A Study on the Evaluation of the Residential Environment of the Permanent Rental Housing in Busan Using Stepwise Logistic Regression

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*** ᇡᔑݡ⦺Ʊ ࠥ᜽ĥ⫮⦺ŝ ᕾᔍ ([email protected])

Received April 25, 2013/ revised May 9, 2013/ accepted August 7, 2013

Copyright ⵑ 2013 by the Korean Society of Civil Engineers

ǣǣȀȀǤǤȀͳͲǤͳʹ͸ͷʹȀǤʹͲͳ͵Ǥ͵͵ǤͷǤʹͳͶ͹

ǤǤǤ

Stepwise Logistic Regressionⴂ#ⴲⱧ㬚#⌾♮⽾⮫#⮿ጪⵂᢾ⺺㚛ⴖ

⺺ሮ㰖ቻ#⟖⺾#㦇ᆾ#⍂⛛

ౖવȵ׌෴ஜȵవটࢠ

Choi, Yeol, Kim, Hyeong Jun, Chun, Sun Mi

A Study on the Evaluation of the Residential Environment of the Permanent Rental Housing in Busan Using Stepwise Logistic Regression

ABSTRACT

This study aims to analyze the evaluation of the residential environment on the permanent rental housing in Busan. The Permanent Rental Housing policy is one of the special measures which contribute to getting the low-income urban dwellers settled in places of their own. Unfortunately the government has focused on expanding the quantity of housing even though housing doesn't mean just a physical object but the foundation of life. So the occupants who answered the survey lived in the permanent rental housing which were constructed by Busan Metropolitan Corporation. The purpose of the study is to give suggestions which can make up for dissatisfaction and apply preference of occupants based on the results of the research. The result of this study is in following; there were few significant managerial variables determinants of residential satisfaction. And significant variables are; position of rooms and bathroom facilities in internal building characteristics, color of apartment and playground in exterior building characteristics, commuting distance and viewshaft in locational characteristics. Therefore, the government needs to use cutting edge housing technologies aimed at improvement of residential environment and achievement of affordable expense simultaneously.

Key words : Permanent rental housing, Rental housing, Residential environment, Stepwise logistic regression

Ⅹಾ

ᅙᩑǍ۵ᇡᔑḡᩎᩢǍᯥݡᵝ┾᮹ᵝÑ⪹Ğᙹᵡ⠪aᇥᕾᮥ༊ᱢᮝಽᙹ⧪⦽݅. ᩢǍᯥݡᵝ┾ᱶ₦ᮡྕᵝ┾ᯱ, ✚⯩ࠥ᜽ḡᩎ᮹ᱡᗭाÑ ᵝᯱॅᮥ᭥⦽✚ᄥ⦽ႊჶᵲ⦹ӹᯕ݅. ᵝÑ⪹Ğᨱ۵əäᮥǍᖒ⦹۵ᩍ్᫵ᯙᯕᯩᮭᨱࠥᇩǍ⦹Ł, ᱶᇡᨱᕽ۵݉ḡྜྷญᱢᯙŖeอᮥ

ᱽŖ⦹۵⦽ĥᨱᅪ₊⧩݅. ə௹ᕽᩢǍᯥݡᵝ┾᮹ᇩอ॒᳒ᮥ}ᖁ⦹ʑ᭥⦽ʑⅩᯱഭෝᱽŖ⦹Łᯱ⦹Łᯱ, ᇡᔑࠥ᜽Ŗᔍᨱᕽšญ⦹۵ᩢ

Ǎᯥݡᵝ┾Ñᵝᯱෝݡᔢᮝಽᖅྙ᳑ᔍෝᝅ᜽⦹ᩡ݅. ᯕᩑǍ᮹đŝ۵݅ᮭŝz݅. ᩢǍᯥݡᵝ┾อ᳒ࠥᨱᬵᯥݡഭ, šญእ॒᮹šญᱢ✚

ᖒॅᮡÑ᮹ᩢ⨆ᮥၙ⊹ḡ༜⦹ᩡŁ, Ñᝅ읆ႊ॒᮹᭥⊹ၰ⪵ᰆᝅ᜽ᖅ, ☖ɝÑญ, ᳑฾ǭ, סᯕ░॒ᯕᩢ⨆ᮥၙⅅ݅. ᵝၝᔾ⪽✚ᖒᵲᨱ۵

ℎᗭᔢ┽, Łᖒႊaၽᔾᱶࠥ, ᵝၝॅŝ᮹⊽ၡࠥ, ႊჶ᜽ᖅ॒ᯕᮁ᮹⦹íӹ┡ԍ݅. ঑௝ᕽᦿᮝಽᱶᇡ۵↽ᝁʑᚁᮥ↽ݡ⦽⪽ᬊ⦹ᩍᩢǍ ᯥݡᵝ┾Ñᵝᯱ᮹⠙᮹ෝࠥ༉⦹ࡹ, Ğᱽᱢᮝಽᇡݕᯕࡹḡᦫᮥᙹᵡᮝಽᱢᬊ⦹۵äᯕᵲ᫵⦹݅۵äᮥᯙ᜾⧕᧝⧁äᯕ݅.

áᔪᨕ ᩢǍᯥݡᵝ┾, ᯥݡᵝ┾, ᵝÑ⪹Ğ, ݉ĥᄥಽḴ༉ߙ

ݓًфʪ֨ćন

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1. ᕽು

1.1 ઴֜ࢼլࢫࡧୡ

ᩢǍᯥݡᵝ┾ᮡᗭा᧲ɚ⪵ᨱ঑ෙᵝ┾ྙᱽෝ⧕đ⦹ʑ᭥⧕

ᱽ᜽ࡽ1989֥ࠥ᜽ᩢᖙၝᵝÑᦩᱶ✚ᄥݡ₦᮹ᯝ⪹ᮝಽᇥ᧲ᮥ

ᱥᱽ⦹ḡᦫŁᯥݡอᮥ᭥⧕อॅᨕḥᵝ┾ᯕ݅. ᱥᬊ23~43⽊

Ƚ༉ಽÕᖅࡽᩢǍᯥݡᵝ┾ᮡᱶᇡḡᯱℕ(ḡႊŖʑᨦ)᮹ᰍᱶ ᨱᕽ Õᖅእ᮹ 85%ෝ ᅕ᳑⦹Ł, ᯦ᵝᯱa 15%อᮥ ᇡݕ⦽݅.

ᷪ, ᜽ᖙᅕ݅ ᱡಕ⦽ ᅕ᷾ɩŝ ᯥݡഭෝ ᔑᱶ⦹ᩍ ᯱa ᵝ┾ᮥ

ᅕᮁ⧁ ᙹ ᨧ۵ ᱡᗭा⊖ᮥ ݡᔢᮝಽ ᩢǍᱢᯙ Ñᵝa a܆⧁

ᙹ ᯩࠥಾ ⦽ äᯕ݅. ᯕ۵ ᵝ┾᮹ ᙹ⩽ݡᔢᮥ ჶᱶᩢᖙၝᮝಽ

໦⪶⯩ᱽ⦽⦽, ᔍ⫭ᱢ᧞ᯱᨱíᵝÑᅖḡෝᱽŖ⦹ᩍᔗ᮹ḩᮥ

⨆ᔢ᜽┅Łᯱ ⦹۵ ᱶᇡ᮹ ᮹ḡa ݕĉ ᯩ۵ ᔍᨦᯕ݅. ⦹ḡอ

ᱶᇡ۵ Ñᵝĥ⊖ᨱ ݡ⦽ ᖙᇡᱢᯕŁ ḩᱢᯙ Łಅ۵ ႑ᱽ⦽ ₥

᧲ᱢ᷾ݡᨱอ⊹ᵲ⦹ᩡᮝ໑, ḡӹ⊹íᱽ⦽ࡽ᯦ᵝᯱ᳑Õᮡ᯦ᵝ

ᯱၙݍᮥ᧝ʑ᜽⎑݅. ə௹ᕽə⬥ᩢǍᯥݡᵝ┾ᨱݡ⦽ᔍ⫭ᱢ

ၹݡᩍು॒᮹ᔍ┽ᨱḢ໕⦹íࡹᨩ݅. đǎᩢǍᯥݡᵝ┾ᔍᨦᮡ

ĥ⫮Ⅹʑᨱ۵25อ⪙᮹༊⢽ಽ⇵ḥࡹᨩᮝӹ⃹ᮭĥ⫮ᅕ݅ᱢᮡ

190,077 ⪙a ᱥǎᱢᮝಽ Ŗɪࡽ ₥ 1992֥ᨱ ᵲ݉ࡹᨩ݅.

