ๊ฐ„๋ช…์นญ โ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฅโ€ฅโ€ฅโ€ฅโ€ฅโ€ฅ 35 2. ์„ธ๋Œ€์— ๋”ฐ๋ฅธ ์ฒญํ˜ธ๋™ ๋ง ์‚ฌ์šฉ: ๋ง ์„ ํƒ์„ ์ค‘์‹ฌ์œผ๋กœ โ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฅโ€ฅโ€ฅ 39 1) ์ง‘๋‹จ ์ •์ฒด์„ฑ โ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฅ 39 2) ์ƒํ™ฉ โ€“ ๊ณต์‹ ๋Œ€ ๋น„๊ณต์‹ โ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฅโ€ฆ 43 3) ์‚ฌํšŒ์  ๊ฑฐ๋ฆฌ โ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฅโ€ฅ 45 3. ์ฒญํ˜ธ๋™ ๋ง ์„ ํƒ์˜ ์‚ฌํšŒ์  ๊ทœ์น™๊ณผ ์„ธ๋Œ€๋ณ„ ๋ณ€์ด โ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฅโ€ฅโ€ฅ 55 โ…ฃ. ์ฒญํ˜ธ๋™ ๋ง๊ณผ ์„ธ๋Œ€๋ณ„ ์–ธ์–ด์ด๋ฐ์˜ฌ๋กœ๊ธฐ โ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฅ 59 1. ์ฒญํ˜ธ๋™์˜ ์„ธ๋Œ€๊ต์ฒด์™€ ๋ง ์‚ฌ์šฉ์˜ ํŠน์ง• โ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฅโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆ 59 2. ์ฒญํ˜ธ๋™์˜ ์„ธ๋Œ€์™€ ์–ธ์–ด์ด๋ฐ์˜ฌ๋กœ๊ธฐ โ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฅโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฅ 64 1) ์ฒญํ˜ธ๋™ 1์„ธ๋Œ€์˜ ์–ธ์–ด์ด๋ฐ์˜ฌ๋กœ๊ธฐ: ํ•์ค„๋กœ์„œ์˜ ์ฒญํ˜ธ๋™ ๋ง โ€ฆโ€ฆโ€ฆโ€ฅ 65 2) ์ฒญํ˜ธ๋™ 2์„ธ๋Œ€์˜ ์–ธ์–ด์ด๋ฐ์˜ฌ๋กœ๊ธฐ: ์ƒํ™ฉ๋ณ€์ด์–ด๋กœ์„œ์˜ ์ฒญํ˜ธ๋™ ๋งโ€ฅ 70 3. ์„ธ๋Œ€๋ณ„ ์–ธ์–ด์ด๋ฐ์˜ฌ๋กœ๊ธฐ์˜ ๋ณ€์ด์™€ ์ฒญํ˜ธ๋™ ๋ง์˜ ์ „๋ง โ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฅ 80 โ…ค. ์–ธ์–ด์ด๋ฐ์˜ฌ๋กœ๊ธฐ์™€ ์ •์ฒด์„ฑ์˜ ์—ฐํ–‰ โ€“ ์†์ดˆ๋ถ์ฒญ์‚ฌ์ž๋†€์Œ์„ ์ค‘์‹ฌ์œผ๋กœ โ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฅโ€ฅ 83 1.์—ฐํ–‰ ๋‚ด ์ฒญํ˜ธ๋™ ๋ง๊ณผ ์ „๋žต์  ์ด์šฉ โ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฅ 84 2. ๋‚จํ•œ ๋‚ด ๋ถ์ฒญ์‚ฌ์ž๋†€์Œ์˜ ์—ฐํ–‰๊ณผ ์†์ดˆ๋ถ์ฒญ์‚ฌ์ž๋†€์Œ โ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฅโ€ฅ 89 3. ์†์ดˆ๋ถ์ฒญ์‚ฌ์ž๋†€์Œ์˜ ์–ธ์–ด์ด๋ฐ์˜ฌ๋กœ๊ธฐ: ์ „ํ†ต์œผ๋กœ์„œ์˜ ์ฒญํ˜ธ๋™ ๋ง โ€ฆโ€ฅ 91 1) ๋ถ์ฒญ์‚ฌ์ž๋†€์Œ์˜ ๊ธฐ์›๊ณผ ์ฒญํ˜ธ๋™ ์‚ฌ๋žŒ โ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฅ 91 2) ํ•จ๊ฒฝ๋„ ๋ง ์‚ฌ์šฉ๊ณผ ์†์ดˆ ๋ฏผ์† ์—ฐํ–‰์˜ ์ฐจ๋ณ„ํ™” โ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฅโ€ฆโ€ฆโ€ฅ 98 โ…ฅ. ๊ฒฐ๋ก  โ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฅโ€ฅโ€ฆโ€ฆ 102 ์ฐธ๊ณ ๋ฌธํ—Œ โ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆ 109 Abstract โ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆ 117Maste

