교통량 배정 방법에 따른 대기질의 사회적 비용 비교분석

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Received May 25 2012, Revised June 25 2012, Accepted February 14 2013

Copyright ⵑ 2013 by the Korean Society of Civil Engineers

ǣǣȀȀǤǤȀͳͲǤͳʹ͸ͷʹȀǤʹͲͳ͵Ǥ͵͵Ǥ͵ǤͳͲͺ͹

ǤǤǤ

ጎ㝳ᶇ#⇮ⷓ#⇧≓⮎#᫮ἶ#ᢾᏮ⾆ⴖ#♪㱊⶿#␂Ⱨ#␂ጎ⍂⛛

ଲָ஼ȵౖ׆ச

LEE, Kyu Jin*, CHOI, Keechoo**

Social Cost Comparison of Air-Quality based on Various Traffic Assignment Frameworks

ABSTRACT

This study aims at enhancing the objective estimation of social cost of air quality due to mobile emission. More specifically, it examines the difference between the daily oriented and hourly oriented estimation results of social air quality cost and draws implications from the comparative analysis. The result indicates that the social cost of air quality differs up to approximately 24 times depending on the analysis time period. Moneywise, the difference between daily and hourly assignments amounts to the average of 653.5 billion won whereas only 1% of error occurred in the estimation result based on peak and nonpeak based hourly assignment. This study reaffirms the need for time-based travel demand management for emission reduction, and confirms the feasibility of emission estimation by travel demand forecasting method over the conventional method employed by the CAPSS.

Key words : Valuation of Air Quality, Social Cost, Cluster Analysis, Traffic Assignment, Mobile Emission

Ⅹಾ

ᅙᩑǍ۵ᯱ࠺₉႑⇽aᜅᨱ᮹⦽ݡʑḩ᮹ᔍ⫭ᱢእᬊ⇵ᱶđŝ᮹~šᖒ⨆ᔢᮥ༊ᱢᮝಽ, ᯝ݉᭥, ℉ࢱእ℉ࢱ᜽e݉᭥, b᜽e݉᭥ᄥ

ݡʑḩ᮹ᔍ⫭ᱢ⇵ᱶႊჶ₉ᯕaəđŝᨱၙ⊹۵ᩢ⨆ᮥᔕ⠕ᅕŁə᜽ᔍᱱᮥࠥ⇽⦹ᩡ݅. ᇥᕾđŝ, ݡʑḩ᮹ᔍ⫭ᱢእᬊᮡᇥᕾ᜽eݡ ᨱ঑௝᧞24႑ʭḡ₉ᯕaၽᔾ⦹۵äᮝಽӹ┡ԍᮝ໑, ᯝ݉᭥᪡b᜽e݉᭥☖⧪႑ᱶᨱ঑ෙݡʑḩ᮹ᔍ⫭ᱢእᬊᮡᩑ⠪Ɂ᧞6,536ᨖ ᬱ᮹₉ᯕaၽᔾ⦹۵äᮝಽӹ┡ԍ݅. ⦽⠙℉ࢱእ℉ࢱ݉᭥᪡b᜽e݉᭥᮹☖⧪႑ᱶᨱ঑ෙ⇵ᱶđŝ۵᧞1%᮹₉ᯕaၽᔾ⦹ḡᦫ۵

äᮝಽӹ┡ԍ݅. ᅙᩑǍෝ☖⧕, ݡʑḩ᮹ᔍ⫭ᱢእᬊᮡ☖⧪႑ᱶႊჶುᨱ঑௝ⓑ₉ᯕaၽᔾ⦽݅۵ᱱᮥ⪶ᯙ⦹ᩡŁ, ✚⯩CAPSS᮹ႊ

ჶᅕ݅᜽eݡᇥᕾᯕa܆⦽Ʊ☖ᙹ᫵ᇥᕾʑჶᨱ᮹⦽႑⇽పၰݡʑḩእᬊ⇵ᱶႊჶᯕᅕ݅ᱶ⪶ࠥa׳ᮭᮥ᯦᷾⧁ᙹᯩᨩ݅. ᦥᬙ్ݡ ʑḩ}ᖁᮥ᭥⧕, ᜽eݡᄥƱ☖ᙹ᫵šญ᮹⦥᫵ᖒᮥ⪶ᯙ⧁ᙹᯩᨩ݅.

áᔪᨕ ݡʑḩa⊹, ᔍ⫭ᱢእᬊ, ǑḲᇥᕾ, ☖⧪႑ᱶ, ႑⇽ప

1. ᕽು

1950 ֥ ᖙĥ ↽ኩǎ ᵲ ⦹ӹᩡ޹ ᬑญӹ௝۵ Łࠥ᮹ ᦶ⇶ᖒᰆ ŝᱶᮥ ☖⧕ 1996֥ ᗭ᭥ ᖁḥǎ ⓕ౞ᯕ௝۵ OECDᨱ a᯦⦹۵

॒࠺ᕽᗭɪᮥสು⦹Łᮁಡෝ₟ᦥᅝᙹᨧ۵Ğᱽၽᱥᮥᯕ൉ᨩ݅. ə్ӹəᇡ᯲ᬊᮝಽᗭा᧲ɚ⪵⩥ᔢ॒ŝzᮡᔍ⫭i॒

ၰ ⪹Ğ❭ƕ ྙᱽ᮹ ᝍbᖒᯕ ݡࢱࡹŁ ᯩ݅. ✚⯩, ᙹࠥǭ᮹ ݡʑ᪅ᩝᮝಽ ᯙ⧕ ᧞ 1อ໦ᯕ ᳑ʑ ᔍ฾⦹۵ äᮝಽ ᩩ⊂ࡹŁ ᯩ۵

İࣀėॡ

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॒(Yoo, Y. S., 2003) əᝍbᖒᨱݡ⦽ݡ₦ᮝಽ2003֥ᙹࠥǭݡ ʑ⪹Ğᨱš⦽✚ᄥჶ᮹ᱽᱶ॒ᮥ☖⧕ݡʑḩ}ᖁᮥ᭥⦽݅᧲⦽

ᱶ₦ᮥ᜽⧪⦹Łᯩ݅. ᬑญᅕ݅ᦿᕽᔑᨦ⪵ෝĞ⨹⦽ݡᇡᇥ᮹

ᖁḥǎॅࠥ ⪹Ğྙᱽᨱ ݡ⧕ ӹ෥᮹ ⧕ჶᮥ ₟Ł ᯩŁ, ᝅᱽಽ

᪅ᩝࡹᨩ޹ḡᩎॅࠥ᪅ఌ࠺ᦩ᮹ᇡ݉⦽יಆҾᨱ⫭ᔾࡹᨕaŁ

ᯩ݅۵ᅕࠥෝᙹ᜽ಽᱲ⧁ᙹᯩ݅. ᬑญӹ௝ࠥᯕ్⦽ݡʑḩ

ྙᱽෝᝍb⦹íŁಅ⦹ḡᦫᮝ໕Ğᱽᱢᖒᰆᨱสݡ⦽ḡᰆᮥ

ၼᮥᙹၷᨱᨧ۵ᩍÕᨱ״ᩍᯩʑভྙᨱᅕ݅ᱢɚᱢᯙᱶ₦

᜽⧪ᯕ ᫵Ǎࡹ۵ ᔢ⫊ᯕ݅.