⦹ḡอᱶᇡ۵ḡᗮᱢᮝಽᯝၹᕽၝॅᐱอᦥܩ௝ᔍ⫭ᱢ᧞ᯱ

ᯙᱡᗭा⊖ʭḡࠥᦩᱶᱢᯙᵝÑᔾ⪽ᮥ⧁ᙹᯩࠥಾᵝ┾Ŗɪᱶ

₦ᮥ⇵ḥ⦹Łᯩ݅. 2008֥9ᬵᨱ۵ᩢǍᯥݡᵝ┾᯦ᵝݡʑᯱෝ

⧕ᗭ⦹Ł↽ᱡᗭा⊖᮹ᵝÑᦩᱶᮥ᭥⧕ᩢǍᯥݡ10อ⪙Ŗɪᰍ }ෝၽ⢽⦹ᩡ݅. ੱ⦽ᵝ┾᳦⧊ĥ⫮(2003~2012)ᨱᕽ۵ǎၝᵝ Ñᅖḡ⨆ᔢᮥ᭥⦽ႊჶᮝಽᰆʑŖŖᯥݡᵝ┾150อ⪙Õᖅᮥ

༊⢽ಽ ⦹Ł ᯩ݅(ǎ☁⧕᧲ᇡ, 2011). ᦩ┡ʾíࠥ ᯕ౑ ᱶᇡ᮹

ᵝ┾ᱶ₦ᮡ ᧲ᱢᯙ ᵝ┾Ŗɪ ⪶∊ᨱอ ɪɪ⧁ ᐱ ᵝ┾᮹ ḩᱢ

ᙹᵡ⨆ᔢᨱݡ⦽Łಅ۵ၙ⯂⦽ᝅᱶᯕ݅. ᵝ┾ᯕ݉ḡÑᵝ⦹ʑอ

ᮥ᭥⦽ྜྷญᱢᯙŖeᮥ᮹ၙ⦹۵äᯕᦥܭᯙeᔾ⪽ᮥᩢ᭥⦹ʑ

᭥⦽ʑⅩaࡹ۵ᰆᗭᯥᮥŁಅ⦽݅໕, Ñᵝᯱॅᯕᬱ⦹۵ᵝÑ⪹

Ğᮥw⇹ᵝ┾ᮥᱽŖ⦹ʑ᭥⦽ᱶ₦ᯕ᜽ɪ⦹݅. ᩢǍᯥݡᵝ┾ᮥ

እ೐⦽ŖŖᯥݡᵝ┾ᮡᱡᗭा⊖ᮥ᭥⦽ᱶᇡ᮹᜽⩽ᱢᯙᅖḡ᷾

ḥ᮹₉ᬱᨱᕽ}ḥࡽᔍᨦᯕฯᦥ, Ñᵝᯱॅᯕᝅḩᱢᮝಽ⦥᫵ಽ

⦹Łᬱ⦹۵ᵝÑ⪹Ğᮥ ₞᳑⦹ʑᅕ݅۵݉᜽eԕྜྷญᱢᮝಽ

ᔕᦥiᙹᯩ۵ŖeᮥᱽŖ⦹Łᯱ⦹۵᮹ḡa޵ฯᯕၹᩢࡹᨩ݅.

ᯕ౑ྜྷญᱢᯙᵝÑŖeอᮥ᭥ᵝಽᱽŖၼᮡÑᵝᯱॅᮡᵝᯙ᮹

᜾ᯕ đᩍࡹᨕᵝ┾ ݉ḡ ԕŖŖ᜽ᖅྜྷᮥ ᗭᵲ⯩ ݅൉ḡᦫᦥ

ᯱᵝŁᰆӹí⦹Ñӹ, Õྜྷ᫙ᄞᨱӺᕽෝ⦹Ł, ᥑ౩ʑෝ⧉ᇡಽ

ქญ۵ ॒ Ŗ࠺ℕ ᮹᜾ ᇡ᳒ᮝಽ ᧝ʑࡹ۵ ྙᱽॅᯕ ၽᔾ⦽݅.

ᯕ్⦽ᔍᗭ⦽ɝฑྕḩᕽ۵ᵲݡ⦽ჵᴥಽၽᱥ⧁ᙹᯩᮝ໑(ᰆᕾ

⨭, 2003), ḡᨕḥḡ᪅௹ࡽ ᩢǍᯥݡᵝ┾᮹י⬥⪵᪡ᜍౝ⪵, ᯙɝ ᯝၹ ᵝၝॅŝ᮹ i॒ ॒ᮡ ᝍb⦽ ᔍ⫭ྙᱽᨱʭḡ ᯕෝ

ᙹ ᯩí ࡽ݅.

↽ɝᨱ۵ᵝ┾᮹᧲ᱢŖɪᨱอ⊹ᵲ⦹ᩡ޹ᱶᇡ᮹ᵝ┾ᱶ₦ᨱ

ݡ⧕ĞbᝍᮥwŁᵝ┾᮹ḩᱢŖɪᨱݡ⦽ᱽᨙᮥ᭥⧕ᩢǍᯥݡ ᵝ┾ᮥእ೐⦽ŖŖᯥݡᵝ┾Ñᵝᯱॅ᮹ᵝÑᝅᔢᨱݡ⦽ᩑǍa

ᯝᇡḡᩎᮥݡᔢᮝಽ᜽⧪ࡹŁᯩ݅. ᅙᩑǍᨱᕽ۵ʑ᳕ᩑǍᨱᕽ

᜽⧪ࡹḡᦫᦹ޹ᇡᔑḡᩎᩢǍᯥݡᵝ┾ᵲᇡᔑࠥ᜽ŖᔍᩢǍᯥ ݡᵝ┾ᮥ ݡᔢᮝಽ Ñᵝᯱॅ᮹ ᵝÑ⪹Ğᨱ ݡ⦽ ᯙ᜾ ᙹᵡ ၰ

əॅᯕᬱ⦹۵äᯕྕᨨᯙḡ⩥⫊ᮥ❭ᦦ⦹Łᯱ⦽݅. ޵ӹᦥa

⨆⬥ŖŖᯥݡᵝ┾Õᖅ᜽Ñᵝᯱॅᯕᇩอ᳒⦹۵ᇡᇥᮥᅕ᪥⦹

Ł⏭ᱢ⦽ᵝÑ⪹ĞᮥᱽŖ⧁ᙹᯩ۵ႊ⨆ᮥᱽ᜽⦹Łᯱ⦽݅.

ə௹ᕽᱡᗭा⊖ᮥ᭥⦽᧲ŝḩ᮹ࢱaḡ⊂໕༉ࢱෝอ᳒᜽┍

ᙹᯩ۵ᵝ┾ᮥᱽŖ⧉ᮝಽ៉ḥᱶ⦽ᵝÑᅖḡaᝅ⧪ࡹࠥಾ⦹۵ ߑ ᮹᮹ෝ ࢵ݅.