    Road Pricing Strategies considering Social Benefits and Operator's Revenue

    No full text
    ์œ ๋ฃŒ๋„๋กœ์˜ ๊ฑด์„ค์—์„œ ํ†ตํ–‰๋ฃŒ ์ˆ˜์ž…์€ ๊ณต๊ณต์žฌ์ธ ๋„๋กœ๊ฑด์„ค์˜ ์ „ํ†ต์  ๋ชฉ์ ์ธ ์‚ฌํšŒ์  ํŽธ์ต๊ณผ ๋”๋ถˆ์–ด ์‚ฌ์—…์˜ ์‹œํ–‰์—ฌ๋ถ€๋ฅผ ๊ฒฐ์ •ํ•˜๋Š” ์ค‘์š”ํ•œ ์š”์ธ์ด๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์‹œ๊ฐ„๋Œ€๋ณ„ ์š”๊ธˆ์ˆ˜์ค€์„ ๋‹ฌ๋ฆฌํ•˜๋Š” ์ฐจ๋“ฑ์š”๊ธˆ์ œ๋„์˜ ๋„์ž…์œผ๋กœ ํ˜„์žฌ์˜ ๊ท ์ผ์š”๊ธˆ์ฒด๊ณ„ ๋Œ€๋น„ ์‚ฌํšŒ์  ํŽธ์ต๊ณผ ์ˆ˜์ž…, ํŽธ์ต๋ฐœ์ƒ์˜ ๊ณต๊ฐ„์  ํ˜•ํ‰์„ฑ์„ ๋™์‹œ์— ๊ฐœ์„ ํ•  ์ˆ˜ ์žˆ๋Š” ์š”๊ธˆ๋ถ€๊ณผ์ „๋žต์„ ์ œ์‹œํ•˜์˜€๋‹ค. ์ด๋ฅผ ์œ„ํ•ด ๋‹ค์ค‘๋ชฉ์ ์ตœ์ ํ™”(multi-objective optimization) ๊ธฐ๋ฒ•์„ ์ ์šฉํ•˜์˜€์œผ๋ฉฐ, ์—ฐ์‚ฐํ•ด๋ฒ•์œผ๋กœ๋Š” ์œ ์ „์ž ์•Œ๊ณ ๋ฆฌ์ฆ˜(genetic algorithm)์„ ์ ์šฉํ•˜์˜€๋‹ค. ์—ฐ๊ณ„๊ฐ€ ๊ฐ€๋Šฅํ•œ ๋‘ ๊ฐœ์˜ ์œ ๋ฃŒ๋„๋กœ๊ฐ€ ์กด์žฌํ•˜๋Š” ๊ฒฝ์šฐ, ๋…๋ฆฝ์šด์˜๊ณผ ํ†ตํ•ฉ์šด์˜ ์ œ๋„ํ•˜์—์„œ์˜ ๋ถ„์„์„ ํ†ตํ•ด ๊ทธ ๊ฒฐ๊ณผ๋ฅผ ๋…ผ์˜ํ•˜์˜€๋‹ค. ํ†ตํ–‰์š”๊ธˆ์ƒํ•œ์ด๋‚˜ B/C, ์ตœ์†Œ์ˆ˜์ต์œจ์— ๋Œ€ํ•œ ์ œ์•ฝ์ด ์žˆ๋Š” ๊ฒฝ์šฐ ์„ ํƒํ•  ์ˆ˜ ์žˆ๋Š” ์š”๊ธˆ์ „๋žต์˜ ๋ฒ”์œ„๋ฅผ ์‚ดํŽด๋ณด๊ณ  ์ตœ์ ์š”๊ธˆ์ „๋žต ์„ ์ •๋ฐฉ์•ˆ์„ ์ œ์‹œํ•˜์˜€๋‹ค. ์‹ค์ œ ์„œ์šธ์‹œ์— ์ œ์•ˆ๋œ ์€ํ‰์ƒˆ๊ธธ๊ณผ ํ‰์ฐฝํ„ฐ๋„ ๋‘ ์œ ๋ฃŒ๋„๋กœ ์‚ฌ์—…์— ๋Œ€ํ•œ ์‚ฌ๋ก€๋ถ„์„์„ ์ˆ˜ํ–‰ํ•œ ๊ฒฐ๊ณผ, ์ฐจ๋“ฑ์š”๊ธˆ์ œ ๋„์ž…์‹œ ์ตœ๋Œ€์ˆ˜์ž…์€ ๊ฐ๊ฐ 29.5%, 16.9% ์ฆ๊ฐ€, ์‚ฌํšŒ์  ํŽธ์ต์€ 4.5%, 21.8%๊ฐ€ ์ฆ๊ฐ€ํ•˜์˜€๋‹ค. ๋˜ํ•œ, ์—ฐ๊ณ„์šด์˜์‹œ ๋…๋ฆฝ์šด์˜ ๋Œ€๋น„ ์ˆ˜์ž…๊ณผ ํŽธ์ต ์–‘์ธก๋ฉด์—์„œ ์ฆ๊ฐ€ํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋ถ„์„๋˜์—ˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ ์ œ์‹œํ•œ ์š”๊ธˆ๋ถ€๊ณผ์ „๋žต์€ ์ตœ๊ทผ ์ˆ˜์ž…๋ถ€์กฑ๊ณผ ๊ด€๋ จ๋˜์–ด ์‚ฌํšŒ์  ๋ฌธ์ œ๊ฐ€ ๋˜๊ณ  ์žˆ๋Š” ๋ฏผ์ž๋„๋กœ์˜ ์šด์˜์— ์ ์šฉํ•  ๊ฒฝ์šฐ ํŽธ์ต์˜ ๊ฐ์†Œ์—†์ด ์ˆ˜์ž…์„ ์ฆ๋Œ€์‹œํ‚ฌ ์ˆ˜ ์žˆ์„ ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€๋œ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ๋‹ค์ค‘๋ชฉ์ ๊ณผ ์‹œ๊ฐ„๋Œ€๋ณ„ ์š”๊ธˆ์ˆ˜์ค€์„ค๊ณ„ ๋ฌธ์ œ๋ฅผ ๊ฒฐํ•ฉํ•œ ํ•™์ˆ ์ ์ธ ์˜๋ฏธ๊ณผ ํ•จ๊ป˜ ์ •์ฑ…์ ์šฉ์˜ ๊ฐ€๋Šฅ์„ฑ ์ธก๋ฉด์—์„œ๋„ ์˜๋ฏธ๋ฅผ ๊ฐ€์งˆ ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€๋œ๋‹ค.In the planning of toll road, effective road pricing strategy is a dominant factor for balancing the social benefit and the operators revenue. Time-variable road pricing strategy is proposed to improves not only the social benefit and the revenue, but the spatial equity of induced benefit. A genetic algorithm is applied to solve the multi-objective optimization problem and the result is compared to the flat tolling strategy. In the case that two roads can be operated under combined toll system, Both social benefit and operators revenue are compared in separate and combined operation cases. The ranges of tolling strategy under the some constraint like a toll cap, benefit cost ratio, minimum acceptance of rate of return is investigated and the method of choosing optimal strategy is proposed. A case study for two toll roads actually planned in Seoul Metropolitan Area shows that the revenue and benefit increase at the same time under the time-variable road pricing strategy and the integrating operation. Pricing strategy in this study could be expected to achieve a marked effect especially in the private road.Docto

    ์šฐ๋ฆฌ๋‚˜๋ผ ํ™˜๊ฒฝ์˜ํ–ฅํ‰๊ฐ€์ œ๋„์˜ ํ•œ๊ณ„ ๋ฐ ๊ฐœ์„ ๋ฐฉํ–ฅ์— ๊ด€ํ•œ ์—ฐ๊ตฌ : ํ™˜๊ฒฝ์˜ํ–ฅํ‰๊ฐ€์„œ ์ž‘์„ฑ๊ณผ์ •์„ ์ค‘์‹ฌ์œผ๋กœ

    No full text
    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ํ™˜๊ฒฝ๋Œ€ํ•™์› :ํ™˜๊ฒฝ๊ณ„ํšํ•™๊ณผ,1995.Maste

    Examining the effects of sponsorship through the cognitive processes of title sponsorship: Based on the means-end chain theory

    No full text
    corecore