ݡʑ᪅ᩝ᮹42.7%۵Ʊ☖ᇥ᧝ᨱᕽၽᔾ⦹Łᯩ۵äᮝಽᅕŁ

ࡹŁᯩ۵ၵ(NIER, 2009), Ʊ☖-⪹Ğᱶ₦ᮡݡʑḩᮥ}ᖁ⦹ʑ

᭥⦽⬉ŝᱢᯙݡᦩᯕࢁᙹᯩᮝӹ, ☖⧪ᨖᱽ, ☖⧪ᙹ݉ᱥ⪹,

₉ప}ᖁᮥᮁࠥ⦹۵Ʊ☖-⪹Ğᱶ₦ॅᮡʑᨦŝ᜽ၝ᮹ၹݡ᪡

޵ᇩᨕ ฯᮡᗭ᫵ እᬊᮝಽ ᯙ⧕ᝅ⧪ᨱ۵ ฯᮡ ᱽ᧞ᯕ঑෕Ł

ᯩ݅. ᦥᬙ్Ʊ☖ᇡྙᨱᕽၽᔾ⦹۵ݡʑ᪅ᩝྜྷḩၰ᪉ᝅaᜅᨱ

ݡ⦽ݡʑḩ᮹ᔍ⫭ᱢ⦝⧕እᬊᨱݡ⧕ᕽࠥᇩᇥ໦⦽᫵ᗭa݅

ᙹ⡍⧉ࡹᨕᯩʑভྙᨱ, ᱶ₦⇵ḥ᮹ᱽ᧞᫵ᗭಽ᯲ᬊ⦹Łᯩ݅.

Ʊ☖-⪹Ğ ᱶ₦᮹ ᬱ⪽⦽ ⇵ḥᮥ ᭥⧕ᕽ۵ ~šᱢᯙ ┡ݚᖒ

⠪ađŝaघၼ⋉ࡹᨕ᧝⦹໑, bᱶ₦ॅᨱݡ⦽⠪ađŝ᮹

~šᖒ ⨆ᔢᮥ ᭥⧕ᕽ۵ ݅᧲⦽ ᩑǍa ᙹၹࡹᨕ᧝ ⦽݅. ᯕ᪡

zᮡᩑǍ႑Ğᦥ௹, ᅙᩑǍ۵ᯝၹᱢᮝಽ⪹Ğᇥ᧝ᨱᕽᱢᬊ⦹Ł

ᯩ۵ ᯝ ⠪Ɂ ݉᭥᮹ ႑⇽పŝ ݡʑḩ እᬊ ⇵ᱶ ႊჶŝ Ʊ☖

ᇥ᧝ᨱᕽᱢᬊ⦹Łᯩ۵℉ࢱ እ℉ࢱ᜽e݉᭥᮹⇵ᱶႊჶ᮹

ᱢᬊᨱ঑ෙəđŝෝእƱ⧕ᅕŁ, əᨱ঑ෙ᜽ᔍᱱࠥ⇽ᮥ༊ᱢᮝ ಽ ⦽݅.

2. šಉᩑǍŁₑ

Kim, T. H. et al. (2010) ۵ࠥಽᇡྙ᮹᪉ᝅaᜅ႑⇽పᔑᱶ

ႊჶುᮥTier 1~Tier 3ಽǍᇥ⦹ᩍǎԕᱢᬊa܆ᖒᮥá☁⦹ᩡᮝ ໑, እƱᱢᱶ⪶ᖒᯕ׳ᮡTier 3᮹ᱢᬊᮥ᭥⧕ḡᗮᱢᯙᯱഭ᮹

ᙹḲaŖ ℕĥ᮹ ⦥᫵ᖒᮥ ᱽ᜽⦹ᩡ݅.

Yoo, B. Y. et al. (2011) ᮡƱ☖ᇡྙ᮹᪉ᝅaᜅ႑⇽పᔑᱶႊ

ჶುᯙTier 1~3ᮥḡᯱℕᨱᱢᬊ⦽⬥ᯕෝእƱ⦹ᩡᮝ໑, ᔑᱶ

ႊჶುᨱ঑௝ḡᯱℕ᮹⪹Ğᱢ॒ɪᯕ݅෕í⠪aࢁᙹᯩ݅۵

äᮥ ᯦᷾⦹ᩡ݅.

Kim, C. W. (1997) ᮡHPM(hedonic price model)ᮥ⪽ᬊ⦹ᩍ

ᵝ┾aĊᨱԕᰍࡽᯕᔑ⪵⫊, ᯕᔑ⪵ḩᗭᨱݡ⦽ݡʑḩaĊᮥ⊂ᱶ

⦹ᩡᮝ໑, ᯕ۵᧞295อᬱᯙäᮝಽӹ┡ԍ݅.

Eom, Y. S. (1998)ᮡABM(avertive behavior method)ᮥ⪽ᬊ

⦹ᩍᦥ⫊ᔑaᜅ, ᯕᔑ⪵ḩᗭ, ᪅᳕᪅ᩝᮝಽᯙ⦽ݡʑ᪅ᩝᯕ⪙⯂

ʑḩ⪹᷾ᔢᮥqᗭ᜽┅۵ߑݡ⦽ǎԕᗭእᯱॅ᮹ḡᇩ᮹ᔍᧂ

ᮥ᳑ᔍ⦹ᩡ݅. əđŝ᪅᳕qᗭෝ᭥⦽ǎԕᗭእᯱॅ᮹1ᯙݚ

ᬵ⠪Ɂḡᇩ᮹ᔍᧂᮡ2,098~2,832ᬱᯕŁaǍݚᬵ⠪Ɂḡᇩ᮹ᔍ ᧂᮡ 7,951~10,920ᬱᮝಽ ӹ┡ԍ݅.

Lee, S. W. et al. (2001)ᮡݡʑ᪅ᩝᮥᱽ᫙⦽݅ෙᩍÕᮡ

ḡɩÑᵝḡ᪡ᯕᔍ⧁Ñᵝḡa࠺ᯝ⦹݅۵aᱶ⦹ᨱ, ⩥ᰍݡʑ᪅

ᩝᮥ⦝⦹ᩍݡʑ᪅ᩝᯕÑ᮹ᨧ۵ḡᩎᮝಽᯕᔍ⦹۵Ğᬑḡᇩ᮹ ᔍᧂᮥᵝÑᗭᮁ⩶┽ᄥಽᇥᕾ⦹ᩡ݅. əđŝᯱaᯝĞᬑaǍݚ

⠪Ɂḡᇩ᮹ᔍᧂᮡ5,640อᬱ, ⢽ᵡ⠙₉۵9,293อᬱᯙäᮝಽ

ӹ┡ԍ݅. ᱥᖙᯝĞᬑaǍݚ⠪Ɂḡᇩ᮹ᔍᧂᮡ2,650อᬱ, ⢽ᵡ

⠙₉۵ 2,574อᬱᮝಽ ӹ┡ԍ݅.