1.2 ઴֜۩ঃࢫࢺ࣑

ᅙᩑǍᨱᕽ۵ǎၝ᮹ᵝÑᅖḡෝᝅ⩥⦹ʑ᭥⦹ᩍᝅ⧪ࡽᵝ┾

ᱶ₦᮹ᯝ⪹ᯙᩢǍᯥݡᵝ┾ᵲᇡᔑࠥ᜽Ŗᔍᨱᕽšญᬕᩢ⦹۵

ᩢǍᯥݡᵝ┾ᮥݡᔢᮝಽÑᵝᯱॅ᮹ᵝÑ⪹Ğᨱݡ⦽ᯙ᜾ᮥ᳑

ᔍ⦹Ł, əॅᯕᬱ⦹۵ၵෝ❭ᦦ⦹Łᯱ⦽݅. ᇡᔑḡᩎᨱ۵ᇡᔑࠥ

᜽Ŗᔍ᪡⦽ǎ☁ḡᵝ┾Ŗᔍᨱᕽšญᬕᩢ⦹۵ᩢǍᯥݡᵝ┾ᯕ

ᯩ݅. ᇡᔑࠥ᜽Ŗᔍašญᬕᩢ⦹۵ᩢǍᯥݡᵝ┾ᮡ}ɩ2, ݅ݡ 3, ݅ݡ4, ݅ݡ5, ࠺႒, ࠺ᔝ1, ࠺ᔝ2, ޶⃽2, ၹᘂ, ᇡł, ⦺ᰆ1᮹

11 }ḡǍᯕ݅. ᯕ11}ḡǍᨱÑᵝ⦹۵ᔍ௭ॅᮥݡᔢᮝಽb

ḡǍᄥ ⢽ᅙᮥ ⇵⇽⦹ᩍ Ñᵝᯱॅ᮹ ✚ᖒᄥ ᵝÑ⪹Ğ อ᳒ ၰ

ᖁ⪙ᨱ ݡ⦽ ᖅྙ᳑ᔍෝ ᝅ᜽⦹ᩡ݅.

ᩑǍ᮹ႊჶᮝಽ۵1:1 ໕ᱲᖅྙ᳑ᔍđŝෝၵ┶ᮝಽᇡᔑḡᩎ

ᩢǍᯥݡᵝ┾᮹ᵝÑ⪹Ğᙹᵡ⠪aᇥᕾᮥ᭥⧕݉ĥᄥಽḴ༉⩶

(Stepwise Logistic Regression)ᮥ ᯕᬊ⦹ᩍ ᇥᕾ⦹ᩡ݅.

2. ᖁ⧪ᩑǍ

ᵝÑ⪹Ğ᮹}ֱᮥᯕ⧕⦹ʑ᭥⧕ᕽ۵ຝᱡᵝ┾ŝᵝÑ᮹₉ᯕ ᱱᮥᯕ⧕⦹ᩍ᧝⦽݅. ☖ᔢᱢᮝಽᵝ┾ᮡྜྷญᱢᯙ~ℕᯙၹ໕, ᵝÑ۵ᵝ┾ᯕ௝۵ྜྷญᱢᯙ~ℕෝ⡍⧉⦹ᩍᵝ┾ᗮᨱᕽᯕ൉ᨕ ḡ۵༉ुĞ⨹ᯕӹᱶᕽᱢᯙԕ໕ʭḡࠥ⡍⧉⦽݅(ၶᖒ⦹, 2012).

ᵝÑ⪹Ğ⠪a۵Ñᵝ⦹Łᯩ۵ᵝ┾ᨱݡ⦽ᵝÑᗭእᯱ᮹ᵝš ᱢᯙ⠪aᔢ┽ෝ᮹ၙ⦹໑, ᵝÑ᫶Ǎa∊᳒ࡽᱶࠥᨱݡ⦽⠪aᯕ

݅(Brink & Johnson, 1979).

Gyourko & Linneman(1989) ۵ە᫶᜽᮹ᯥݡᵝ┾ᮥݡᔢᮝಽ

ᯥݡʑeŝᯥݡഭᅕ᳑ɩŝ᮹šĥෝᩑǍ⦹ᩡ݅. ੱ⦽Pollakowski (1997) ۵ە᫶᜽᮹ᯥݡഭaĊᨱݡ⦽Ƚᱽa᪥⪵ࡹ໕ᯥݡഭa

᷾a⦽݅Ł ⦹ᩡ݅.

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Hans Kristensen(2002) ۵ߕษⓍ᮹ᯥݡᵝ┾ᱶ₦ŝᅖḡ⩶┽

ෝᩑǍ⦹ᩡ݅. ᱶʑᱢᮝಽᵝ┾ԕᇡ᮹ᇡᨭŝ᫶ᝅ॒ᮥญ༉ߙย

⦹໑, ℕĥᱢᮝಽšญ⧉ᮝಽ៉᯦ᵝၝॅ᮹อ᳒ࠥෝᱽŁ᜽┅Ł

ᯩ݅Ł ⦹ᩡ݅.

Suzanne Fitzpartrick & Hal Pawson(2007) ۵ḡӽ30֥࠺ᦩ ᮹ᩢǎᯥݡᵝ┾ᮥá᷾⦹Łᔩಽᬕᯥݡᵝ┾ᱶ₦ᮥᱽ᜽⦹ᩡ݅.

Ñᵝᯱ۵Ʊᮂ, ⠙᮹᜽ᖅ॒᮹ᵝÑ⪹ĞᮥŁಅ⦹ᩍᯥݡᵝ┾ᮥ

Ḣᱲᖁ┾⧁ᙹᯩᨕ᧝⦹໑, ᯥݡഭ۵ᖙ᯦ᯱ᮹ᗭाᮥŁಅ⦹ᩍ

₉॒ᱢᮝಽ ԕ᧝⦽݅Ł ⦹ᩡ݅.

ᵝÑ⪹Ğ⠪aᨱྜྷญᱢ✚ᖒᐱอᦥܩ௝, ᯕᬤŝᔍ⫭ᱢšĥ

॒᮹ᝍญᱢ᫵ᗭ॒ࠥၹᩢ⦹ᩡ݅. Rossi(1995)۵ᯕᬤᯕӹᯕᬤ ŝ᮹⊽ၡqᨱ঑௝ᵝÑอ᳒ᯕݍ௝ḥ݅Ł⦹ᩡŁ, Zhao(2006)۵

ᄁᯕḶ᮹ᵝ┾ᮥݡᔢᮝಽᵝÑอ᳒ࠥෝ᳑ᔍ⦽đŝᔍ⫭, ᝍญᱢ

᫵ᗭᅕ݅۵Ʊ☖᜽ᖅŝŖŖ᜽ᖅᯕ޵ⓑᩢ⨆ᮥၙ⊽݅Ł⦹ᩡ݅.

ǎԕᨱᕽࠥᱶᇡ᮹ᩢǍᯥݡᵝ┾ᮥ⡍⧉⦽ŖŖᯥݡᵝ┾᮹ݡ పŖɪᱶ₦ᨱ঑௝ŖŖᯥݡᵝ┾Ñᵝᯱ᮹ᵝÑᝅ┽ၰᵝÑอ᳒

ᨱ ݡ⦽ ݅᧲⦽ ᩑǍa ᜽⧪ࡹŁ ᯩ݅.

ᯕᔢ⪙(2005)۵ŖŖᯥݡᵝ┾ŝᇥ᧲ᦥ❭✙ᨱÑᵝ⦹۵᯦ᵝ ၝॅ᮹ᵝÑอ᳒ࠥᨱၙ⊹۵᫵ᯙᮥᇥᕾ⦹ᩡ۵ߑ, ᔍᬊࡽᄡᙹ۵

ᬕᩢšญ, ᜽ᖅšญ, ⪹Ğšญ, ᵝᄡ⪹Ğ, ᯱ֡⦺Ǒ॒ᮝಽᖅᱶ⦹

ᩡ݅.

↽ᩕ ᫙(2006)۵ ŖŖᯥݡᵝ┾ ᯦ᵝၝᮥ ݡᔢᮝಽ ᬵᯥݡഭ

ၰšญእ॒᮹ᵝ┾✚ᖒŝ⊹ᦩၰᦩᱥ⪽࠺॒᮹݉ḡ⪹Ğ✚ᖒ, Ʊ☖ᩍÕ ॒᮹ ᵝÑ⪹Ğ ✚ᖒᮝಽ Ǎᇥ⦹ᩍ ᩑǍ⦹ᩡ݅.

