**** ⦽ǎÕᖅʑᚁᩑǍᬱ ᱥᯥᩑǍᬱ ([email protected])
Received November 30 2012, Revised February 5 2013, Accepted April 25 2013
Copyright ⵑ 2013 by the Korean Society of Civil Engineers
ǣǣȀȀǤǤȀͳͲǤͳʹͷʹȀ ǤʹͲͳ͵Ǥ͵͵ǤͶǤͳͳͻ Ǥ ǤǤ
ᦂḚ#⺺≾⌾#Ꮾ⯦⮎#⮿㭣ⴂ#↶㐖ᡒ#ⱒⴶ⮎#ኾ㬚#⮮ጪ=#
ᦂḚ⸮ሲኺ#ጎ㝳㡷⛯ⴂ#⻏⢪⳺Ḛ
ଲକฃ ȵઑశ ȵܑլ ȵହ෮
Lee, Yuhwa*, Yang, Inchul**, Kim, Do-Gyeong***, Lim, Ji Hyun****
A Study on the Factors Affecting Air Temperature on Roadside : Focusing on Road Conditions and Traffic Characteristics
ABSTRACT
It turned out that there was a direct or an indirect relationship among global warming, urban heat island effects, urban and traffic environments, and public's health. In particular, unusual climate phenomena such as frequent heavy rainfall and scorching heat in a row that had rarely happened before have a negative effect on quality of life for people living in urban areas. This study focuses on the effects of roadway geometric design and traffic conditions on air temperature of roadside in Seoul Metropolitan Areas, controlling of roadway micro-climate environment. Five roadway segments containing different roadway and traffic conditions in terms of traffic median with trees, street trees, traffic volume and average travel speeds were surveyed. According to statistical results(t-test) from three roadway air temperature regression model estimations, air temperature is found to be different from one another in three periods-morning, afternoon and evening. Regarding roadway geometric design, air temperature of urban roads with vegetated median strips is lower about 1.32.2 degrees in celcius. Higher traffic volumes per lane and lower average travel speeds will tend to increase roadside air temperature, and efficient traffic operation policies can protect from increasing roadside air temperature in urban areas.
Key words : Roadway geometric design, Air temperature on roadside, Urban heat island effects
Ⅹಾ
ḡǍ᪉ӽ⪵᪡ࠥᩕᖍ⩥ᔢ, əญŁࠥၰƱ☖⪹Ğŝࠥၝ᮹Õvᮡᔢ⪙Ḣ읆eᱲᱢᯙšĥಽᯕᨕᲙᯩ݅. ✚⯩ࠥ⡎ᩝၰ⡎ᬑ॒ŝ
zᮡᯕᔢʑ᪉⩥ᔢᮡࠥၝ᮹ᔗ᮹ḩŝšಉࡹᨕᇡᱶᱢᯙᩢ⨆ᮥၙ⊹Łᯩᨕə⩥ᔢᮥ❭ᦦ⦹ʑ᭥⦽ᩑǍa↽ɝ݅᧲⦹íᙹ⧪ࡹŁᯩ
݅. ᅙᩑǍᨱᕽ۵ࠥ⦝ᅖᮉᯕ׳ᮡࠥಽ᮹ʑ⦹Ǎ᳑ၰƱ☖᳑Õᯕࠥಽᵝᄡᇡʑ᪉ᨱၙ⊹۵ᩢ⨆ᮥ❭ᦦ⦹ʑ᭥⦹ᩍᕽᬙࠥಽ5}᮹
ᕽಽᔢᯕ⦽ࠥಽʑ⦹Ǎ᳑ෝaḡŁᯩ۵ḡᱱ᮹ʑ᪉, ࠥ, ⣮ᗮ, Ʊ☖ప, ⠪Ɂ☖⧪ᗮࠥ, ᵲᦺᇥญݡᖅ⊹ᩍᇡ, aಽᰍᖅ⊹ᩍᇡ॒ࠥಽ ᮹⪹Ğ(ၙʑᔢᱢ) ᳑ÕŝᇩᨕࠥಽၰƱ☖⩥⫊ᮥ᳑ᔍ⦹ᩡ݅. T-test ᇥᕾđŝʑ᪉᮹✚ᖒᔢ᪅ᱥ, ԏ, ႅ᮹ʑ᪉ᯕᕽಽᔢᯕ⦹݅Łၾ⩡
Ჭʑভྙᨱࠥಽᵝᄡᇡʑ᪉ᇥᕾ༉⩶ᮡeݡᄥಽbbǍ⇶ࡹᨕ┡ݚ⦽đŝaࠥ⇽ࡹᨩ݅. ࠥಽʑ⦹Ǎ᳑໕ᨱᕽ۵eݡ᪡ᔢšᨧᯕ
ᔾᵲᦺᇥญݡaᖅ⊹ࡽࠥಽ᮹Ğᬑ۵ᖅ⊹⦹ḡᦫᮡࠥಽᨱእ⧕1.3~2.2ᱶࠥ᮹ʑ᪉ᱡq⬉ŝෝᅕᯕ۵äᮝಽӹ┡ԍ݅. Ʊ☖᳑Õ໕ᨱ ᕽ۵⠪Ɂ☖⧪ᗮࠥaԏᦥḩᙹಾ, ₉ಽݚƱ☖పᯕฯᮥᙹಾࠥಽᵝᄡᇡʑ᪉ᯕa۵äᮝಽၾ⩡Ჭ݅. ᕽƱ☖ᬕᩢ໕ᨱᕽᗭ☖ᮥᬱ
⪽⦹í⦹۵ᱶ₦ᮥᙹ⧪⦽݅໕ࠥಽᵝᄡᇡʑ᪉ᮥԏ⇵۵⬉ŝࠥaḩᙹᯩ݅Ł❱݉ࡽ݅.
áᔪᨕ ࠥಽʑ⦹Ǎ᳑, ࠥಽᵝᄡᇡʑ᪉, ࠥᩕᖍ⩥ᔢ
ʪͿėॡFig. 1. Study Flowchart
1. ᕽು
1.1 ֜ଭࢼլրࡧୡ
ḡǍ᪉ӽ⪵⩥ᔢᨱݡ⦽ᯕᛩ۵ᩑᯝ⪵ᱽaࡹᨕ᪵݅. ᕾ┥, ᕾᮁ᪡zᮡ⪵ᕾᩑഭᨱթḡᗭእ۵1900֥ᯕ௹, CO
2॒᪉ᝅaᜅ
᷾aಽၵಽᯕᨕᲙ᪵Łᯕಽᯙ⦽ʑ⬥ᄡ⪵, ✚⯩ࠥ⡎ᩝ,
⡎ᬑ᪡zᮡࠥᯕᔢʑ⬥⩥ᔢᮝಽᯕᨕᲙ᪵݅. ᯝᅙࠥ␥᮹
ᩑ⠪Ɂʑ᪉ᮡḡӽᖙʑ࠺ᦩ3ⳃ᷾a⦹ᩡŁ, ᯕ۵ḡǍ᪉ӽ⪵
ᗮࠥ᮹5႑ӹࡽ݅Ł⦽݅(Narita et al, 2008). ᬑญӹࠥᩩa
ᦥܩ݅. 1960֥ᯕ௹, ᕽᬙᮡ1.19ⳃ, ᬙᔑᮡ1.26ⳃᔢ⦹ᩡŁ, ᯕ۵ࠥ⪵᪡☖ĥ⦺ᱢᮝಽšĥaᯩ݅Łၾ⩡Ჭ݅(ʡ⩥℁॒, 2011). ੱ݅ෙᩑǍᨱᕽ۵1908 ~ 1917֥᮹10֥࠺ᦩ᮹⠪Ɂ
ʑ᪉ᅕ݅1998֥ ~ 2007֥᮹10֥࠺ᦩ᮹⠪Ɂʑ᪉ᯕ2.4ⳃa
ᔢ⦹ᩍ ᖙĥ ⠪Ɂ ʑ᪉ ᔢ᮹ 6႑a չ۵ ᙹ⊹Ł ၾ⩵݅.