Yoo, Y. S. (2003) ᮡĞʑࠥbḡᩎᨱݡ⦽ݡʑ᪅ᩝ᮹ᔍ⫭ᱢ

እᬊᮥ⇵ᱶ⦹ʑ᭥⧕⠙ᯖᯕᱥʑჶᵲa⊹ᯕᱥʑჶᮥ⪽ᬊ⦹ᩡ

݅. ᪅ᩝྜྷḩಽᯙ⦽ḩᄲᮥ᳑ʑᔍ฾ŝɪᖒ⪙⯂ʑḩ⪹ᮝಽȽᱶ

⦹Łᯕෝᖁ⧪ᩑǍᨱᕽၾ⩡ḥĥᙹsᮥ ᯕᬊ⦹ᩍ⦝⧕Õᙹෝ

ࠥ⇽⦽݅ᮭᯕ⦝⧕Õᙹಽᯙ⧕ၽᔾ⦹۵ᔍ⫭ᱢእᬊᮥ⇵ᱶ⦹ᩡ

݅. bḡᩎ᮹⦝⧕Õᙹ۵ḡᩎ᮹ݡʑ᪅ᩝ⊂ᱶ฾ᯱഭ᪡ᯙǍෝ

ᯕᬊ⦹ᩍ⇵ᱶ⦹ᩡᮝ໑, ᔍ⫭ᱢእᬊ᮹Ğᬑʑ᳕ᩑǍđŝᯙ᳑ʑ ᔍ฾1ᨖ8⃽อᬱ~8ᨖ6⃽อᬱ, ɪᖒ⪙⯂ʑḩ⪹33,440ᬱᮥᱢᬊ

⦹ᩡ݅. əđŝᖒԉ᜽᮹ݡʑ᪅ᩝ⦝⧕ᧂᮡ599,198႒อᬱ, ᩑ⃽

Ǒ 9,234႒อᬱᮝಽ ӹ┡ԍ݅.

Anne, Rozan (2004) ᮡḡᇩ᮹ᔍᧂ⇵ᱶ༉⩶ᨱݡ⦽⠙ᯖᯕᱥʑ ჶᮥ⪽ᬊ⦹ᩍݡʑḩᙹᵡᯕእ᜘⦽⥥௲ᜅ᪡ࠦᯝ᮹ݡʑḩa⊹ෝ

እƱ⦹ᩡ݅. əđŝݡʑḩᨱݡ⦽ࠦᯝ᮹ḡᇩ᮹ᔍᧂᮡ⥥௲ᜅ᪡

እƱ⧕᧞1.62႑׳ᮡäᮝಽӹ┡ԍ݅.

Abou-Ali, H. et al. (2005) ᮡ᳑Õᇡa⊹⊂ᱶჶ⇵ᱶ༉⩶ᨱݡ⦽

⠙ᯖᯕᱥʑჶᮥ⪽ᬊ⦹ᩍᯕḲ✙᪡༉ಽ⎵᮹ݡʑḩ}ᖁᨱݡ⦽

a⊹ෝ⠪a⦹ᩡᮝ໑, əđŝ᧞3႑᮹₉ᯕaၽᔾ⦹۵äᮝಽӹ┡

ԍ݅.

Park, J. I. (2006) ᮡBenMAPᮥᯕᬊ⦹ᩍᙹࠥǭ᮹ݡʑḩÕv

⠙ᯖᮥ⇵ᱶ⦹ᩡ݅. ⧕ݚ⥥ಽəఉ᮹᯦ಆᯱഭಽ⠙ᯖᯕᱥʑჶŝ

᳑Õᇡa⊹⊂ᱶჶᨱ᮹⦽Ğᱽᱢa⊹ෝ⪽ᬊ⦹ᩡᮝ໑, ᇥᕾđŝ

ᯙ⃽᜽᪡እƱ⧕ᕽᬙ᜽᮹ݡʑḩᨱݡ⦽}ᖁ⬉ŝ⠙ᯖᮡ᧞5႑᮹

₉ᯕaၽᔾ⦹۵äᮝಽӹ┡ԍ݅.

Lee, Y. J. (2011)ᮡݡʑḩ᮹ḩᯕᵝ┾aĊᨱၙ⊹۵ᩢ⨆

ᩍᇡ᪡əⓍʑෝá᷾⦹ᩡᮝ໑, ᕽᬙ᜽ᦥ❭✙ๅๅaĊŝ25}

ᯱ⊹Ǎ᮹ࠥ᜽ݡʑ⊂ᱶᗭᨱᕽ⊂ᱶࡽݡʑ᪅ᩝࠥᯱഭෝᯕᬊ⦹ᩍ

݅ᵲ⫭ȡᇥᕾᮥᝅ᜽⦹ᩡ݅. əđŝᯝᔑ⪵┥ᗭ᮹׮ࠥa0.1ppm ᔢ᜚⦹໕ᦥ❭✙ᱽŒၙ░ݚๅๅaĊᮡ᧞359,300ᬱ⦹௞⦹۵

äᮝಽ ӹ┡ԍ݅.

⩥ᰍʭḡ ݡʑḩ᮹ ᔍ⫭ᱢ እᬊ ⇵ᱶ ᩑǍ۵ Ḣᱲᱢᯙ ⇵ᱶ

ੱ۵༉⩶ᮥ☖⦽ḡᩎeእƱ॒ᮥᵲᝍᮝಽᯕ൉ᨕᲭ݅. ᅙᩑǍ۵

ݡʑḩ᮹ᔍ⫭ᱢእᬊᨱݡ⧕, ᇥᕾʑᵡᯕࡹ۵᜽eݡ᮹Ǎᇥᨱ

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Fig. 1. Procedure for Social Cost Estimation of Air-Quality

Table 1. Traffic Ratio for Hourly of Seoul Metropolitan Area Traffic Ratio

Seoul-si Incheon-si Gyeonggi-do Seoul Metropolitan

1h 0.000 0.000 0.000 0.000

2h 0.000 0.000 0.000 0.000

3h 0.001 0.000 0.000 0.001

4h 0.002 0.002 0.002 0.002

5h 0.008 0.010 0.007 0.008

6h 0.028 0.033 0.031 0.030

7h 0.109 0.132 0.123 0.118

8h 0.132 0.122 0.127 0.129

9h 0.060 0.048 0.055 0.057

10h 0.048 0.043 0.046 0.046

11h 0.035 0.031 0.036 0.035

12h 0.029 0.028 0.028 0.029

13h 0.035 0.033 0.036 0.035

14h 0.042 0.039 0.040 0.041

15h 0.044 0.045 0.042 0.043

16h 0.054 0.048 0.049 0.051

17h 0.061 0.064 0.062 0.061

18h 0.089 0.095 0.093 0.091

19h 0.075 0.075 0.074 0.074

20h 0.052 0.054 0.052 0.052

21h 0.039 0.046 0.041 0.041

22h 0.033 0.030 0.032 0.032

23h 0.017 0.015 0.016 0.016

24h 0.006 0.006 0.006 0.006

঑௝ ᨕਁ⦽ ₉ᯕෝ ၽᔾ⦹۵ḡ ᔕ⠕ᅕŁ, əᨱ ঑ෙ ᜽ᔍᱱᮥ

ࠥ⇽⦽݅۵ᱱᨱᕽʑ᳕ᩑǍ᪡₉ᄥᖒᯕᯩ݅. ᯕ۵Ǣɚᱢᮝಽ

ݡʑḩ᮹ ᔍ⫭ᱢ እᬊ ⇵ᱶđŝ᮹ ~šᖒ ⨆ᔢᨱ ᯩ݅.