⦽Ğᬱ(2006)ᮡᯥݡᵝ┾ᵝÑอ᳒ࠥ᪡ᯕᨱšಉࡽᩍ్ᩢ⨆

᫵ᯙॅᮥ~šᱢᮝಽȽ໦⦹Łᯱ⦹ᩡ݅. ə௹ᕽᕽᬙḡᩎᩢǍᯥ ݡᵝ┾, ᰍ}ၽᯥݡᵝ┾, ŖŖᯥݡᵝ┾ᮥݡᔢᮝಽᵝÑอ᳒ࠥᨱ

ၙ⊹۵ᩢ⨆᫵ᯙॅᮥ᳑ᔍ⦹ᩡ݅. ᯕᩑǍᨱᔍᬊࡽᩢ⨆᫵ᯙᮡ

Ⓧí}ᯙaǍ✚ᖒᄡᙹ, ɝฑaǍ✚ᖒᄡᙹ, ᔍ⫭ᝍญᄡᙹᖙaḡ ಽ Ǎᇥ⦹ᩡᮝ໑, ᱥℕ ᯥݡᵝ┾ᨱᕽ Ñᵝᯱॅ᮹ ᵝÑอ᳒ࠥᨱ

aᰆⓑᩢ⨆ᮥၙ⊹۵ᖙᇡ᫵ᯙᮡɝฑྕḩᕽ, ₉ᄥ, ᯕᬤšĥಽ

ӹ┡ԍ݅.

ԉᩢᬑ᫙(2007)۵ǎၝᯥݡᵝ┾᮹ᵝÑอ᳒ࠥᨱݡ⦽ᖁ⧪ᩑ Ǎॅᮥ☖⦹ᩍᵝÑอ᳒ࠥᩢ⨆᫵ᯙᮥࠥ⇽⦽⬥bđᱶ᫵ᯙᯕ

ᵝÑอ᳒ࠥᨱၙ⊹۵ᩢ⨆ಆᮥᇥᕾ⦹ᩡ݅. əđŝᵝÑ⪹Ğอ᳒

ࠥᨱᩢ⨆ᮥၙ⊹۵đᱶ᫵ᯙᮝಽ۵ᵝ┾᮹Ǎ᳑᪡Ʊᮂ⪹Ğ, šญ Ḣᬱŝ᮹šĥಽӹ┡ԍᮝ໑, ᔍ⫭ᱢอ᳒ࠥ۵ᔍ⫭ᱢᮁݡෝ׳ᯕ ʑ᭥⦽ᯕᬤॅŝ᮹šĥၰᯕᬤᨱݡ⦽ᝁ഑aaᰆⓑᩢ⨆ᮥ

ၙ⊹۵ äᮝಽ ӹ┡ԍ݅.

ႊᱶʑ(2008)۵vᬱḡᩎ30֥ᯕᔢᰆʑŖŖᯥݡᵝ┾(ᩢǍ, 50 ֥ŖŖ, ǎၝ)ᨱݡ⦽ᵝÑᝅ┽ᇥᕾđŝෝ☖⧕ᱢ⧊⦽ᯥݡᵝ

┾᮹Ŗɪႊ⨆ᮥᔕ⠕ᅕŁᯱ⦹ᩡ݅. ᱥၹᱢᮝಽᯥݡഭᨱݡ⦽

ᇡݕᯕ ׳í ӹ᪵ᮝ໑, ݉ḡ ԕ ᗭ௡ ၰ ᮭᵝ⧪᭥, Ñᵝᯱe᮹

ᇥᰢᨱ ݡ⦽ ᇩอࠥa ׳í ᳑ᔍࡹᨩ݅.

ᱶ᜽⫭(2008)۵ݡǍḡᩎǎၝᯥݡᵝ┾ᮥݡᔢᮝಽᵝÑอ᳒

ࠥᨱᩢ⨆ᮥၙ⊹۵᫵ᯙᮥᩑǍ⦹ᩡ݅. ᫵ᯙᮝಽ۵᯦ḡᱢ᫵ᯙ, ᵝ┾ԕᇡ᫵ᯙ, ᵝÑእ᫵ᯙ, ݉ḡ⪹Ğᱢ᫵ᯙ, šญᱢ᫵ᯙ, Ŗ࠺ℕ

᫵ᯙ ॒ 6} ࠦพᄡᙹෝ ᯕᬊ⦹ᩡ݅.

᳑ᬊĞ(2009)ᮡᩢǍᯥݡᵝ┾Ñᵝᯱ᮹ᵝÑอ᳒ᨱᩢ⨆ᮥၙ

⋁äᮝಽ❱݉ࡹ۵48}⧎༊ᨱݡ⦹ᩍᱥǎbḡᩎᩢǍᯥݡᵝ┾

ᮥݡᔢᮝಽᖅྙ᳑ᔍෝᝅ᜽⦹ᩡ݅. əđŝෝၵ┶ᮝಽᝅԕ᜽ᖅ,

⠙᮹᜽ᖅ, ᅖḡḡᬱ, ݉ḡ⪹Ğ, ᵝÑእᬊ, ᵝÑᖒ܆᮹6}⧎༊ᮥ

ࠥ⇽⦹ᩡ݅.

ᮁ໦ᧁ(2012)۵Ł᧲᜽ෝݡᔢᮝಽǎၝᯥݡᵝ┾Ñᵝᯱ᮹ᵝ Ñอ᳒ࠥᨱݡ⦽᳑ᔍᇥᕾᮥᝅ᜽⦹ᩡ݅. ݉ḡԕ᫙ᇡᱢ᫵ᯙ, Ğᱽᱢ᫵ᯙ, šญᱢ᫵ᯙ, ᱶ₦ᱢ᫵ᯙᮝಽᖅᱶ⦹ᩡŁ, ǎၝᯥݡ ᵝ┾ᨱݡ⦽}ᖁᔍ⧎ᮥ᳑ᔍ⦹ᩡ݅. əđŝ݉ᩕၰႊᮭ, ᔢᨦ⠙

᮹᜽ᖅ᮹⠙ญᖒŝŖŖ᜽ᖅ᮹ᯕᬊ⠙ญᖒ, ݉ḡԕℎđၰᗭᮭᨱ

ݡ⦽ ᇩอ᳒ࠥa ׳í ӹ┡ԍ݅.

3. ⇵ᱶ༉⩶

ᅙᩑǍ᮹༊ᱢᯙᇡᔑḡᩎᩢǍᯥݡᵝ┾᮹ᵝÑ⪹Ğᙹᵡ⠪a

ᇥᕾᮥ❭ᦦ⦹ʑ᭥⧕Stepwise Logistic Regressionᮥᔍᬊ⦹ᩡ݅.

ࠦพᄡᙹaᩍ్}ᯙĞᬑᨱᱢᱩ⦽ࠦพᄡᙹෝᖁ┾⧕᧝⦽݅.

↽᳦ᱢᯙ ༉⩶ᨱᕽ ᳦ᗮᄡᙹෝ ᯹ ᖅ໦⧁ ᙹ ᯩ۵ ࠦพᄡᙹ۵

ԉĉࢱŁ᳦ᗮᄡᙹෝᖅ໦⦹۵ߑࠥᬡᯕࡹḡᦫ۵ᄡᙹෝᱽÑ⦹

໕, ݉ᙽ⦹໕ᕽࠥᯱഭෝ᯹ᖅ໦⧁ᙹᯩ۵༉⩶ᯕࡽ݅(Efroymson, 1960; Rencher & Pun, 1980). ຝᱡaᬊ⦽༉ुᄡᙹෝࠦพᄡᙹ ಽᖁ┾⦽݅ᮭ, ᯕᵲᨱᕽ᳦ᗮᄡᙹෝᖅ໦⦹۵ߑࠥᬡᯕࡹ۵

ᄡᙹෝ☖ĥᱢᮝಽ₟ᦥԕ۵äᯕ݅(Wilkinson and Dalall, 1981).