ᱥᖙĥᱢᮝಽᅕ⠙⪵ࡽࠥʑ᪉ᔢᮡࠥᩕᖍ⩥ᔢ
1)ŝ
Ḣđࡽ݅. ࠥᩕᖍ⩥ᔢᮡ19ᖙʑᨱᕽᮭᯙ⦹ʑ᯲⦽
ᯕ௹, 1990֥ݡᇡ░ၙǎ, ᯝᅙ॒ᮥᵲᝍᮝಽࠥ⪶ᰆ, ⦝ᅖ໕ᱢ
᷾a॒ᮥࠥᩕᖍ᮹ᵝᯙᮝಽȽ⦹Ł, ᯕෝ⧕đ⦹ʑ
᭥⦽⧕đ₦ษಉᨱ⯹ᥑŁᯩ݅. ↽ɝᮁaɪ᷾ŝ⧉̹“ᱡ┥ᗭ
ךᔪᕾᰆ”ᨱݡ⦽šᝍᯕ⍅ḡ໕ᕽ, ࠥᨱᕽᗭእࡹ۵Ԫႊᨱթḡ
ෝ ᱩq⦹ʑ ᭥⦽ ႊᦩᮝಽᕽ ࠥᩕᖍ⩥ᔢ qᗭ ႊᦩᮥ ᭥⦽
ᩑǍa ᯕḡŁ ᯩ݅(ʡᬊḥ ॒, 2011).
ᬑญӹÕ⇶, ࠥᇥᨱᕽ۵Õྜྷᨱթḡᗭእ᪡ᯙŖ႑ᩕᮥ
ᵥᯕ۵ႊჶŝ⧉̹, ⦝ᅖᄡ⪵ಽᯙ⦽ᅖᔍၰᨱթḡᙹḡᄡ⪵, ၵ௭ʙŝaḡ⩶┽ᄡ⪵, ࠥԕךḡ⇶Ŗɪ॒ᨱݡ⦽ᩑǍ
॒ᮥᵲᝍᮝಽᩕᖍྙᱽ⧕đᮥ᭥⧕݅᧲⦽ᱥྙaॅᯕיಆ⦹Ł
ᯩ݅. ᯕᨱእ⧕ࠥಽၰƱ☖ᇥᨱᕽ۵ࠥ⦝ᅖ, ᷪ⎹Ⓧญ✙᪡
ᦥᜅ❵✙᪡zᮡÕᖅᰍഭa⣩۵ᰁᩕŝeᩕ႑⇽ᯕࠥ
ᩕᖍᨱၙ⊹۵ᩢ⨆ᯕๅᬑⓍ݅۵äᮡᯙḡ⦹Łᯩḡอ, ᯝᅙŝ
ᬑญӹᨱᕽ۵ࠥಽיᔢ, ⪚ᮡaಽᰍ᮹᪉ࠥᄡ⪵ၰ⩥ᩕ
(Heat flux) ᮹ᱶࠥෝ⍕⥉░ဍ౩ᯕᖹᇥᕾᮥ☖⧕, ⪚ᮡ᭥ᖒ,
⧎Ŗᔍḥᮥᯕᬊ⦽ᬱĊᩕ⪹Ğ⊂ᱶᮥ☖⧕, ⪚ᮡ⩥ᰆᝅ⊂ᯱഭෝ
☖⧕ݡᇡᇥᩕᖍ⩥⫊ᮥ❭ᦦ⦹Ł, ⩥ᝅa܆⦽ݡ₦ᮥᱽ⦹۵
ᙹᵡᨱ ᯩ݅.
ᕽᅙᩑǍ۵ࠥԕᨱᕽᦥᜅ❵✙⡍ᰆ໕ᱢ॒⦝ᅖᮉᯕ
׳ᮡࠥಽᨱᕽ⪹Ğ(ၙʑᔢ) ᳑Õŝ⧉̹ࠥಽʑ⦹Ǎ᳑᪡Ʊ☖ᩍÕ ᯕࠥಽᵝᄡᇡ᮹ʑ᪉ᨱၙ⊹۵ᩢ⨆ᮥ❭ᦦ⦹۵äᮥə༊ᱢᮝಽ
⦽݅. ✚⯩ࠥᇡࠥಽ᮹ᦥᜅ❵✙⡍ᰆࠥಽaי໕᪉ࠥෝᔢ
┉݅۵⩥ᔢ❭ᦦᅕ݅⦽݉ĥӹᦥa, ࠥಽ᮹ʑ⦹Ǎ᳑᪡ࠥಽ
1) ࠥᩕᖍ⩥ᔢ(Urban Heat Island)ᯕ, ࠥԕ✚ᱶḡᩎᯕᵝᄡ
Ʊḡᩎᨱእ⧕׳ᮡʑ᪉ᮥӹ┡ԕ۵⩥ᔢᮥ᮹ၙ⧉(ʡᬊḥ॒, 2011)
Ʊ☖᳑Õᯕࠥಽᵝᄡᇡʑ᪉ᨱၙ⊹۵⦽ĥ⬉ŝ(Marginal effect)
ෝ ❭ᦦ⦹۵ äᮥ ᵝ ༊ᱢᮝಽ ⦽݅.
1.2 ֜ଭࠝ
ᅙᩑǍ۵ࠥᇡࠥಽʑ⦹Ǎ᳑ၰƱ☖᳑Õᯕʑ᪉ᨱၙ⊹۵
ᩢ⨆ᮥᇥᕾ⦹ʑ᭥⧕Figure 1ŝzᮡᙽᕽಽᩑǍෝᙹ⧪⦹ᩡ݅.
əᵲ☖ĥᱢ༉⩶ᮥ⪽ᬊ⦹ᩍࠥᇡࠥಽ᮹eݡᄥʑ᪉ᄡ⪵ᨱ
ݡ⦽ ᯙ ၰ ⦽ĥ ⬉ŝෝ ❭ᦦ⦹ᩡ݅.