3. ⇵ᱶŝᱶ

3.1 ׆࣭Թڄ

₉పᨱ᮹⦽ݡʑḩ᮹ᔍ⫭ᱢእᬊᮡb₉ప႑⇽ྜྷḩᨱݡ⦽

ⅾ ႑⇽పᨱb ₉ప ႑⇽ྜྷḩᄥᔍ⫭ᱢ እᬊ ᬱ݉᭥ෝŒ⦹ᩍ

ᔑᱶࡽ݅. ᯕভ, ₉ప႑⇽ྜྷḩᨱݡ⦽ⅾ႑⇽పᮡⅾᵝ⧪Ñญ᪡

⠪Ɂ☖⧪ᗮࠥᨱ⧕ݚ⦹۵႑⇽ĥᙹ᮹Œᮝಽᔑᱶࡽ݅. ᯝၹᱢᮝ ಽݡʑḩ᮹ᔍ⫭ᱢእᬊ⇵ᱶ᜽, ⪹Ğᇥ᧝ᨱᕽ۵᜾(1)᪡zᯕ

⦹൉ⅾᵝ⧪Ñญ᪡⦹൉⠪Ɂ☖⧪ᗮࠥෝᱢᬊ⦹Łᯩᮝ໑, Ʊ☖

ĥ⫮ᇥ᧝ᨱᕽ۵᜾(1) ੱ۵᜾(2)᪡zᯕ℉ࢱၰእ℉ࢱ᜽eݡ ᮹ⅾᵝ⧪Ñญ᪡b᜽eݡ᮹⠪Ɂ☖⧪ᗮࠥᨱݡ⦽႑⇽ĥᙹ᮹

Œᮥ ᱢᬊ⦹Ł ᯩ݅.

_ƃ

á ā

_ƃ

ƔƉƒZ ƃƄÞƔß Z Ɓ

_ƃ

(1)

_ƃ

á ā

_ƃ

^ÞƔƉƒ

^ƎƃſƉ

^{Z ƃƄ}

^ƎƃſƉ

ÞƔß Z ⯿Ꭷ⤗⃤∳୛

âƔƉƒ

^{ƌƍƌƎƃſƉ}

Z ƃƄ

^{ƌƍƌƎƃſƉ}

ÞƔß Z ᶛ⯿Ꭷ⤗⃤∳୛ß Z Ɓ

_ƃ

(2)

ᩍʑᕽ,

ƃ

: ₉ప ႑⇽ྜྷḩ(e)ᨱ ݡ⦽ ᔍ⫭ᱢ እᬊ(ᬱ) Ɓ

_ƃ

: ₉ప႑⇽ྜྷḩ(e)ᨱݡ⦽ᔍ⫭ᱢእᬊᬱ݉᭥(ᬱ/g) ƔƉƒ : ⅾ ᵝ⧪Ñญ(km)

ƃƄÞƔß : ᗮࠥ( Ɣ )᮹ ႑⇽ĥᙹ(g/km)

᜾(1, 2)ෝᔕ⠕ᅕ໕, ݡʑḩ᮹ᔍ⫭ᱢእᬊᮡ☖⧪ప᫙ᨱ☖

⧪ᗮࠥa ⧉̹ Łಅࡹ۵ߑ, ☖⧪ᗮࠥ۵ ႑⇽ĥᙹ᪡ እᖁ⩶ᱢᯙ

šĥᨱᯩʑভྙᨱ༉⩶ᨱၹᩢࡽ☖⧪ᗮࠥ۵ݡʑḩ᮹ᔍ⫭ᱢ

እᬊᨱ ⓑ ᩢ⨆ᮥ ၙ⋁ ᙹ ᯩ݅. ঑௝ᕽ ⦹൉ ⠪Ɂ ☖⧪ᗮࠥ᪡

᜽eݡə൚݉᭥᮹☖⧪ᗮࠥᨱ⧕ݚ⦹۵႑⇽ĥᙹᱢᬊᯕݡʑḩ ᮹ ᔍ⫭ᱢ እᬊᨱ ᨕ۱ ᱶࠥ᮹ ᩢ⨆ᮥ ၙ⊹۵ḡ ᇥᕾ⦽݅.

ᯕෝ᭥⧕᜾(1, 2)ෝᱢᬊ⦹ᩍݡʑḩ᮹ᔍ⫭ᱢእᬊᮥ⇵ᱶ⦹

Ł, 1᜽e݉᭥᮹☖⧪႑ᱶᨱ᮹⦽ݡʑḩ᮹ᔍ⫭ᱢእᬊᮥ⇵ᱶ⦹

ᩍəđŝॅᮥbbእƱ⧕ᅙ݅. 1᜽e݉᭥᮹☖⧪႑ᱶᨱ᮹⦽

ݡʑḩᔍ⫭ᱢእᬊ⇵ᱶᱩ₉۵Fig. 1ŝz݅. b᜽eݡᄥ(24᜽e) O/DෝaŖ⦹Ł, ᯕෝᙹࠥǭօ✙ᬭⓍᨱ☖⧪႑ᱶ⦽⬥᜽eݡᄥ

ݡʑḩᔍ⫭ᱢእᬊᮥ⇵ᱶ⦽݅. ᯕভᗮࠥᄥ႑⇽ĥᙹၰ₉ప

႑⇽ྜྷḩ᮹ᔍ⫭ᱢእᬊᬱ݉᭥۵Korea Development Institute

(2008) ᮹ ⢽ᵡḡ⋉ᨱ ᱽ᜽ࡽ sᮥ ᱢᬊ⦹ᩡ݅.

(4)

Fig. 2. Traffic Ratio for Hourly of Seoul Metropolitan Area

Table 2. A Initial Cluster Center

1’ Cluster 2’ Cluster A Initial Cluster Center 945 21,042

Table 3. Distance between Clusters for Hourly

Hour Cluster Distance Hour Cluster Distance

5h 1 4630.625 15h 1 1114.375

6h 1 1055.625 16h 1 2349.375

7h 2 2403.500 17h 1 4064.375

8h 2 4224.500 18h 2 1903.500

9h 1 3282.375 19h 2 4724.500

10h 1 1625.375 20h 1 2573.375

11h 1 181.625 21h 1 679.375

12h 1 1287.625 22h 1 686.625

13h 1 242.625 23h 1 3316.625

14h 1 720.375 24h 1 5007.625

Table 4. Cluster Centroid

1’s Cluster 2’s Cluster A Final Cluster Centroid 5952.63 16817.50

Table 5. Distance between Cluster Centroids

1’s Cluster 2’s Cluster

1’s Cluster - 10864.875

2’s Cluster 10864.875 -

Fig. 3. Classification of Time Zone by Cluster Analysis

3.2 ധෘࢼ୨O/D ୀ߹ଭԧվ

3.2.1 ਏԩ۩࣢O/D ୀ߹ଭԧվ

ᙹࠥǭaǍ☖⧪ᝅ┽᳑ᔍ᮹303,308}ᬱ᜽ᯱഭෝᯕᬊ⦹ᩍ

Ŗಽ☖⧪ᙹ݉ᨱݡ⦽⇽ၽ᜽eŝࠥ₊᜽e᮹ᵲe᜽eᮥʑᵡᮝ ಽ᜽eݡᄥ☖⧪పእᵲᮥᔑᱶ⦹ᩡᮝ໑, ᯕෝʑᵡᮝಽb᜽eݡ ᄥO/DෝaŖ⦹ᩡ݅. ᯕ۵ᅙᩑǍᨱᕽࠥಽᨱ႑ᱶࡹ۵☖⧪పॅ

ᮡ⇽ၽ᜽eŝࠥ₊᜽e᮹ ᵲe᜽eᱶࠥᨱ᳕ᰍ⦹۵☖⧪పᯙ

äᮝಽ ᱥᱽ⦹ᩡʑ ভྙᯕ݅.

ᙹࠥǭ3}ḡᯱℕᨱݡ⦽᜽eݡᄥ☖⧪పእᵲᮥ⇵ᱶ⦽đŝ ۵Table 1ŝz݅. ⦹൉ᵲ☖⧪పእᵲᯕaᰆ׳ᮡ᜽eݡ۵

8᜽ᯕ໑, ⦹൉ ☖⧪ప᮹ ᧞ 13%ෝ ₉ḡ⦹۵ äᮝಽ ӹ┡ԍ݅.