ᱶᅕෝ݉ĥᄥಽᇥᕾ⦹ᩍᄡᙹෝᖁ┾⦹۵ᯝ᳦᮹aჶ༉⩶(additive model) ᯕ௝Ł ⧁ ᙹ ᯩ݅(Copas, 1983).

Stepwise Logistic RegressionᮡʑᅙᱢᮝಽStepwise Regression

ᮥ ʑⅩಽ ⦹Ł ᯩ۵ߑ, ༉⩶ᮡ ݅ᮭŝ zᯕ ⢽⩥ࢁ ᙹ ᯩ݅.

Ɨ á ƄÞƖ

_ƈ

ß âƧ

á Ƅ

_Î

ÞƖ

_Î

ß âƄ

_Ï

ÞƖ

_Ï

ß âzâƄ

_Ɖ

ÞƖ

_Ɖ

ß âƧ

(1)

ᩍʑᕽ Ɩ

_Ƈ

۵ Ɩ

_ƈ

á ÞƖ

_Î

ìzìƖ

_Ǝ

ßìÞƎ ð Ɖß ᮹ᇡᇥᱢᯙᄂ░(sub- vector) ᯕ݅.

STEP1: _{² á Ƅ}

_Î

_ÞƖ

_Î

_{ß âƧ}

_Î

STEP2: _Ƨ

_Î

á Ƅ

_Ï

ÞƖ

_Ï

ß âƧ

_Ï

(4)

Table 1. The Permanent Rental Housing Cases of the Study Area in Busan

Town Location Area of exclusive use space Supplied area the number of households Occupancy date

Gaegeum 2 Busanjin-gu gaegeum-dong 1-5 26.64 40.06 990 1994.07

Dadae 3 Saha-gu dadae-dong 113-12 28.32 42.31 750 1992.04

Dadae 4 Saha-gu dadae-dong 96-1 27.41 40.68 1,920 1995.06

Dadae 5 Saha-gu dadae-dong 1548-11 27.01 42.94 2,107 1996.07

Dongbaek Saha-gu dadae-dong 1548-17 29.88 41.46 125 1995.01

Dongsam 1 Yeongdo-gu dongsam-dong 1124-6 27.41 41.83 400 1993.10

Dongsam 2 Yeongdo-gu dongsam-dong 510-9 27.55 43.01 1,120 1995.02

Dukchun 2 Buk-gu dukchun-dong 814-4 27.41 41.40 990 1994.11

Bansong Haeundae-gu bansong-dong 880 26.64 41.19 1,050 1995.02

Bugok Geomjung-gu bugok-dong 964 28.20 32.43

43.54 47.85

255

298 1991.08

Hakjang 1 Sasang-gu hakjang-dong 169-7 28.32 41.82 720 1993.06

Data: Busan metropolitan corporation, 2012

{ (2)

STEPk: _Ƨ

_ƉàÎ

á Ƅ

_Ɖ

ÞƖ

_Ɖ

ß âƧ

_Ɖ

঑௝ᕽᅙᩑǍᨱᕽ۵ᩢǍᯥݡᵝ┾᮹อ᳒ࠥෝ5}᮹ჵ᭥ಽ

ӹ٥ᨩ݅. bჵ᭥۵1ᇡ░5ʭḡ᮹sᮥwŁəsᮡ᯲ᮡsᨱᕽ

ⓑsᮝಽᙽᕽෝaḡíࡽ݅. ᳦ᗮᄡᙹෝ≉⧁ᙹᯩ۵đŝa

g(g 3)}ᯕŁ 1ᇡ░ gʭḡ᮹ ᙽ᭥ಽ ⊂ᱶࡽ Ğᬑ, ٥ᱢ⪶ශ (cumulative probability)ᨱݡ⦽᪅ᷩእ(odds ratios)ಽ⧕ᕾࡽ݅.

j ჵᵝᯕ⦹ಽᗮ⦹۵᳦ᗮᄡᙹYᨱݡ⦽᜾ᮡ݅ᮭŝz݅(Agresti, 1996).

©Þ² = ƈß á ņ

_Î

âzâņ

_ƈ

ì ƈ á Îìzì£

ãć Î à ©ÞƗ = ƈçƖß ©ÞƗ = ƈçƖß äáł

_ƈ

à ā

_{Ɖ á Î}^¤

^ĸ

^Ɖ

^Ɩ

^Ɖ

⁽³⁾

(݉, j=1, 2, ⲷ, J-1)

4. ᩢǍᯥݡᵝ┾᮹ᵝÑ⪹Ğอ᳒ၰ⠪ađᱶ᫵ᯙᇥᕾ

4.1 ডࢂ୺ॷԹ૬ࢫٛ૳

ᅙᩑǍ۵ᇡᔑḡᩎᩢǍᯥݡᵝ┾᮹ᵝÑ⪹Ğᨱݡ⦽ᝅ᷾᳑ᔍ

ෝ ᭥⦹ᩍ ᇡᔑࠥ᜽Ŗᔍᨱᕽ šญ⦹۵ ᩢǍᯥݡᵝ┾ 11ḡǍෝ

ݡᔢᮝಽྕ᯲᭥⇵⇽ჶᨱ᮹⦽⢽ᅙᮥ⇵⇽⦹ᩡ݅. ⢽ᅙ᮹ᙹ۵

ᖙݡᙹa125໦ᮝಽ11ḡǍᵲaᰆᱢᮡᖙݡᙹෝḡܭ࠺႒ḡǍ อ30}ಽ⦹Łӹນḡ10ḡǍ۵b50}ಽ⦹ᩍⅾ530}ᯕḡอ, ᝅᱽᱢᮝಽᖅྙ᳑ᔍ᮹༉ुྙ⧎ᨱݖ⦽ᮁ⬉⦽ᖅྙđŝ۵ⅾ

527}ᯕ݅. ᯕ۵ᇡᔑḡᩎⅾᩢǍᯥݡᵝ┾ᯕ26,296⪙ᯥᮥqᦩ

⧁ভᇡᔑḡᩎᩢǍᯥݡᵝ┾᮹2%ᨱݍ⦹۵ᙹ⊹ᯕ໑, ༉Ḳ݉ᯙ

ᇡᔑࠥ᜽Ŗᔍᨱᕽšญ⦹۵ᩢǍᯥݡᵝ┾10,725⪙᮹4.9%ᯕ݅.

᳑ᔍʑeᮡ2012֥4ᬵ18ᯝᇡ░5ᬵ4ᯝʭḡ17ᯝeḥ⧪ࡹᨩ݅.

᳑ᔍႊჶᮡᇡᔑࠥ᜽Ŗᔍᨱᕽᬕᩢ⦹۵ᩢǍᯥݡᵝ┾᮹Ñᵝᯱॅ

ᮥ Ḣᱲ ႊྙ⦹۵ ໕ᱲ᳑ᔍಽ ᜽⧪ࡹᨩ݅.

4.2 ࣡৤֜নࢫ׆ొധծ

ᅙᩑǍᨱᕽ۵ʑ᳕ྙ⨭ᩑǍđŝෝ☁ݡಽᵝÑ⪹ĞǍᖒ᫵ᗭ

ෝ ྜྷญᱢ ᫵ᯙ, ᔍ⫭Ğᱽᱢ ᫵ᯙ, ⧪┽ᱢ ᫵ᯙᮝಽ Ǎᇥ⦹Ł, b ᫵ᯙॅᮥ ݅ᮭŝ zᯕ 5aḡ ✚ᖒᮝಽ ᖙᇥ⪵⦹ᩡ݅.