2. ʑ᳕ྙ⨭Łₑ
ᖁ⧪ᩑǍ۵Õ⇶·ࠥၰࠥಽƱ☖ᇥᵲࠥᩕᖍ⬉ŝ
⩥ᔢ⩥⫊❭ᦦၰࠥᇡࠥಽʑ⦹Ǎ᳑ၰƱ☖᳑Õᯕʑ᪉ᨱ
ၙ⊹۵ᩢ⨆ŝšಉࡽྙ⨭ᮥᔕ⠕ᅙ⬥⦽ĥᱱၰᩑǍ᮹₊ᦩᱱᮥ
ࠥ⇽⦹ᩡ݅.
2.1 Սౠȵܑਏंઉ
ᯕᮡᩞ(1996)ᮡ ࠥךḡ᮹ ʑ᪉ ၰ ḡ᪉ ᪥⪵⬉ŝᨱ š⦽
ᩑǍෝᝅ⦹ᩡ݅. ᩍ℁᮹ḡ⢽᪉ࠥ۵ॵ໕< ӹḡ(ີ┡ᖙ⏑
ᯕᨕ) < ᯙ░ಾ┚ት(႒⧊ӹྕ) < ⎹Ⓧญ✙᮹ᙽᕽಽ׳íӹ┡ӹ, ḡ⢽ᰍഭ᮹ᖁᱶᯕḡ᪉ᨱၙ⊹۵⬉ŝaḡݡ⦹݅۵äᮥ⪶ᯙ⧁
ᙹᯩᨩ݅. ӹḡ᪡ॵ໕॒ᯱᩑᰍഭ᮹ʑ᪉↽Ł-↽ᗭ᪉ࠥ₉ᯕ
aᯙŖᰍഭᨱእ⧕ᱢíӹ┡ӹᯝƱ₉᮹᪥⪵⬉ŝa⪶ᯙࡹᨩᮝ
໑, ॵ໕ŝzᮡྜྷℕ॒ᮡԏᨱ۵ᅖᔍᩕᮥ⯂ᙹ⦹۵᯲ᬊᮥ
☖⧕᪉ࠥෝᱡq┅Ł, ႅᨱ۵⇶ᱢࡽᰁᩕᮥၽᔑ⦹۵ᩕᙽ⪹᮹
᯲ᬊᮥ☖⧕ʑ᪉ᮥ᧞eᦊᔢ⍽ᯝƱ₉᮹⡎ᮥ᪥⪵┅Ł
ᯩᮭᮥ ⪶ᯙ⧁ ᙹ ᯩᨩ݅.
ᮅᬊ⦽(2001)ᮡךḡᨱ᮹⦽ᩕᖍ⩥ᔢ᮹ᱡq⬉ŝᵲ⣮ᗮŝ᮹
šಉᖒᨱ š⦽ ᩑǍෝ ᙹ⧪⦹ᩡ݅. ə đŝ ךḡ ԕ᮹ ʑ᪉
ၰᔢݡࠥᇥ⡍ࠥಽᇡ░, ךḡԕ۵ᨕਅ⣮ᗮᯕࠥᵝᄡaḡ ᅕ݅ᱡ᪉᮹Ğ⨆ᮥᅕᯕ۵äᮝಽӹ┡ԍ݅. ੱ⦽ךḡԕ᮹Ł᪉ᩎ
ᮡ⡍ᰆ໕ၰӹḡᵝᄡᨱᕽ, ᱡ᪉ᩎᮡᙹฝḡᵝᄡᨱᕽᯙᱶࡹᨩᮝ ໑, ᔢݡࠥ۵ʑ᪉ᇥ⡍ᨱÑ᮹ݡ᮲⦹۵⩶┽ಽŁ᪉ᩎᯕᱡᩎ ᯕŁ, ᱡ᪉ᩎᯕŁᩎᮝಽӹ┡ԍ݅. ☁ḡ⦝ᅖእᮉ, ʑ᪉, ⣮ᗮŝ ᮹šĥᨱᕽᙹฝḡᮉ, Ⅹḡᮉᮡᨕਅ⣮ᗮᯕࠥʑ᪉ᱡq⬉ŝᨱ
ᮁ⬉⦹ᩡᮝ໑, əvࠥ۵⣮ᗮᯕ᧞⧁ভ, v⧁ভ, aᰆ᧞⧁ভ᮹
ᙽᮝಽ ӹ┡ԍ݅.
ʡᙹᅪ, ʡ⧕࠺(2002)ᮡࠥᩕᖍ⩥ᔢᮥ᪥⪵⦹ʑ᭥⦽ႊჶᮝ ಽᯙŖ⠱ᩕၽᔾᨖᱽ᪡ࠥԕךḡෝ᷾a⦹۵ႊჶᮥᵝᰆ⦹ᩡ
ᮝ໑, ࠥ᮹ ᙹ༊ᯕʑ᪉᮹᳑ᱩᨱ ၙ⊹۵ᩢ⨆ᮥȽ⦹ᩡ݅.
aಽᙹaᵝᄡʑ᪉ᱡ⦹ᨱၙ⊹۵⬉ŝෝᱶపᱢᮝಽ⠪a⦹ʑ
᭥⦹ᩍ, ݡ⢽ᱢᯙ aಽᙹ ᵲ᮹ ⦹ӹᯙ ⥭┡թᜅෝ ݡᔢᮝಽ,
⊂ᱶݡᔢᮥᖁᱶ⦹ᩡ۵ߑ, š⊂đŝᯝᔍav⦽e࠺ᦩ(2
~ 5 )᮹ʑ᪉ᮡ⦝⊖ʑ᪉ᅕ݅1 ~ 2.5ⳃ׳ᦹŁ, ᩞ໕᪉ࠥ۵
⦝⊖ᅕ݅1 ~ 2ⳃԏᮡäᮥšₑ⧁ᙹᯩᨩ݅. ᯕ۵ᩞ໕᮹᷾ᔑ᯲
ᬊᯕ⪽ၽ⦹ᩍ⦝⊖ԕᱡ᪉ᯕ⩶ᖒࡹ໑, ᯕ۵⦝⊖ԕ᮹ᩕᮥ
ዝᦸᦥ ʑ᪉ᱡ⦹ෝ ᮁၽ┅۵ äᮝಽ ၾ⩵݅.
ʡ⦺ᩕ, ʡᬕᙹ(2003)۵ᕽᬙࠥʑ᪉ᄡ⪵ᨱš⦽༉ߙ
ᩑǍෝ᭥⧕ᕽᬙᨱ᭥⊹⦽ᯱ࠺ʑᔢ⊂ᱶ(AWS:Automatic Weather System) 23 } ḡᱱ᮹ ᪉ࠥ᪡ ə ᵝᄡ ᯝᱶÑญ ԕ᮹
☁ḡᯕᬊᮁ⩶ᄥ ໕ᱢᮥ ⇵⇽⦹ᩍ ᇥᕾ⦹ᩡ݅. ᩑǍ đŝ 500m ၹĞԕ᮹Ʊ☖ᖅḡ໕ᱢ᮹1% ᷾a۵əŖe᮹᪉ࠥෝ0.016
~ 0.021% ᷾a┅۵äᮝಽӹ┡ԍᮝ໑, ךḡၰ᪅⥩ᜅ⟹ᯕᜅ᮹
1% ᮹᷾a۵əŖe᮹ݡʑ᪉ࠥෝ0.017 ~ 0.046%ᱶࠥqᗭ┅
۵ äᮝಽ ⪶ᯙࡹᨩ݅.