əญŁFig. 2ෝᅕ޵௝ࠥ᜽eݡᨱ঑ෙ☖⧪እᵲ᮹ⓑ₉ᯕa

ၽᔾ⦹۵ äᮥ ⪶ᯙ⧁ ᙹ ᯩ݅.

3.2.2 షܪणషܪO/D ୀ߹ଭԧվ

Ʊ☖ᙹ᫵ᇥᕾᨱᕽᯝၹᱢᮝಽǍᇥ⦹Łᯩ۵℉ࢱ እ℉ࢱO/D

ᯱഭෝaŖ⦹ʑ᭥⧕, ᙹࠥǭaǍ☖⧪ᝅ┽᳑ᔍ᮹ᬱ᜽ᯱഭᨱᕽ

᜽eݡᄥ☖⧪పᮥ⇵ᱶ⦹Ł, ᯕෝʑᵡᮝಽǑḲᇥᕾ⦹ᩍ℉ࢱ᜽

e ə൚ŝ እ℉ࢱ᜽e ə൚ᮝಽ ᇥඹ⦹ᩡ݅. əญŁ b ə൚᮹

ḡᗮ᜽eŝ☖⧪እᵲᮥđᱶ⦹ᩡ݅. ᯕভ, ᜽eݡᄥ☖⧪పእᵲᯕ

0%ᨱ aʭᬕ 0᜽~4᜽(4᜽e)۵ ᇥᕾᨱᕽ ᱽ᫙⦹ᩡ݅. ᩍʑᕽ, ǑḲᇥᕾ(Cluster Analysis)ᮡ݅ᙹ᮹ݡᔢॅᮥəॅᯕᗭᮁ⦹۵

✚ᖒᮥ☁ݡಽᮁᔍ⦽ݡᔢॅӝญə൚⪵⦹۵݅ᄡప☖ĥʑჶᯕ ໑, ǑḲᇥᕾᨱ᮹⧕⩶ᖒࡽbə൚ᮥǑḲ(Cluster)ᯕ௝⦽݅.

Table 2۵᜽eݡॅᨱݡ⦽2}ǑḲ᮹Ⅹʑᵲᝍs, ᷪ, ǑḲᦉ ᦸᮥӹ┡ԙ݅. ᯕⅩʑǑḲᵲᝍsᮥʑᵡᮝಽb᜽eݡ᪡b

ǑḲ᮹ᵲᝍᱱŝ᮹Ñญෝĥᔑ⦹ᩍÑญaaᰆaʭᬕǑḲᨱ

᜽eݡෝ ⧁ݚ⦹í ࡽ݅.

Table 3ᮡ b ᜽eݡ᮹ sŝ ⧕ݚ ǑḲ᮹ ᵲᝍᱱe Ñญෝ

ӹ┡ԕ໑, 7᜽ 8᜽ 18᜽ 19᜽۵2ǑḲᨱ, ӹນḡ᜽eݡ۵1ǑḲ ᨱ ⡍⧉ࡹ۵ äᮝಽ ӹ┡ԍ݅.

b᜽eݡᨱݡ⦽2}ǑḲ᮹↽᳦ᵲᝍsᮡTable 4᪡zᮝ໑,

↽᳦ ǑḲᵲᝍe Ñญ۵ Table 5᪡ zᯕ ӹ┡ԍ݅.

ᯕ᪡zᮡǑḲᇥᕾđŝᨱ঑௝, ᅙᩑǍᨱᕽ℉ࢱ᜽eݡ۵

7᜽ 8᜽ 18᜽ 19᜽ಽᖅᱶ⦹Ł, እ℉ࢱ᜽eݡ۵ӹນḡ᜽eݡ ಽᖅᱶ⦹ᩡ݅. əญŁTable 6ŝzᯕ℉ࢱ᜽eݡ᮹1᜽e⠪Ɂ

☖⧪పእᵲᮡ10.3%, እ℉ࢱ᜽eݡ᮹1᜽e⠪Ɂ☖⧪పእᵲᮡ

3.65%ಽ⇵ᱶ⦹ᩡ݅. ᯕ్⦽☖⧪పእᵲᮥʑᵡᮝಽ℉ࢱ እ℉ࢱ

O/D ᯱഭෝ aŖ⦹ᩡ݅.

(5)

Table 6. Average Traffic Ratio of Peak and Nonpeak

Hour Traffic

Ratio Sum Total Duration

Average Ratio

Peak Time

7h 0.118

41.3% 4 10.3%

8h 0.129 18h 0.091 19h 0.074

Non peak Time

5h 0.008

58.4% 16 3.65%

6h 0.030 9h 0.057 10h 0.046 11h 0.035 12h 0.029 13h 0.035 14h 0.041 15h 0.043 16h 0.051 17h 0.061 20h 0.052 21h 0.041 22h 0.032 23h 0.016 24h 0.006

Table 7. Estimation Equation of Mobile Emission Factor for Vehicles·Air Pollutants (‘09)

Estimation Equation _«^Ï

CO

Auto á ÏÏíÑ×ÖÎZƔ^{à ×íÕÔÕÖ} 0.999 Bus á ÎÕíÒÔÐÎZƔ^{à ×íÑÐÎÖ} 1.000 Truck á Î×íÐ×ÒÑZƔ^{à ×íÒÐÔÏ} 1.000

HC

Auto á ÕíÓÏÎÐZƔ^{à ÎíÏÖÎÑ} 0.999 Bus á ÑíÓÓÑÕZƔ^{à ×íÐÎÓÔ} 1.000 Truck á ÏíÔÕ×ÕZƔ^{à ×íÒÓÑÓ} 1.000

NOx

Auto á ×íÏÕ×ÖâÒíÓÓÓÖîƔ 0.983 Bus á ÎÑíÓÐÐÓà ×íÑÏÎÏƔ

â×í××ÒÐƔ^Ïà ×í××××ÏƔ^Ð 0.997 Truck á ÎÕíÑÖÔÔZƔ^{à ×íÑÐÎÖ} 0.979

PM

Auto á ×í×Õ×ÐZƔ^{à ×íÑÓÕÑ} 0.884 Bus á ÎíÑÏÒÔZƔ^{à ×íÐÕÓÒ} 0.999 Truck á ×íÎÐÐÓâÎíÏÎÖÖîƔ 0.953

CO2

Auto á Î×ÖÕíÒÔZƔ^{à ×íÑÒÖÔ} 0.987 Bus á ÎÐÓÕí×ÔZƔ^{à ×íÐ×ÖÎ} 1.000 Truck á ÎÔÖÐíÔ×ZƔ^{à ×íÐÔÖÔ} 0.964

CH₄

Auto á ×í××ÓÕâ×íÐÓÒÑîƔ 0.990 Bus á ×í×ÎÐÖâ×íÐÒÓÐîƔ 0.963 Truck á ×í×ÎÎÓâ×íÏÓÑÐîƔ 0.938

N₂O

Auto á ×íÓÏÏÒZƔ^{à ×íÔÒÖÑ} 0.980 Bus á ×í××ÕÕâ×íÎÓÑÔîƔ 0.939 Truck á ×í××ÓÕâ×íÏÕÕÓîƔ 0.988 Note. : Emission Factor (g/km)

_Ɣ : Speed (km/h)

Table 8. Social Cost of Air Pollutants (‘09) (Unit: /kg) CO HC NOx PM SOx CO₂ CH₄ N₂O Social

Cost 8,475 9,849 10,196 33,289 11,452 79 1,661 24,523 Source : Korea Environment Institute (2002), A Comparative Study on

the Environmental Aspects of the Surface Transportation.