ྜྷญᱢ ᫵ᯙᮝಽ۵ Õྜྷ᮹ ԕᇡǍ᳑, ԕᇡ ໕ᱢ, ႊ᮹ }ᙹ, ᯝᔍప, ⪹ʑ☖⣮, Ԫӽႊ, ɪ႑ᙹ, aᜅᱥʑ☖ᝁᗭႊ᜽ᖅ, ᇡᨭ᜽ᖅ, ⪵ᰆᝅ᜽ᖅ, ႊᮭ᜽ᖅ, Łᗮᨹญᄁᯕ░᪡zᮡÕྜྷԕᇡ

᪡šಉࡽ✚ᖒᯕᵝÑ⪹Ğᨱᩢ⨆ᮥၙ⊽݅Ł❱݉⦹ᩡŁ, Õྜྷ᮹

ᦩᱥᖒ, Õྜྷ᮹⊖ᙹ, Õྜྷ᮹༉᧲, Õྜྷ᮹ᔪ₥, ࠺᮹}ᙹ, ךḡŖ e, ᵝ₉Ŗe, ݉ḡԕᇡࠥಽ, סᯕ░, יᯙᱶ, ᅕᮂ᜽ᖅ, ᯱᱥÑ

ᱥᬊࠥಽ, ᰆᧁᯙ ⠙᮹᜽ᖅ zᮡ Õྜྷ ᫙ᇡ᪡ šಉࡽ ✚ᖒॅᯕ

ᵝÑ⪹Ğᯙ᜾ᨱᩢ⨆ᮥၙ⊽݅Ł❱݉⦹ᩍᄡᙹಽǍᖒ⦹ᩡ݅.

ੱ⦽Ʊᮂ⪹Ğ, Ʊ☖⪹Ğ, ❱ๅ᜽ᖅ, ⠙᮹᜽ᖅ, ɝྕḡ᪡᮹Ñญ,

᳑฾, ⏭ᱢ⦽ Ŗʑ᮹ ᯦ḡ ✚ᖒŝ šญእ, ᯥݡഭ, ᯥݡᅕ᷾ɩ, Łᰆ⦹ᯱ⃹ญᗮࠥ, ḡᱶᵝ₉ᱽࠥ᪡zᮡšญᬕᩢ✚ᖒᨱ঑ෙ

ḡ⢽ॅಽ Ǎᖒ⦹ᩡ݅.

⧪┽ᱢ᫵ᯙᮡᵝၝᔾ⪽✚ᖒᨱ঑ෙÕྜྷᵝᄡℎđࠥ, ᮭᵝŁ ᖒႊaၽᔾᱶࠥ, ݉ḡԕᵝၝe⊽ၡࠥ, ݉ḡ᫙ᵝၝe⊽ၡࠥ,

ႊჵ᜽ᖅ॒᮹✚ᖒᯕᵝÑ⪹Ğᯙ᜾ᨱᩢ⨆ᮥၙ⊽݅Ł❱݉⦹ᩍ

ᄡᙹಽ Ǎᖒ⦹ᩡ݅.

(5)

Table 2. Summary of Variables and Descriptive Statistics

Classification Variables Mean STD Min Max Explanation of variables

Dependent variables Overall satisfaction 3.19 0.73 1 5

Five criterion (1=very unimportant,

5=very important)

Independent variables

Internal building characteristics

Position of rooms (INT1) 3.15 0.63 1 5

5=very important)

Dwelling scale (INT2) 2.97 0.72 1 5

Number of rooms (INT3) 3.04 0.74 1 5

Sunlight (INT4) 3.15 0.78 1 5

Ventilation (INT5) 3.20 0.79 1 5

Indoor temperature (INT6) 2.88 0.81 1 5

Watering (INT7) 3.12 0.74 1 5

Gas, power facilities (INT8) 3.16 0.75 1 5 Kitchen facilities (INT9) 3.00 0.80 1 5 Bathroom facilities (INT10) 2.94 0.82 1 5 Soundproof facilities (INT11) 2.81 0.86 1 4

Exterior building characteristics

Safety of apartment (EXT1) 3.09 0.72 1 5

5=very important) Stories of apartment (EXT2) 3.21 0.72 1 5

Shape of apartment (EXT3) 3.17 0.70 1 5 Color of apartment (EXT4) 3.22 0.71 1 5 Scale of apartment (EXT5) 3.24 0.68 1 5

Ratio of green (EXT6) 3.18 0.75 1 5

Parking facility (EXT7) 2.99 0.81 1 5

Street (EXT8) 3.02 0.76 1 5

Playground (EXT9) 3.11 0.69 1 5

Senior-citizen center (EXT10) 3.13 0.70 1 5

Locational characteristics

Educational environment (LOC1) 3.14 0.76 1 5

5=very important) Traffic environment (LOC2) 2.99 0.83 1 5

Service facilities (LOC3) 2.94 0.83 1 5

Amenities (LOC4) 2.85 0.84 1 5

Commuting distance (LOC5) 2.96 0.82 1 5

Viewshaft (LOC6) 3.09 0.78 1 5

Air quality (LOC7) 3.10 0.74 1 5

Managerial characteristics

Maintenance cost (MAN1) 2.56 0.82 1 5

5=very important)

Rental cost (MAN2) 2.67 0.78 1 5

Tenacy bonds (MAN3) 2.82 0.71 1 5

Failure management (MAN4) 2.93 0.75 1 5

Living characteristics

Cleaning (LIV1) 3.14 0.67 1 5

5=very important)

Loud singing (LIV2) 2.88 0.80 1 5

Fellowship in the same complex (LIV3) 3.01 0.64 1 5 Fellowship in the other complex (LIV4) 3.12 0.62 1 5 Crime prevention facilities (LIV5) 3.07 0.65 1 5

(6)

Table 3. Stepwise Logistic Regression: Determinants of Internal Satisfaction on the Permanent Rental Housing

Parameter Maximum Likelihood Estimates

Odds Ratio Estimates Estimate Standard Error Wald Chi-Square

Internal building characteristics

Intercept 5 -8.9627*** 0.8020 124.8820 -

Intercept 4 -4.5255*** 0.5957 57.7179 -

Intercept 3 -2.0591*** 0.5681 13.1359 -

Intercept 2 0.8108 0.6810 1.4172 -

INT1 0.7694*** 0.1601 23.0994 2.158

INT2 0.2412* 0.1377 3.0668 1.273

INT7 0.2649** 0.1242 4.5452 1.303

INT9 -0.2801** 0.1256 4.9756 0.756

INT11 0.2595** 0.1095 5.6179 1.296

Testing Global Null Hypothesis: BETA=0

Test Chi-Square DF Pr > ChiSq

Likelihood 60.0807 5 0.0001

Score 56.7857 5 0.0001

Wald 55.8464 5 0.0001

* P<0.1, ** P<0.05, *** P<0.01

Table 4. Stepwise Logistic Regression: Determinants of Exterior Satisfaction on the Permanent Rental Housing

Exterior building characteristics

Intercept 5 -8.2777*** 0.7603 118.5226 -

Intercept 4 -3.8907*** 0.5482 50.3659 -

Intercept 3 -1.4864*** 0.5243 8.0387 -

Intercept 2 1.3528** 0.6486 4.3503 -

EXT2 0.3629*** 0.1268 8.1881 1.438

EXT4 0.3479*** 0.1314 7.0170 1.416

EXT10 0.3101** 0.1286 5.8133 1.364

Likelihood 38.8193 3 0.0001

Score 36.4622 3 0.0001

Wald 37.6010 3 0.0001

* P<0.1, ** P<0.05, *** P<0.01

4.3 ൉ন࣢ઽ֜ହ۩ச೿ଭசՋฅլ࠮୻ࢫඌԧէ୨ ૬଴ंজ

ᅙᱩᨱᕽ۵ᩑǍݡᔢᮝಽᖁᱶࡽᇡᔑࠥ᜽ŖᔍᇥᩢǍᯥݡᵝ

┾ᮥ b ✚ᖒᄥಽ ᇥᕾ⦹Łᯱ ⦽݅.