⧕ᩑǍ۵ᵝಽᯝᅙᮥᵲᝍᮝಽࠥԕךḡ໕ᱢŝᩕ⪹
Ğ, ᔢᨦᵝÑḡᩎᨱᕽ᮹ࠥᩕ⪹Ğ⠪a॒ᯕᙹ⧪ࡹᨕ᪵݅.
Saito et al.(1990) ᮡࠥḡᩎ(Ǎษ༉☁)ᨱᕽ᮹ʑᔢᱢᗭ᪡
ךḡᇥ⡍᮹šĥᨱݡ⧕ᕽ᳑ᔍ⦹ᩡ݅. ࠥḡᩎȽ༉ෝǍᇥ⧕ᕽ
ʑᔢᱢᗭᵲݡʑ᪉ࠥ(ݡȽ༉ḡᩎ)᪡dry-bulb & wet-bulb ᪉ࠥ, ⮲Ǎ᪉ࠥ, ⣮⨆, ⣮ᗮ(ᗭȽ༉ḡᩎ)ෝ᳑ᔍ⦹ᩡŁ, ⦝ᅖ᳑Õ ŝ ⢽໕ ᪉ࠥa እ⧪ʑෝ ☖⧕ ᬱĊ ᖝᕽ ᯱഭ(remote-sensing data)ᮥ ☖⧕ ⇵ᱶࡹᨩ݅. ə đŝ, ࠥ ݡʑ᪉ࠥ۵ ךḡ ໕ᱢ
ᇥ⡍᪡ๅᬑၡᱲ⦽šĥᨱᯩŁ, 2 ~ 3ⳃ᮹᪉ࠥᱡq⬉ŝaᯩ݅Ł
ၾ⩵݅.
Ohashi et al.(2009) ᮡWBGT(wet-bulb globe temperature) index ෝᔍᬊ⦹ᩍᯝᅙ᪅⋕ษ᮹ᔢᨦŝᵝÑḡᩎᨱᕽ᮹ࠥ
ᩕ⪹Ğᮥ⠪a⦹ᩡ݅. ᔢᨦḡᩎ(Ł⊖᪅⦝ᜅክঊᮝಽǍᖒ)ᨱᕽ ᮹⠪ɁWBGT۵ᵝÑḡᩎ(1 ~ 2⊖ᵝÑÕྜྷಽǍᖒ)ᅕ݅
׳íӹ┡ԍᮝ໑(↽Ł᪉ࠥ₉ᯕ۵2.0ⳃ, 19Japanese Standard Time), ə ₉ᯕ۵ ☖ĥ⦺ᱢᮝಽ ᮁ᮹⦽ äᮝಽ ӹ┡ԍ݅.
2.2 ܑߦȵ֗ധंઉ
᳑⩽ḥ, ᯥḡ⩥(2011)ᮡ ࠥᇡ ࠥಽ ךḡ᮹ ࠥಽ ⢽໕᪉ࠥ
ᱡq⬉ŝෝᇥᕾ⦹ʑ᭥⧕ᕽᬙࠥಽ18}ḡᱱᮥᖁᱶ⦹ᩍ
ࠥಽ⬂݉Ǎᖒᗭ(ࠥಽᵝᄡ☁ḡᯕᬊ, ₉ࠥ, ᅕࠥ, ᙹݡ, ᵲᦺᇥ ญݡ)ᄥಽᩕ⪵ᔢ⋕ີෝᔍᬊ⦹ᩍ⢽໕᪉ࠥෝ᳑ᔍ⦹Ł, ࠥಽ᮹
ךḡ໕ᱢᮥ⊂ᱶ⦹ᩡ݅. ࠥಽךḡ᮹ࠥಽ⢽໕᪉ࠥᱡqᨱၙ⊹۵
ᩢ⨆ᮥᇥᕾ⦽đŝࠥಽᵝᄡ☁ḡᯕᬊᯕᵝಽךḡၰ᪅⥩ᜅ⟹ᯕ ᜅᯝĞᬑࠥಽ᪉ࠥᨱၙ⊹۵ᩢ⨆ᯕaᰆⓍ໑, ᔾᵲᦺᇥญݡ᮹
໕ᱢ, ᙹݡ᮹໕ᱢᙽᮝಽࠥಽ⢽໕᪉ࠥෝᱡq⍽ᵝᄡךḡ໕ ᱢᐱอᦥܩ, ᙹݡ, ᵲᦺᇥญݡ॒᮹ךḡ໕ᱢ᷾a۵ࠥಽ᮹
⢽໕᪉ࠥ ᱡqᨱ ɮᱶᱢᯙ ᩢ⨆ᮥ ၙ⊹۵ äᮝಽ ӹ┡ԍ݅.
Yoshida ॒(2000)ᮡᩍ᮹ࠥಽᩕ⪹Ğᯕᅕ⧪ᯱ᪡ᵝၝᨱí
ၙ⊹۵ᩢ⨆ᨱݡ⦹ᩍᇥᕾ⦹ᩡ݅. ᅕ⧪ᯱ᮹ᯙ(consciousness) šᱱᨱᕽᩍᨱ۵ᯝᔍపŝࠥಽ⢽໕᪉ࠥಽ ᯙ⧕ᅕ⧪ᯱॅᮡ
ᇩ⏭qᮥ۱ӝŁ, ᯱ࠺₉⠱ᩕ॒ᯙŖ⠱ᩕಽࠥಽᩕ⪹Ğᮥᦦ⪵
┉݅Ł۱ӝŁᯩ݅. ᕽࠥಽĥ⫮݉ĥᨱᅕ⧪ᯱ᪡ࠥಽᄡᵝၝ ᮹᮹ᮥ ⡍⧉⦽ ᩕ⪹Ğ⠪aෝ ᙹ⧪⦹ᩍ ᩕ⪹Ğ}ᖁ ႊᦩᮥ
ᙹพ⧕⧁ ⦥a ᯩ݅Ł đುᮥ ԕญŁ ᯩ݅.
Narita ॒(2008)ᮡᩍ࠺ᦩᨱࠥಽᵝᄡ᮹aಽᙹ⩶┽aၙʑ
⬥᪡⩥ᩕᯕၙ⊹۵ᩢ⨆ᮥᩑǍ⦹ᩡ݅. ᩑǍđŝaಽᙹaࠥಽ᮹
᭥ෝaಅᵝ۵ḡᇶ⩶┽ಽ⩶ᖒࡽĞᬑaə౨ḡᦫᮡĞᬑᅕ݅
ʑ᪉, ᩕᇡ⦹, ᰆ❭ᅖᔍaԏí⊂ᱶࡹᨕࠥಽ⢽໕ᯕ┽᧲ᅖᔍᨱթ ḡಽᇡ░᮹⪶⦽₉⠱⬉ŝෝӹ┡ԕᨕ᪉ࠥᱡqᨱᩢ⨆ᮥၙ⊹
۵ äᮝಽ ᇥᕾ⦹ᩡ݅.