Tol R. S. J. (2009), The Economic Effects of Climate Change, J. Econ. Perspect.

IPCC (1995), Second Assessment Report: Climate Change.

http://ecos.bok.or.kr/

Note1 : CO, HC, NO_X, PM, SO_XۆԐধۺҼڌڙɳڦə2000ț

şܵڷͿԓ܁ॢॢĶঞą܁޾थÀٍĵڙ(2002)ۆٍ

ĵĀęقʂ३ՙҼۙНÀݓս(2000ț: 84.866, 2009ț:

112.8)εۺڌॠيঞԓॠٕڼ

Note2 : CO2ۆԐধۺҼڌڙɳڦə1995țşܵڷͿԓ܁ॢ

Richard Tol(2009)ۆٍĵĀęقʂ३ՙҼۙНÀݓս (1995ț: 69.873, 2009ț: 112.8), 2009ț12ښşܵۆঞڱ (1,159ڙ/$), ࢏ՙٮۋԓজ࢏ՙۆқۙҼ(12/44)εۺڌ ॠي߸܁(151$×112.8/69.873×1159/1000×11/44) Note3 : CH4ٮN2OۆԐধۺҼڌڙɳڦəIPCC (1995)قŖä

ॢ٣֬À֟ѻݓĵ٣Ǧজݓսεۺڌॠي߸܁

(CO₂:CH₄:N₂O = 1:21:310)

3.3 ఙஂ࣢ুܑ࣢ࢼౢծ৤૕ఙ߆ࢼౢࢄா࣢ॷฎୡ

ण૳଀ۚ଍ଭէ୨

3.3.1 ఙஂ࣢ুܑ࣢ࢼౢծ৤

ᅙᩑǍᨱᕽᱢᬊ⦽₉᳦ᄥ ᗮࠥᄥ႑⇽ĥᙹ۵݅᧲⦽₉᳦ᄥ ᖙᇡ₉᳦ᄥ ₉పᩑഭᄥ ₉ప႑⇽ྜྷḩᄥ ᩑ᜾ᄥ႑⇽ĥᙹෝ≉

⧊⦹ᩍᙹ᫵ᇥᕾʑᵡ᮹႑⇽ĥᙹಽᱶญ⦽ᯕȽḥ॒(2012)᮹

aᄡᱢ႑⇽ĥᙹ⇵ᱶ༉⩶ᮥ⪽ᬊ⦹ᩍ2009֥ʑᵡ᮹႑⇽ĥᙹෝ

Table 7 ŝ zᯕ ⇵ᱶ⦹ᩡŁ, ᯕෝ ⪽ᬊ⦹ᩡ݅.

3.3.2 ఙ߆ࢼౢࢄா࣢ॷฎୡण૳଀ۚ଍

₉ప႑⇽ྜྷḩᄥᔍ⫭ᱢእᬊ᮹ᬱ݉᭥۵UNEP(1998), KAIST (1998)᮹ᩑǍđŝෝᯕᬊ⦹ᩍݡʑ᪅ᩝྜྷḩ5᳦ᨱݡ⦽ᔍ⫭ᱢ

እᬊᬱ݉᭥ෝᱶญ⦽Korea Environment Institute(2002)᮹ᩑǍ đŝෝᰍᯙᬊ⦹ᩡ݅. əญŁ᪉ᝅaᜅ۵Tol R. S. J.(2009)ᨱ

᮹⧕ᩑǍࡽ┥ᗭ1★ݚᔍ⫭ᱢእᬊᯙ87$(1995֥ʑᵡ)ᮥ2009

֥ a⊹ಽ ᅕᱶ⦹ᩍ ⪽ᬊ⦹ᩡ݅.

(6)

Table 9. Social Cost of Air-Quality based on Daily-dependent Traffic Assignment

Social Cost of Air-Quality (/Year)

Social Cost of Air-Quality (Billion Won/Day) 19,647,710,855,860 53.83

Table 10. Social Cost of Air-Quality based on Peak and Nonpeak- dependent Traffic Assignment

Social Cost of Air-Quality

(/Year)

Social Cost of Air-Quality (Billion Won) Peak Time (1h) 2,162,139,231,970 5.92 Nonpeak Time (1h) 721,986,368,416 1.98 Day (24h) 20,200,338,822,535 55.34

Table 11. Social Cost of Air-Quality based on Time-dependent Traffic Assignment

(Unit: /year) Social Cost of Air-Quality Social Cost of Air-Quality 5h 155,260,986,364 15h 852,768,246,968 6h 589,486,141,908 16h 1,016,613,700,760 7h 2,528,837,155,954 17h 1,225,835,171,719 8h 2,809,238,927,359 18h 1,882,201,995,146 9h 1,142,140,310,718 19h 1,504,132,399,127 10h 913,929,226,859 20h 1,037,479,935,088 11h 690,405,578,225 21h 811,831,268,576 12h 569,818,723,125 22h 629,743,980,758 13h 690,405,578,225 23h 311,818,121,777 14h 811,831,268,576 24h 116,322,070,068 Totals: 20,290,100,787,300 (55.59 billion won/day)

4. ⇵ᱶđŝ

4.1 ଵധෘࢼ୨઩ଭ෉էր

ᯝO/D᮹☖⧪႑ᱶᨱ᮹⦽ݡʑḩ᮹ᔍ⫭ᱢእᬊᮥ⇵ᱶ⦹ʑ

᭥⧕, ᬑᖁᙹࠥǭօ✙ᬭⓍᨱݡ⧕⦽᜽eʑᵡ᮹ᬊపᨱᬊపᅕᱶ ĥᙹෝᱢᬊ⦹ᩍᯝᬊపᮝಽ⪹ᔑ⦽⬥, ᯝO/Dෝ☖⧪႑ᱶ⦹ᩡ

݅. əญŁ☖⧪႑ᱶđŝෝၵ┶ᮝಽbยⓍ᮹ᵝ⧪ᗮࠥᨱ঑ෙ

႑⇽ĥᙹ᪡ⅾᵝ⧪Ñญෝᱢᬊ⦹ᩍݡʑḩ᮹ᔍ⫭ᱢእᬊᮥ⇵ᱶ

⦹ᩡ݅. əđŝ۵Table 9᪡zᯕ538.3(ᨖᬱ/ᯝ)ಽ⇵ᱶࡹᨩ݅.

4.2 షܪणషܪധෘࢼ୨઩ଭ෉էր

℉ࢱ᜽e᮹⠪Ɂ☖⧪እᵲᯙ10.3%᪡እ℉ࢱ᜽e᮹⠪Ɂ☖

⧪እᵲᯙ3.65%ᨱ⧕ݚ⦹۵℉ࢱ እ℉ࢱO/DෝaŖ⦹Ł, ᯕෝ

☖⧪႑ᱶ⦹ᩍݡʑḩ᮹ᔍ⫭ᱢእᬊᮥ⇵ᱶ⦹ᩡ݅. ᯕভ, b᜽eݡ ᮹☖⧪႑ᱶᨱ঑ෙࠥಽǍeᄥ☖⧪ᗮࠥෝ⇵ᱶ⦹ᩡŁ, ᔍ⫭ᱢ

እᬊ⇵ᱶđŝTable 10ŝzᯕ℉ࢱ1᜽eᮡ59.2(ᨖᬱ/᜽e), እ℉ࢱ1᜽eᮡ19.8(ᨖᬱ/᜽e)ᮝಽᇥᕾࡹᨩ݅. b᜽eݡᄥḡ ᗮ᜽eᯙ4᜽eŝ16᜽eᮥᱢᬊ⦹ᩍᔑᱶ⦽⦹൉݉᭥᮹ⅾݡʑḩ

ᔍ⫭ᱢ እᬊᮡ 553.4(ᨖᬱ/ᯝ)ᮝಽ ӹ┡ԍ݅.