Õྜྷԕᇡ✚ᖒᨱš⦽ᬑࠥእ(Likelihood Ratio)۵Chi-square=

60.0807, Pr<0.001ᯕ໑ⅾ11}᮹ᄡᙹᵲ☖ĥᱢᮝಽᮁ᮹⦽

ᄡᙹ۵5}ᯕ݅. ᬑࠥእၰᄡᙹᨱš⦽⇵ᱶsᮡ<Table 3>ᨱ

ӹ┡ӹᯩ݅. Ñᝅ·ႊ·⩥š॒᮹᭥⊹(INT1), ໕ᱢ(INT2), ɪᙹ

ၰ႑ᙹ(INT7), ᇡᨭ᜽ᖅ(INT9), ႊᮭ᜽ᖅ(INT11) ॒ᯕ᮹ၙ

ᯩ۵ᄡᙹಽӹ┡ԍ݅. Ñᝅ·ႊ·⩥š॒᮹᭥⊹(INT1) ⇵ᱶsᮡ

0.7694 ᯕŁ᪅ᷩእ۵2.158ಽÑᝅ॒᮹᭥⊹aอ᳒ᜅ్ᬙᙹಾ

ᱥၹᱢᯙ อ᳒ࠥa 2.158႑ ᷾a⧉ᮥ ᦭ ᙹ ᯩ݅. ໕ᱢ(INT2), ɪᙹ ၰ ႑ᙹ(INT7), ႊᮭ᜽ᖅ(INT11)ࠥ ᧲(+)᮹ sᮝಽ ᮹ၙ

ᯩ۵ᩢ⨆ᮥӝ⊹۵ᄡᙹᯥᮥ᦭ᙹᯩ݅. ၹ໕ᨱᇡᨭ᜽ᖅ(INT9)

ᱢᯙ ᩢ⨆ᮥ ၙ⊹۵ äᮝಽ ӹ┡ԍ݅.

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Table 5. Stepwise Logistic Regression: Determinants of Locational Satisfaction on the Permanent Rental Housing

Locational characteristics

Intercept 5 -7.2862*** 0.7193 102.5970 -

Intercept 4 -2.9564*** 0.5063 34.0935 -

Intercept 3 -0.5898 0.4886 1.4571 -

Intercept 2 2.2554*** 0.6210 13.1920 -

LOC3 0.1580 0.1057 2.2358 1.441

LOC5 0.4399*** 0.1095 16.1398 1.924

LOC7 0.1771 0.1133 2.4431 1.491

Likelihood 28.6834 3 0.0001

Score 27.1983 3 0.0001

Wald 28.3942 3 0.0001

* P<0.1, ** P<0.05, *** P<0.01

Table 6. Stepwise Logistic Regression: Determinants of Managerial Satisfaction on the Permanent Rental Housing

Managerial characteristics

Intercept 5 -6.9682*** 0.6241 124.6515 -

Intercept 4 -2.6181*** 0.3588 53.2304 -

Intercept 3 -0.2416 0.3384 0.5098 -

Intercept 2 2.6132*** 0.5109 26.1645 -

MAN4 0.6727*** 0.1154 33.9576 1.960

Likelihood 33.4111 1 0.0001

Score 30.3372 1 0.0001

Wald 33.9576 1 0.0001

Õྜྷ᫙ᇡ✚ᖒᨱš⦽ᬑࠥእ(Likelihood Ratio)۵Chi-square=

38.8193, Pr<0.001ᯕ໑ⅾ10}᮹ᄡᙹᵲ☖ĥᱢᮝಽᮁ᮹⦽

ᄡᙹ۵3}ᯕ݅. ᬑࠥእၰᄡᙹᨱš⦽⇵ᱶsᮡ<Table 4>ᨱ

ӹ┡ӹᯩ݅. Õྜྷ⊖ᙹ(EXT2), Õྜྷᔪ₥(EXT4), יᯙᱶၰᅕᮂ

᜽ᖅ(EXT10) ᄡᙹॅᯕ᧲(+)᮹sᮝಽᮁ᮹ᖒᮥaḥ݅. Õྜྷ⊖

ᙹ, ᔪ₥, יᯙᱶ॒ᯕอ᳒ᜅ్ᬙᙹಾᱥၹᱢᯙอ᳒ࠥa⍅ḱᮥ

᦭ ᙹ ᯩ݅.

᯦ḡ ✚ᖒᨱ š⦽ ᬑࠥእ(Likelihood Ratio)۵ Chi-square=

28.6834, Pr<0.001 ᯕ໑ⅾ7}᮹ᄡᙹᵲ☖ĥᱢᮝಽᮁ᮹⦽ᄡᙹ ۵ 1}ᐱᯕ݅. ᬑࠥእ ၰ ᄡᙹᨱ š⦽ ⇵ᱶsᮡ <Table 5>ᨱ

ӹ┡ӹᯩ݅. ❱ๅ᜽ᖅ(LOC3), ☖ɝÑญ(LOC5), ݡʑḩ(LOC7)

ᄡᙹॅᯕ༉⩶ᖅ໦᜾ᨱ۵⡍⧉ࡹḡอ, ☖ɝÑญ(LOC5)อᯕ1%

ᙹᵡᨱᕽᮁ᮹⦹íӹ┡ԍ݅. ᷪ, ☖ɝÑญaอ᳒ᜅ్ᬙᙹಾᱥၹ ᱢᯙอ᳒ࠥa1.924႑᷾a⧉ᮥ᦭ᙹᯩ݅. ᯦ḡ✚ᖒॅᯕݡᇡᇥ

ᮁ᮹⦹íӹ┡ԁäᯕ௝۵ᩩᔢŝ۵݅෕íݡᇡᇥᮁ᮹⦹íӹ┡

ӹḡ ᦫᦹ݅.

šญᬕᩢ✚ᖒᨱš⦽ᬑࠥእ(Likelihood Ratio)۵Chi-square=

96.5207, Pr<0.001 ᯕ໑ⅾ4}᮹ᄡᙹᵲ☖ĥᱢᮝಽᮁ᮹⦽ᄡᙹ ۵ 1}ᐱᯕ݅. ᬑࠥእ ၰ ᄡᙹᨱ š⦽ ⇵ᱶsᮡ <Table 6>ᨱ

ӹ┡ӹᯩ݅. Łᰆၽᔾ᜽⃹ญ(MAN4) ᄡᙹอᯕᮁ᮹ᖒᮥaḥ݅.

ᩩᔢŝ۵ݍญᬵšญእ(MAN1) ၰᬵᯥݡഭ(MAN2)aᱥၹᱢ

ᯙ อ᳒ࠥᨱ ᩢ⨆ᮥ ၙ⊹ḡ ᦫ۵ äᮝಽ ӹ┡ԍ݅.

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Table 7. Stepwise Logistic Regression: Determinants of Living Satisfaction on the Permanent Rental Housing

Living characteristics

Intercept 5 -10.6844*** 0.8453 159.7687 -

Intercept 4 -6.0940*** 0.6288 93.9232 -

Intercept 3 -3.5049*** 0.5894 35.3651 -

Intercept 2 -0.5267 0.6908 0.5813 -

LIV1 0.3733** 0.1490 6.2724 1.452

LIV2 -0.2381* 0.1265 3.5416 0.788

LIV3 0.3118* 0.1628 3.6652 1.366

LIV4 0.3151* 0.1742 3.2711 1.370

LIV5 0.9755*** 0.1561 39.0459 2.653

Likelihood 96.5207 5 0.0001

Score 83.3531 5 0.0001

Wald 88.7905 5 0.0001

* P<0.1, ** P<0.05, *** P<0.01

Table 8. Stepwise Logistic Regression: Determinants of Residential Satisfaction on the Permanent Rental Housing