ษḡสᮝಽPark et al.(2012)ᨱᕽ۵ࠥᰍaᇡᩕ⪹Ğᨱ
ၙ⊹۵⬉ŝෝᇥᕾ⦹ᩡ۵ߑ, 1.5m ׳ᯕ᮹⎹Ⓧญ✙⒱ቭ᮹႑ᩕಽ
Ǎᖒࡽࠥಽ༉᮹ᝅ⨹ᱢ༉⩶ᮥ☖⧕ᩍ℁ᇡ⪹Ğᮥ⊂ᱶ⦽
đŝ, aಽᄡᙹݡ۵⣮ᗮᮥ51% ᱡq┅۵⬉ŝaᯩᨩᮝ໑, aಽᄡᙹ۵⮲Ǎ᪉ࠥෝਉᨕஉญŁ, ə۹ᮥ☖⧕ə⬉ŝa
ӹ┡ӽ݅Łđುḡᨩ݅. ᯕᩑǍᨱᕽᔾᵲᦺᇥญݡ۵ᵝ༊⧁ั
⦽š⊂đŝaᨧᨩ݅Łၾ⩵۵ߑ, ☖ĥ⦺ᱢᯙᇥᕾđŝaᦥܩ
༉᮹ᝅ⨹ ⊂ᱶđŝᯥᮥ ᮁֱ⧕ ⦽݅.
2.3 ਏॷ
ᖁ⧪ᩑǍෝᱶญ⦹໕, Õ⇶·ࠥᇥᨱᕽ۵ࠥ᮹ᩕᖍ⩥ᔢᨱ
ݡ⦽⩥⫊❭ᦦŝ⧉̹ə᪥⪵ݡ₦ᮥ᭥⦽ᩑǍa݅ᙹᯕᨕᲭ ᮝӹ, ࠥಽ·Ʊ☖ᇥ۵ᦥḢ⩥⫊❭ᦦ᮹ᙹᵡᯕ໑, ᱶపᱢᯙ⬉ŝ Ƚᮥ ☖⦽ ᱶ₦ᱢ ⪽ᬊᮡ ᦥḢ ၙእ⦽ ᝅᱶᯕ݅. ✚⯩ ࠥಽ
ᖅĥᗭᨱš⦹ᩍ, ᙹ༊Ŗe⡍⧉ࠥᇡࠥಽ᮹݅᧲⦽⬂݉໕
Ǎ᳑᪡Ʊ☖పŝ⠪Ɂ ☖⧪ᗮࠥಽݡ⢽ࡹ۵Ʊ☖᳑Õᯕࠥಽ᮹
᪉ࠥ᷾aᨱၙ⊹۵ᩢ⨆ᨱݡ⦽ᩑǍ۵ๅᬑၙ⯂⦽ᝅᱶᯕ݅.
ࠥ⪵ಽᯙ⧕ᄡ⪵ࡹ۵݅᧲⦽ḡ⢽໕᮹ᄡ⪵ᵲݡ⢽ᱢᯙäᮡ
ࠥಽ໕ᱢ᮹᷾aᯕ໑, ᕽᬙ᮹Ğᬑᱥℕ໕ᱢ᮹᧞70%aᇩ⚍ᙹ ໕ᱢᯕŁ, ᯕᵲ50%ෝ₉ḡ⦹۵äᯕࠥಽᯕ݅. ᯕ్⦽ࠥಽ໕ᱢ᮹
᷾a۵Ʊ☖ప᷾aಽᯕᨕᲙᯱ࠺₉ಽᇡ░᮹⠱ᩕᯕࠥ᮹᪉ࠥ
ᔢᨱၙ⊹Łᯩᮭᮥeŝ⧕ᕽ۵ᦩࡽ݅. ᕽᅙᩑǍᨱᕽ۵
ࠥಽʑ⦹Ǎ᳑᪡Ʊ☖᳑Õᯕࠥಽᵝᄡᇡʑ᪉ᨱၙ⊹۵ᩢ⨆ᮥ
ᱶపᱢᮝಽ ᇥᕾ⦹۵ äᨱ ᩑǍ᮹ ᵝᦩᱱᮥ ࢱᨩ݅.
3. ᯱഭᙹḲၰʑⅩ☖ĥ
3.1 ࣡ଭট୨ࢫॷࢺ࣑
ᅙᩑǍᨱᕽ۵ʑ᳕ᩑǍŁₑᨱɝÑ⧕ᕽࠥᇡࠥಽᵝᄡᇡ
᪉ࠥᨱᩢ⨆ᮥၙ⊹۵ᵝᄡᙹಽࠥಽʑ⦹Ǎ᳑᳑Õᵲ⦝ᅖᮝಽ
ךḡᯙᙹݡ᪡ᔾᵲᦺᇥญݡෝǍᇥ⦹Ł, ᇩ⚍ᙹ⡍ᰆ໕ᱢ᮹
proxy ᄡᙹಽ₉ಽᙹ(᧲ႊ⨆)ෝaᱶ⦹ᩡ݅. ࠥಽƱ☖᳑Õᮝಽ۵
Ʊ☖ప(݉᭥eݚ), ⠪Ɂ☖⧪ᗮࠥ(km/h)ෝᖁᱶ⦹ᩍࠥಽᔢᯱ
࠺₉⠱ᩕŝƱ☖⪝ᰂᔢ┽aࠥಽᵝᄡᇡ᪉ࠥᨱၙ⊹۵ᩢ⨆ᮥ
ᖅ⧁ ᄡᙹಽ ḡᱶ⦹ᩡᮝ໑, ⪹Ğ(ၙʑᔢ) ᳑Õᮡ ʑ᪉, ࠥ,
⣮ᗮᮥ ᖁᱶ⦹ᩡ݅.
3.1.1 ਐ۩
יᄡᙹݡ᮹ࠥಽᵝᄡᇡʑ᪉ᱡq⬉ŝෝᔕ⠕ᅕʑ᭥⦹ᩍ
ᙹݡෝᖅᄡᙹಽᖁᱶ⦹ᩡ݅. ྙ⨭ᩑǍᨱᕽᔕ⠕ᅙၵ᪡zᯕ
ࠥԕךḡ᮹Ƚ༉aⓍ໕ⓕᙹಾךḡԕᨱၙ⊹۵ʑ᪉᮹
ᱡq⬉ŝaⓍ݅(ᮅᬊ⦽2001). ᕽᅙᩑǍᨱᕽ۵ࠥಽ᮹ᙹ ݡ᮹᳕ᰍaʑ᪉ᨱၙ⊹۵ᩢ⨆ᮥŁಅ⦹ʑ᭥⧕ᙹݡaᖅ⊹ࡹ
ᨕ ᯩ۵ Ğᬑ᪡ ᖅ⊹ࡹᨕᯩḡ ᦫᮡ Ğᬑಽ Ǎᇥ⦹ᩡ݅.