4.3 ਏԩ۩࣢ധෘࢼ୨઩ଭ෉էր

b᜽eݡᄥO/DෝaŖ⦹Ł, ᯕෝb᜽eݡᄥಽ☖⧪႑ᱶ⦹ʑ

᭥⧕᯲ᖒ⦽TransCAD Macroෝᯕᬊ⦹ᩍ24᜽e᮹b᜽eݡᨱ

Ʊ☖ᙹ᫵ᩩ⊂ᮥᙹ⧪⦹ᩡ݅. əđŝෝၵ┶ᮝಽb᜽eݡ᮹ݡʑ ḩእᬊᮥ⇵ᱶ⦹ʑ᭥⦽Programᮥ᯲ᖒ⦹ᩡŁ, ᇥᕾࡽ᜽eݡᄥ

ݡʑḩ᮹ᔍ⫭ᱢእᬊᮡTabel 11ŝz݅. əญŁb᜽eݡ᮹

ݡʑḩᔍ⫭ᱢእᬊᮥ⧊ᔑ⦽đŝ, ⦹൉ⅾݡʑḩᔍ⫭ᱢእᬊᮡ

555.9( ᨖᬱ/ᯝ)ᮝಽ ӹ┡ԍ݅.

4.4 ਏॷ୥ܑౢ

ℌṙ, ᜽eݡᄥݡʑḩ᮹ᔍ⫭ᱢእᬊᮡᯝ⠪Ɂ↽ᗭ3.2ᨖᬱ (0᜽)ᨱᕽ↽ݡ77ᨖᬱ(8᜽)ʭḡ᧞24႑᮹₉ᯕaၽᔾ⦹۵äᮥ

⪶ᯙ⦹ᩡ݅. ݡʑḩa⊹۵᜽eݡᨱ঑௝ⓑ₉ᯕaᯩʑভྙᨱ

ݡʑḩ}ᖁᮥ᭥⦽᜽eݡᄥƱ☖ᙹ᫵šญ᮹⦥᫵ᖒᮥᰍ⪶ᯙ⧁

ᙹᯩᮝ໑, ✚⯩ᯕ۵݅᧲⦽Ʊ☖-⪹Ğᱶ₦ᵲ℉ࢱ᜽eݡƱ☖ᙹ

᫵ෝ šญ⧁ ᙹ ᯩ۵ ᱶ₦᮹ ᵲ᫵ᖒᮥ ᜽ᔍ⦽݅.

ࢹṙ, ᯝ☖⧪႑ᱶŝ1᜽e݉᭥᮹☖⧪႑ᱶᨱ঑ෙݡʑḩ᮹

ᔍ⫭ᱢእᬊᮡእƱݡᔢ᜽eᨱ঑௝᧞12%~286%᮹₉ᯕa

ၽᔾ⦹۵äᮥ⪶ᯙ⦹ᩡ݅. ᷪ, Fig. 4᪡zᯕ, ᯝ☖⧪႑ᱶᨱ᮹⦽

ݡʑḩ᮹ᔍ⫭ᱢእᬊᮡ᧞26.92ᨖᬱ/᜽eᮝಽᔑᱶࡹ໑, 1᜽e

݉᭥᮹☖⧪႑ᱶᨱ᮹⦽ᔍ⫭ᱢእᬊᮡ᧞3.2ᨖᬱ/᜽e~77ᨖᬱ/᜽

eᮝಽ ӹ┡ԍ݅. Fig. 3ŝ zᯕ ᇥᕾ ᜽eݡᄥ ☖⧪ప ₉ᯕ᪡

޵ᇩᨕ႑⇽ĥᙹ۵ᗮࠥᨱݡ⧕እᖁ⩶᮹šĥෝaḡʑভྙᨱ

ḡℕaฯᯕၽᔾ⦹۵℉ࢱ᜽eݡᨱ۵׳ᮡ☖⧪పእᵲᯕᔢ᮹

ᔍ⫭ᱢእᬊᯕᔑ⇽ࡹʑভྙᯕ݅. ᷪ, ࠥಽᯕ࠺᪅ᩝᬱ႑⇽పŝ

ݡʑḩ᮹ᔍ⫭ᱢእᬊᨱݡ⦽⇵ᱶđŝ᮹~šᖒ⨆ᔢᮥ᭥⧕ᕽ۵

᜽eݡᄥಽ ᖙᇥ⪵ࡽ O/D᮹ ᱢᬊŝ ☖⧪႑ᱶᯕ ⦥᫵⦹݅.

ᖬṙ, ᯝ݉᭥☖⧪႑ᱶŝ᜽eݡᄥ☖⧪႑ᱶႊჶᨱ঑ෙݡʑ ḩ᮹ᔍ⫭ᱢእᬊᮡbb538.3ᨖᬱ/ᯝ, 555.9ᨖᬱ/ᯝᮝಽ᧞18ᨖ ᬱ/ᯝ(᧞6,536ᨖᬱ/֥)᮹₉ᯕaၽᔾ⦹۵äᮥ⪶ᯙ⦹ᩡ݅. ⩥ᰍ

⪹Ğᇡ᮹CAPSSᨱᕽ۵ᯝ⠪Ɂ☖⧪ᗮࠥ᪡ⅾᵝ⧪Ñญෝᱢᬊ⦹

ᩍ႑⇽పၰݡʑḩእᬊᮥᔑᱶ⦹Łᯩ۵ߑ, ᯕ۵᧞6,536ᨖᬱ/֥

᮹᪅₉aၽᔾ⧁ᙹᯩ݅۵äᮥ᮹ၙ⦽݅. ᷪ, CAPSSᨱ᮹⦽

~šᱢᯙࠥಽᯕ࠺᪅ᩝᬱ႑⇽పၰݡʑḩእᬊ᮹⇵ᱶđŝෝ

ʑݡ⦹ʑᨱ۵⦽ĥaᯩ݅۵äᮥ⪶ᯙ⧁ᙹᯩᮝ໑, Ʊ☖ᙹ᫵ᩩ⊂

ʑჶ(Traffic Demand Analysis: TDA)ŝ᮹ᩑĥ॒ᮥ☖⦽ႊჶು

(7)

Fig. 4. Social Cost of Air-Quality for Hourly based on Various Traffic Assignment

Fig. 5. Social Cost Comparison of Air-Quality based on Various Traffic Assignment

}ᖁᯕ ᫵Ǎࡽ݅.

֘ṙ, ℉ࢱ እ℉ࢱ☖⧪႑ᱶᨱ᮹⦽ݡʑḩ᮹ᔍ⫭ᱢእᬊᮡ

ⅾ553ᨖᬱ/ᯝᮝಽb᜽eݡᄥ☖⧪႑ᱶᨱ᮹⦽ᔍ⫭ᱢእᬊᯙ

ⅾ555.9ᨖᬱ/ᯝŝእƱ⧕ᅝভ1%᮹₉ᯕӹḡᦫ۵äᮥ⪶ᯙ⦹

ᩡ݅. ᷪ, ʑ᳕℉ࢱ እ℉ࢱ☖⧪႑ᱶႊჶᨱ᮹⦽ݡʑḩ⠙ᯖ

ᮡ1᜽e݉᭥᮹ᇥᕾđŝ᪡እƱ⧕ⓑ᪅₉aᨧʑভྙᨱ⩥ᰍ

ᙹ᫵ᩩ⊂ʑჶ᮹⧊ญᖒᮥᰍ⪶ᯙ⧁ᙹᯩ݅. ݅อ, ᯕ۵ǑḲᇥᕾᨱ

᮹⧕ ࠥ⇽ࡽ ℉ࢱ እ℉ࢱ እᵲŝ ḡᗮ᜽eᮥ ᯕᬊ⦹ᩍ ᔍ⫭ᱢ

እᬊᮥᇥᕾ⦹ᩡʑভྙᨱə₉ᯕ۵޵ၙၙ⦹íӹ┡ӽäᮝಽ

❱݉ࡽ݅.