3.1.2 ਐணंࠤ۩
ᵲᦺᇥญݡ۵₉ࠥෝ☖⧪᮹ႊ⨆ᨱᇥญ⦹Łי⊂᮹ᩍᮁ
ෝ ⪶ᅕ⦹ʑ ᭥⦹ᩍ ࠥಽ᮹ ᵲᦺᨱ ᖅ⊹⦹۵ ᇥญݡ᪡ ⊂ݡෝ
ั⦽݅. ᵲᦺᇥญݡ᮹ ᮁ⩶ ᵲ ךḡ⩶┽᮹ ᵲᦺᇥญݡෝ ᔾ
ᵲᦺᇥญݡŁ⦽݅(ǎ☁⧕᧲ᇡ, 2000). ᔾᵲᦺᇥญݡ۵e
₉ప᮹ᵝ⧪ᱥ॒᳑᮹ᇩኼᮥႊḡ⧁ᐱอᦥܩ₉ࠥᨱə۹ᮥ
ᱽŖ⦹ᩍ ࠥಽ ᪉ࠥ᮹ ᱡqᮥ aᲙ᪉݅. ᅙ ᩑǍᨱᕽ۵ ᯕ్⦽
ᔾᵲᦺᇥญݡ᮹᳕ᰍaࠥಽ᮹ᵝᄡᇡ᪉ࠥᱡqᨱၙ⊹۵ᩢ⨆
ᮥᇥᕾ⦹Łᯱᔾᵲᦺᇥญݡaᖅ⊹ࡹᨕᯩ۵Ğᬑ᪡ᖅ⊹ࡹᨕ
ᯩḡ ᦫᮡ Ğᬑಽ Ǎᇥ⦹ᩡ݅.
3.1.3 ఙߦ
ᖙჩṙᄡᯙᮝಽࠥಽ₉ಽᙹෝᖁᱶ⦹ᩡ݅. ࠥಽ۵ŖŖ᮹
☖⧪ᮥ᭥⦹ᩍᱽŖࡹ۵äᮝಽ, ₉ಽᙹ۵ࠥಽ᮹⡎ᬱᮥݡ⢽⦹۵
sᯕ݅. ࠥᇡࠥಽ᮹Ğᬑ⡍ᰆ໕ᱢᨱ᪉ࠥᔢ᮹⬉ŝa
ᯩ݅۵ᖁ⧪ᩑǍᨱ(ʡ⦺ᩕ, 2003) ᪶ᅖ2, 4₉ಽ᮹ࢱ
aḡ ᙹᵡᮥ Łಅ⦹ᩡ݅.
3.1.4 ֗ധ߆·ুܑ
Ʊ☖పᮡࠥಽ᮹⦽ḡᱱᮥᯝᱶeᨱ☖ŝ⦽₉ప᮹ᙹᯕŁ
☖⧪ᗮࠥ۵݉᭥eᨱݡ⦽Ñญᄡ⪵ᮉᯕ݅. ࠥಽᨱᕽ᮹ݡ⢽ᱢ ᯙƱ☖✚ᖒᯙƱ☖పŝ☖⧪ᗮࠥaࠥಽᵝᄡᇡ᪉ࠥᨱၙ⊹۵
ᩢ⨆ᮥᦥᅕʑ᭥⦹ᩍᖁᱶࡹᨩ݅. ᯱ࠺₉ಽᇡ░᮹ᯙŖ⠱ᩕ
(anthoropogenic heating)ᮡࠥ⪹Ğᨱᕽ᮹3ݡᵝᯙŖ⠱ᩕ
ᵲ⦹ӹಽ ࠥᩕᖍ⬉ŝ⩥ᔢ᮹ᵝ⦽ᯙᯕ໑, ᯕ۵VKT (vehicle kilometers traveled)᪡EV(energy release per vehicle per meter of travel) ᪡᮹ šĥᨱ ᮹⧕ ᔑ⇽ࡽ݅(Sailor and Lu, 2004). ᅙ ᩑǍᨱᕽ۵ ᯙŖ ⠱ᩕᮥ ᱶ⪶⯩ ᔑ⇽⦹۵ äᯕ
༊ᱢᯕᦥܩအಽ, ݡℕᄡᙹಽࠥಽ₉ಽݚƱ☖పᮥᔍᬊ⦹ᩡᮝ໑,
ࠥಽ᮹⪝ᰂᔢ┽ಽᯙ⦽ࠥಽᵝᄡᇡ᪉ࠥಽ᮹ᩢ⨆ᮥ❭ᦦ⦹ʑ
᭥⧕⠪Ɂᗮࠥෝᖅᄡᙹಽᔍᬊ⦹ᩍᯱ࠺₉ಽᇡ░᮹⠱ᩕŝࠥ
ಽ᮹᪉ࠥ᪡᮹šĥෝᦥᅕŁᯱ⦹ᩡ݅. Ʊ☖పᮡၙǎNU- Metric ᔍ᮹NC97 áḡʑෝᯕᬊ⦹ᩍᱥ₉ಽෝ᳦ᯝ⊂ᱶ⦹ᩡᮝ ໑, ⠪Ɂ☖⧪ᗮࠥ۵᳑ᔍḡᱱ᮹₉ಽᄥ☖⧪ᗮࠥෝbb᳑ᔍ⦹ᩍ
⠪Ɂᗮࠥಽ ⪹ᔑ⦽ sᮥ ᔍᬊ⦹ᩡ݅.
3.1.5 ׆ȵܑȵණু
ᅙᩑǍᨱᕽ۵ࠥಽၰƱ☖᳑Õŝ⧉̹ၙʑ⬥⪹Ğ᮹ᩢ⨆ᮥ
ᯱഭ۵ ᱥྙᨦℕᨱ ᮹⦹ᩍ AWSෝ ᯕᬊ⦹ᩍ ⊂ᱶ⦹ᩡ۵ߑ, ʑ᪉ᮡݡʑ᮹᪉ࠥಽᅕ☖ḡ໕ᮝಽᇡ░1.5m׳ᯕ᮹႒ᩞᔢᗮᨱ
״ᯙ᪉ࠥĥಽᰑ᪉ࠥ(ⳃ)ಽᱶ᮹⦽݅. ࠥ۵ᯝᱶᇡ⦝᮹Ŗʑ
ᗮᨱᝅᱽಽ⡍⧉ࡹᨕᯩ۵ᙹ᷾ʑ᧲ŝ⡍⧉⧁ᙹᯩ۵↽ݡ⦽᮹
ᙹ᷾ʑ ᧲ŝ᮹ እᮉ(%)ᯕ໑, ⣮ᗮᮡ ၵ௭᮹ ᗮࠥ(m/s)ᯕ݅.
ࠥಽ ʑ⦹Ǎ᳑, Ʊ☖, ⪹Ğ᳑Õᨱ ᩢ⨆ᮥ ၼ۵ ᳦ᗮᯙᮝಽ
⊹۵ ᵝ ᯙᯕအಽ ࠦพᄡᙹಽ ᖁᱶ⦹ᩡ݅.
3.2 ॷ۩ঃট୨
ࠥᩕᖍ⩥ᔢᮡᯙǍ᪡ÕྜྷᯕၡḲࡹᨕᯩ۵ࠥᝍḡᨱᕽᯝၹ
Table 1. Characteristics of Survey Sites
No. Location No. of
lanes
Planted median strip
Vegetated
median strip Measuring point AWS measurement point
1
The road in front of the National Folklore Museum
of Korea in Hyoja-dong, Jongro-gu, Seoul, Korea
4 Yes Yes
2
The road in front of Yonsei University in Shinchon-dong, Seodaemun-gu, Seoul, Korea
2 Yes No
3 96, Samseongro-,
Gangnam-gu, Seoul, Korea 2 No No
4
The road near the Daerim station in Daerim 3-dong,
Yeongdeungpo-gu, Seoul, Korea
4 No No
5
The road near the Itaewon station in Itaewon 1-dong, Yongsan-gu, Seoul, Korea
4 Yes No
ᱢᮝಽ ݅ෙ ḡᩎᅕ݅ ᪉ࠥa ׳í ӹ┡ӹ۵ ⩥ᔢᯕ݅. ᵝᄡ᮹
᪉ࠥᅕ݅׳ᮡ✚ᄥ⦽ʑ᪉⩥ᔢᮥӹ┡ԕ۵ḡᩎᮥᩕᖍᯕ⦽݅.
ᩕᖍ⩥ᔢᮡ Õ⇶ྜྷ, ⡍ᰆࠥಽ ᷾ݡᨱ ෙ ḡ⢽໕ ᩕᙹḡ᮹
ᄡ⪵, ᩑഭᗭእᨱෙᯙŖ⠱ᩕ, ᪅ᩝྜྷḩ᮹ႊ⇽ప᷾a, ݡʑ᪅
ᩝྜྷḩᨱ᮹⦽᪉ᝅ⬉ŝ, Ł⊖Õྜྷ᮹℁ᨱෙ⪹ʑ᮹ᨕಅᬡ
॒ᯕᵝᯙᮝಽΞ⯭݅. ᕽᬙ۵ᯕ్⦽ᯙᮥ༉ࢱw⇵ᨩʑ
ভྙᨱ ᅙ ᩑǍᨱ aᰆ ᱢ⧊⦽ ݡᔢḡಽ ❱݉⦹ᩍ ᖁᱶ⦹ᩡ݅.
ᕽᬙᵲࠥᩕᖍ⩥ᔢᯕ✚⯩ฯᯕӹ┡ӹ۵ḡᩎᯙ᳦ಽǍ, ᕽݡྙǍ, vԉǍ, ᩢ॒⡍Ǎ, ᬊᔑǍෝݡᔢᮝಽTable 1ŝzᯕ
ᖁᱶ⦹ᩡᮝ໑, 5}᮹ᝅ⨹ݡᦩŝᯕ᪡aᰆᮁᔍ⦽ࠥಽ5}ḡᱱᮥ
ᖁᱶ⦹ᩍ᳑ᔍ⦹ᩡ݅. ࠥಽ᮹ʑ⦹Ǎ᳑᪡Ʊ☖᳑Õᯕࠥಽᵝᄡᇡ
ʑ᪉ᨱၙ⊹۵ᱶపᱢ⬉ŝෝ❭ᦦ⦹ʑ᭥⦹ᩍ᭥ᨱᕽʑᖁᱶ⦽
ᄡᯙŝᯱഭ᮹ᙹᵡᮥɝÑಽ↽᳦ᱢᮝಽᖁᱶࡽ5}ḡᱱ᮹᳑ᔍḡ
ᯝၹᱢ⩥⫊ŝᝅᱽ⩥ᰆ᳑ᔍᔍḥᮥᱶญ⦽đŝ۵Table 1ŝz݅.
3.3 ୀ߹ுࢫ౸୨
ࠥಽၰƱ☖᳑Õᯕࠥᇡࠥಽᵝᄡᇡʑ᪉ᨱၙ⊹۵ᩢ⨆ᮥ
ᇥᕾ⦹ʑ᭥⦹ᩍ₉ಽᙹ/ᔾᵲᦺᇥญݡ/ᙹݡᮁྕෝ⡍⧉⦹۵
5}ḡᱱᨱᕽࠥಽᵝᄡᇡʑ᪉ᇥ⡍᪡Ʊ☖ప, ⠪Ɂ☖⧪ᗮࠥ۵
ᝅeᮝಽᯱഭෝ⊂ᱶ⦹ᩡ݅. ᝅ⨹ݡᔢḡ༉ࢱ₉ࠥ᮹⡍ᰆᰍḩ
ᮡᦥᜅ❵✙⡍ᰆᯕŁáᮡᔪᯕᨩᮝ໑, ᅕࠥ᮹ᰍḩᮡᯙ░ಾ┚ት
ಾᮝಽ ࠺ᯝ⦽ ᰍḩᯕᨩ݅.
Table 2. Descriptive Statistics of Survey Sites
Item Gyeongbokgung Yonsei Univ. Samseong-ro Daerim station Itaewon
No. of samples 60 60 60 60 60
No. of lanes 2 2 2 4 4
Vegetated median strip Yes No No No No
Planted roadside strip Yes Yes No No Yes
Species of trees in the planted median strip Ginkgo, zelkova,
yellow poplar Ginkgo, zelkova No street tree Platanus Ginkgo, platanus
Temperature ( ) Average 22.7 23.4 22.3 23.1 22.4
Standard deviation 2.58 2.42 2.20 2.02 2.18
Humidity (%) Average 63.8 62.4 64.9 62.2 65.1
Standard deviation 12.16 13.1 11.8 10.3 13.7
Wind speed (m/s) Average 0.615 0.599 0.932 0.531 0.876
Standard deviation 0.18 0.28 0.53 0.27 0.39
Traffic volume (cars/h) Average 888.2 494.6 175.9 665.9 861.3
Standard deviation 120.6 54.1 32.7 114.0 110.2
Speed (km/h) Average 42.3 26.5 31.7 34.5 35.4
Standard deviation 5.37 3.73 6.28 3.68 4.70
ࠥ᮹ ᩕᖍ⩥ᔢ, Ł᪉⪵, ᩕݡ ⩥ᔢᮡ ᩍᨱ ↽Ł᳑ᨱ
ݍ⦹ʑভྙᨱ᳑ᔍ᮹eᱢჵ᭥۵7 ~ 9ᬵᵲᩑᗮᮝಽ5ᯝe
እa᪅ḡᦫ۵ʑeᮥᖁᱶ⦹ᩍᵲe3ᯝᮥᖁᱶ⦹ᩍ᳑ᔍ⦹ᩡ݅.
᪉ࠥ⊂ᱶeᮡᖁ⧪ྙ⨭ᨱ᪉ࠥ᮹ᄡ⪵aaᰆၝq⦹í
ӹ┡ԕ۵eݡෝᵲᝍᮝಽ⊂ᱶ⦹ᩡ۵ߑ, ⦹ᵲ᪅ᱥ7ᇡ░
᪅⬥ 10ʭḡ 15eᮥ ᩑᗮᱢᮝಽ ⊂ᱶ⦹ᩡ݅.