5. đು

ᅙᩑǍᨱᕽ۵ᇥᕾ᜽eݡǍᇥ݉᭥a₉ప႑⇽ྜྷḩ᮹႑⇽ప ŝəᨱݡ⦽ݡʑḩ᮹ᔍ⫭ᱢእᬊ⇵ᱶđŝᨱᨕਁ⦽ᩢ⨆ᮥ

ၙ⊹۵ḡ ᯦᷾⦹ᩡᮝ໑, ᅙ ᩑǍෝ ☖⧕ ࠥ⇽ࡽ đŝ۵ ݅ᮭŝ

z݅. ℌṙ, ݡʑḩ᮹ᔍ⫭ᱢእᬊᮡᇥᕾݡᔢ᜽eݡᨱ঑௝᧞

24႑᮹₉ᯕaၽᔾ⦹ᩡᮝ໑, ᯕෝ☖⧕᜽eݡᄥƱ☖ᙹ᫵ෝᇥᔑ

᜽┅ʑ᭥⦽Ʊ☖-⪹Ğᱶ₦᮹ᵲ᫵ᖒᮥᝅḩᱢᮝಽᰍ⪶ᯙ⦹ᩡ݅.

ࢹṙ, ᯝ ⠪Ɂ ☖⧪ᗮࠥ᪡ 1᜽e ݉᭥᮹ ☖⧪ᗮࠥ ᱢᬊᨱ ঑ෙ

ݡʑḩ᮹ᔍ⫭ᱢእᬊᮡᇥᕾ᜽eݡᨱ঑௝↽ᗭ12%ᨱᕽ↽ݡ

286%₉ᯕaၽᔾ⦹۵äᮝಽӹ┡ԍ݅. ᯕ۵~šᱢᯙࠥಽᯕ࠺

᪅ᩝᬱ႑⇽పၰݡʑḩእᬊ⇵ᱶᮥ᭥⧕, ᜽eݡᄥಽᖙᇥ⪵ࡽ

O/D᮹aŖŝ☖⧪႑ᱶႊჶು᮹ᱢᬊᯕᵲ᫵⦽ᇡᇥᯕ໑, ✚⯩

ᯝ݉᭥᮹☖⧪႑ᱶႊჶᮝಽ۵ᱶ⪶⦽ݡʑḩ⇵ᱶᨱ⦽ĥaᯩᮭ

ᮥ ᮹ၙ⦽݅. ᖬṙ, CAPSSᨱᕽ᮹ ᯝ⠪Ɂ ݉᭥᮹ ᇥᕾ đŝ۵

᜽e݉᭥᮹ᇥᕾđŝ᪡እƱ⧕ᩑ⠪Ɂ᧞6,536ᨖᬱ᮹₉ᯕa

ၽᔾ⦹۵äᮝಽӹ┡ԍ݅. ᯕ۵⇵ᱶđŝ᮹~šᖒ⊂໕ᨱᕽ᮹

CAPSS ᨱ ݡ⦽ ⦽ĥෝ ӹ┡ԙ äᮝಽ, TDA᪡᮹ ᩑĥ ᇥᕾŝ

zᮡ⦥᫵ᖒᮥ᜽ᔍ⦽݅. ֘ṙ, aǍ☖⧪ᝅ┽᳑ᔍᯱഭ᮹☖⧪పᮥ

ʑᵡᮝಽǑḲᇥᕾ⦽đŝ, ℉ࢱ᜽eŝእ℉ࢱ᜽eᮡbb4᜽e ŝ16᜽eᮝಽᇥඹࡹᨩᮝ໑, bb᮹☖⧪Ḳᵲᮉᮡ10.3%, 3.65%

ಽᇥᕾࡹᨩ݅. ᯕ۵Ʊ☖ᙹ᫵ᇥᕾᨱᕽ᮹℉ࢱ እ℉ࢱO/DaŖᨱ

⪽ᬊࢁᙹᯩᮝ໑, ₉ప႑⇽పၰəᨱݡ⦽ݡʑḩa⊹⇵ᱶđŝ ᮹~šᖒ⨆ᔢᨱʑᩍ⧁ᙹᯩ݅. ݅ᖐṙ, ℉ࢱ እ℉ࢱ☖⧪႑ᱶ

ႊჶᨱ᮹⦽ݡʑḩ}ᖁ⠙ᯖᮡ1᜽e݉᭥᮹ᇥᕾđŝ᪡እƱ⧕

1% ᮹᪅₉aၽᔾ⦹ḡᦫ۵äᮝಽӹ┡ԍ݅. ᯕ۵₉ప႑⇽ప

ၰݡʑḩa⊹ෝ⇵ᱶ⧉ᨱᯩᨕ℉ࢱ እ℉ࢱ᜽eݡǍᇥႊჶ᮹

ᱢ⧊ᖒᮥ ᜽ᔍ⦽݅.

ᅙᩑǍᨱᕽ۵ݡʑḩ᮹ᔍ⫭ᱢእᬊ⇵ᱶđŝᨱᩢ⨆ᮥၙ⋁

ᙹᯩ۵᫵ᗭᵲ⦹ӹᯙ, ࠥಽǍe᮹☖⧪పŝ☖⧪ᗮࠥෝđᱶḡ

ᮥᙹᯩ۵☖⧪႑ᱶ᮹᜽eݡǍᇥᮥᵲᝍᮝಽእƱᇥᕾ⦹ᩡḡ อ, ə᫙႑⇽ྜྷḩᄥᔍ⫭ᱢa⊹ၰḡᩎᄥᔍ⫭ᱢa⊹ᨱݡ⦽

݅ෙ❱݉ʑᵡ, ☖⧪႑ᱶʑჶ᮹⦽ĥᨱʑᯙ⦽☖⧪ᗮࠥ᮹⇵ᱶ᪅

₉, ₉పaqᗮ᮹ၙၹᩢ॒ݡʑḩ᮹ᔍ⫭ᱢእᬊᨱᩢ⨆ᮥၙ⋁

ᙹᯩ۵ᯙᯱॅᮡ݅᧲⦹ʑভྙᨱ⨆⬥ᯕॅᨱݡ⦽ᩢ⨆ŝ޵ᇩᨕ

ݡʑḩ᮹ᔍ⫭ᱢእᬊa⊹⇵ᱶ᮹ྙᱽᱱᮥᅕ᪥⦹ʑ᭥⦽ĥᗮᱢ ᯙ ᩑǍa ᫵Ǎࡽ݅.

qᔍ᮹ɡ

ᯕםྙᮡ2012֥ࠥᱶᇡ(Ʊᮂŝ⦺ʑᚁᇡ)᮹ᰍᬱᮝಽ⦽ǎᩑ Ǎᰍ݉᮹ḡᬱᮥၼᦥᙹ⧪ࡽᩑǍ(NRF-2010-0029446)᯦ܩ݅.

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