᪉ࠥ⊂ᱶᮥ᭥⦽᳑ᔍࠥǍ۵AWSෝᔍᬊ⦹ᩡ۵ߑ, AWS᮹
⊂ᱶᵝʑ۵ๅ10ᇥ݉᭥ಽᖅᱶ⦹ᩍ3ᯝeᩑᗮᮝಽ15eᦊ
⊂ᱶ⦹ᩍᱡᰆ⦹ᩡ݅. Ʊ☖ప⊂ᱶᮡNC-97ᮥ☖⦹ᩍAWS᪡
࠺ᯝ⦽ᱱᨱ₉ಽᄥಽಽᖅ⊹⦹ᩍ࠺ᨱ3ᯝeᩑᗮᱢᮝಽ
Ʊ☖పᮥ⊂ᱶ⦹ᩡᮝ໑, ᯕ⬥݉᭥eᮝಽḲĥ⦹ᩡ݅. ⠪Ɂ☖⧪
ᗮࠥࠥƱ☖పᙹḲႊჶŝzᮡႊჶᮝಽ⊂ᱶ⦹ᩡᮝ໑, ↽᳦ᱢᮝ ಽ ₉ಽᄥ ☖⧪ᗮࠥෝ ⠪Ɂᮝಽ ᔑ⇽⦹ᩍ ᄡᙹಽ ᔍᬊ⦹ᩡ݅.
3.4 ுୀ߹׆ొധծ
3.4.1 ׆ొധծंজ
ᇥᕾᮥ᭥⧕10ᇥ݉᭥ಽᙹḲࡽᯱഭෝ30ᇥ݉᭥ಽḲĥ⦹ᩍ
ḡᱱᄥ⢽ᅙᙹ۵60}
2), 5}ḡᱱ᮹᳑ᔍ⢽ᅙᙹ۵ⅾ300}ᩡ݅.
ʑ᪉᮹⠪Ɂᮡݡఖ22.3ࠥᨱᕽ23.4ࠥᔍᯕᯙäᮝಽӹ┡ԍᮝ໑, ʑ᪉᮹⠙₉ࠥəญⓍḡᦫᮡäᮝಽӹ┡ԍ݅. Ʊ☖పᮡḡᱱᄥಽ
ⓑ₉ᯕෝᅕᩡ۵ߑ, Ʊ☖పᯕᱽᯝᱢᮡḡᱱᮡᔝᖒ࠺(175.9ݡ/h), 2) ⅾ 3ᯝe ᳑ᔍ⦹ᩡᮝӹ ᯝᇡ ḡᱱᨱᕽ ٥ࡽ ᯱഭa ᯩᨕ 2ᯝe
ᯱഭෝ30ᇥ݉᭥ಽḲĥ⦹ᩍḡᱱᄥ60}᮹⢽ᅙᮥᔍᬊ⦹ᩡᮭ(2}/
e × 15e × 2ᯝ)
ᱽᯝ ฯᮡ ḡᱱᮡ ĞᅖǢ(888.2ݡ/h)ᯙ äᮝಽ ӹ┡ԍŁ, ⠪Ɂ
☖⧪ᗮࠥ᮹ĞᬑᩑᖙݡǍeᯕ26.5km/hಽᱽᯝԏᮡäᮝಽӹ┡
ӽၹ໕, ĞᅖǢǍeᯕ42.3km/hಽᱽᯝ׳ᮡäᮝಽӹ┡ԍ݅
(Table 2 ₙ᳑).
3.4.2 ܑ࣡ฃਏծવंඑ
₉ಽᙹ ᷾a᪡ ᙹݡ/ᔾ ᵲᦺᇥญݡ ᳕ᰍ ᯙᯕ ࠥᇡ
ࠥಽᵝᄡᇡ᪉ࠥᄡ⪵ᨱၙ⊹۵ᩢ⨆ᮥĥᩕᱢᮝಽ❭ᦦ⦹ʑ
᭥⦹ᩍʑ᪉ᄡ⪵ᇥ⡍ෝəಅᅕᦹ݅. ᳑ᔍʑe࠺ᦩ᮹ʑ᪉ᯱഭෝ
30ᇥ݉᭥eݡᄥಽᱶญ⦹Ł, 5}᳑ᔍḡᱱeݡᄥ⠪Ɂʑ᪉ ŝ᮹⠙₉ෝĥᔑ⦹ᩍəฝᮝಽӹ┡ԕᨩ݅(Table 3). ə௹⥥ᄥಽ
ᨕਅᱱ᮹sᯕ᧲᮹sᮝಽӹ┡ӹ۵äᮡ᳑ᔍḡᱱᯕ⠪Ɂᅕ݅
ᔢݡᱢᮝಽʑ᪉ᯕ׳݅۵äᮥ, ᮭ᮹sᯕӹ┡ӹ۵äᮡᔢݡᱢᮝ ಽԏ݅۵äᮥ᮹ၙ⦽݅. ᬑᖁ2₉ಽࠥಽᯙᩑᖙݡᦿࠥಽ᪡
4 ₉ಽࠥಽᯙᯕ┽ᬱࠥಽෝእƱ⦹໕ᯕ┽ᬱࠥಽaᱥၹᱢᮝಽ
⠪Ɂᅕ݅ʑ᪉ᯕԏᮡäᮝಽӹ┡ԍ݅. ᯕ۵Table 3ᨱᕽ ᱽ⦹۵
ᔍḥᨱᕽ ᙹ ᯩॐᯕᙹݡ᮹ ⣙ ᱶࠥaᯕ┽ᬱ ࠥಽa
ə۹ᮡ ᅕ݅ ⩶ᖒ⦹ʑ ভྙᯕŁ ⇵⊂ࡽ݅. 4₉ಽ ࠥಽ ᵲ
ԏŝᱡ֢ᨱaᰆʑ᪉ᯕԏᮡࠥಽ۵ᩩᔢݡಽĞᅖǢᦿࠥಽಽ៉
ᙹݡ᪡ᔾᵲᦺᇥญݡa༉ࢱᖅ⊹ࡹᨕᯩᨕʑ᪉ᱡq⬉ŝෝ
aᰆⓍíӹ┡ԕ۵äᮝಽᔾbࡽ݅. ݡฝᩎᦿࠥಽ۵݅ෙḡᱱᨱ
እ⧕᪉ࠥa0.5ⳃᱶࠥᙹᵡᮝಽ׳ᮡäᮝಽӹ┡ԍ݅. ə௹⥥ෝ
᳦⧊ᱢᮝಽᱶญ⧕ᅕ໕, ₉ಽᙹaฯᮥᙹಾ, ᙹݡ᪡ᵲᦺᇥญݡ
a᳕ᰍ⦽Ğᬑᨱࠥಽᵝᄡᇡʑ᪉ᯕԏᦥḡ۵äᮥᙹᯩᨩ݅.
Table 3. Comparison of Air Temperature Distribution at Survey Sites Yonsei Univ.
(No. of lanes: 2, with planted median strip)
Itaewon
(No. of lanes: 4, without planted median strip)
Yonsei Univ. Itaewon
Gyeongbokgung
(No. of lanes: 4, with planted median strip and vegetated median strip)
Daerim station
(No. of lanes, without planted median strip and vegetated median strip)
Gyeongbokgung Daerim station