Odds Ratio Estimates

Estimate Standard Error Wald Chi-Square

Intercept 5 -13.5101*** 1.0616 161.961 -

Intercept 4 -8.7301*** 0.8583 103.454 -

Intercept 3 -5.9652*** 0.8115 54.0301 -

Intercept 2 -2.8396*** 0.8676 10.7122 -

INT1 0.5271*** 0.1723 9.359 1.694

INT2 0.2307 0.1426 2.6161 1.259

INT10 -0.276** 0.1188 5.3974 0.759

EXT3 0.2375 0.1512 2.4682 1.268

EXT4 0.2794* 0.1491 3.511 1.322

EXT9 -0.4309*** 0.151 8.1459 0.65

LOC3 0.1849 0.1141 2.6277 1.203

LOC5 0.3569*** 0.1251 8.1329 1.429

LOC6 -0.2389* 0.1271 3.5355 0.787

LIV1 0.3751** 0.1573 5.6838 1.455

LIV2 -0.2167* 0.1302 2.7719 0.805

LIV3 0.3244* 0.1695 3.664 1.383

LIV4 0.3584** 0.1783 4.0408 1.431

LIV5 0.8521*** 0.1644 26.8511 2.345

Likelihood 164.2072 14 0.0001

Score 121.4909 14 0.0001

Wald 124.8081 14 0.0001

* P<0.1, ** P<0.05, *** P<0.01

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ᵝၝᔾ⪽✚ᖒᨱš⦽ᬑࠥእ(Likelihood Ratio)۵Chi-square=

96.5207, Pr<0.001ᯕ໑ⅾ5}᮹ᄡᙹᵲ༉ुᄡᙹaᮁ᮹⦹í

ӹ┡ԍ݅. ᬑࠥእၰᄡᙹᨱš⦽⇵ᱶsᮡ<Table 7>ᨱӹ┡ӹ

ᯩ݅. ℎᗭᔢ┽(LIV1), Łᖒႊaၽᔾᱶࠥ(LIV2), zᮡ݉ḡᵝၝ ŝ᮹⊽ၡࠥ(LIV3), ݅ෙ݉ḡᵝၝŝ᮹⊽ၡࠥ(LIV4), ႊჵ᜽ᖅ (LIV5) ᄡᙹॅᯕ ᮁ᮹ᖒᮥ aḥ݅.

4.4 ઽ֜ହ۩ச೿ଭசՋฅլ࠮୻ࢫඌԧէ୨૬଴ंজ ᅙᱩᨱᕽ۵5aḡ᮹༉ु✚ᖒॅᮥŁಅ⦹ᩍᇥᕾ⦹ᩡ݅. ᩢǍ ᯥݡᵝ┾᮹ᵝÑ⪹Ğอ᳒ၰ⠪ađᱶ᫵ᯙᨱš⦽༉⩶᮹ᱢ⧊ᖒ

ᮡ<Table 8>ᨱӹ᪡ᯩ۵ä⃹ౝᬑࠥእ(Likelihood Ratio)a

Chi-square=164.2072, Pr<0.0001ಽᱢ⧊⦹݅Ł⧁ᙹᯩ݅. ⅾ

37 }᮹ࠦพᄡᙹᵲ༉⩶᜾ᨱ⡍⧉ࡽᄡᙹ۵14}ᯕ໑, ☖ĥᱢᮝಽ

ᮁ᮹⦽ ᄡᙹ۵ 11}ᯕ݅.

✚ᖒᄥಽ ᔕ⠕ᅕ໕, Õྜྷԕᇡ ✚ᖒᨱᕽ۵ Ñᝅ·ႊ·⩥š ॒᮹

᭥⊹(INT1), ⪵ᰆᝅ᜽ᖅ(INT10) ᄡᙹॅᯕᮁ᮹⦹íӹ┡ԍ݅.

ᷪ, Ñᝅ॒᮹᭥⊹aอ᳒ᜅ్ᬙᙹಾᱥၹᱢᯙอ᳒ࠥa1.694႑

᷾a⧉ᮥ᦭ᙹᯩḡอ, ⪵ᰆᝅ᜽ᖅᮡᮭ(-)᮹sᮝಽอ᳒ࠥᨱ

ᇡᱶᱢᯙ ᩢ⨆ᮥ ၙ⊹۵ äᮝಽ ӹ┡ԍ݅. ᷪ, ᩢǍᯥݡᵝ┾᮹

ᱥℕᱢᯙ อ᳒ࠥ ᔢ᜚ᨱ ᩢ⨆ᮥ ၙ⊹ḡ ᦫ۵݅Ł ⧕ᕾࡽ݅.

Õྜྷ᫙ᇡ✚ᖒᨱᕽ۵Õྜྷ᮹ᔪ₥(EXT4), סᯕ░(EXT9) ᄡᙹ

ॅᯕ ᮁ᮹⧉ᮥ ᅕᩡ݅.

᯦ḡ ✚ᖒᨱᕽ۵ ☖ɝÑญ(LOC5), ᳑฾ǭ(LOC6) ᄡᙹॅᯕ

ᮁ᮹⧉ᮥ ᅕᩡ݅.

ᩢǍᯥݡᵝ┾᮹ᵝÑ⪹Ğอ᳒ࠥᨱᵲ᫵⦹݅Łᔾb⦽šญᬕ

ᩢ ✚ᖒᮡ ⦹ӹࠥ ᮁ᮹⦹í ӹ┡ӹḡ ᦫᦹ݅.

ᵝၝᔾ⪽ ✚ᖒᨱᕽ۵ ℎᗭᔢ┽(LIV1), Łᖒႊa ၽᔾᱶࠥ

(LIV2), zᮡ݉ḡᵝၝŝ᮹⊽ၡࠥ(LIV3), ݅ෙ݉ḡᵝၝŝ᮹

⊽ၡࠥ(LIV4), ႊჵ᜽ᖅ(LIV5) ॒༉ुᄡᙹॅᯕᮁ᮹⦹íӹ┡ԍ

݅. ⦹ḡอ Łᖒႊa ၽᔾᱶࠥ(LIV2) ᄡᙹอᯕ ᮭ(-)᮹ sᮝಽ

ᱥℕᱢᯙᵝÑอ᳒ࠥᨱᇡᱶᱢᯙᩢ⨆ᮥၙⅅ݅. ݡᇡᇥ᮹᮲ݖᯱ

ॅᯕอ᳒ࠥaᦥܩŁၽᔾᱶࠥaฯᮭᮥᔾb⦹Łၹݡಽ᮲ݖ⦽

äᮝಽ ᔾbࡽ݅.

5. đು

ᯙeᯕᯙeݖíᔕʑ᭥⧕ʑᅙᱢᮝಽ⦥᫵⦽᫵ᗭᵲ⦹ӹᯙ

ᵝÑ⪹Ğᮥݡ⦽ၝǎ༉ुǎၝᯕᩢ᭥⧁ᙹᯩࠥಾᬑญᱶᇡᨱᕽ ۵ฯᮡיಆᮥʑᬙᯕŁᯩ݅. ✚⯩ᱶᇡ᮹ᩍ్ᵝ┾ᱶ₦ᵲ

ᩢᖙၝᮥ᭥⦽ᩢǍᯥݡᵝ┾॒᮹ᵝ┾ᱶ₦ᮡ༉ुǎၝ᮹ᵝÑᅖ ḡᝅ⩥ᨱɮᱶᱢᯙᩢ⨆ᮥᵝᨩ݅. ⦹ḡอᵝÑ⪹Ğᨱ۵əäᮥ

Ǎᖒ⦹۵ᩍ్᫵ᯙᯕᯩᮭᨱࠥᇩǍ⦹Ł, ᱶᇡᨱᕽ۵݉ḡྜྷญᱢ

ᯙ Ŗeอᮥ ᱽŖ⦹۵ ⦽ĥᨱ ᅪ₊⧩݅.

ᱶᇡ᮹ᵝ┾ᱶ₦ᨱ঑ෙᵝÑ⪹Ğᨱݡ⦽ᩍ్ᩑǍॅᵲᨱ

ᦥḢʭḡᇡᔑḡᩎ᮹ᩢǍᯥݡᵝ┾ᨱݡ⦽ᝅ᷾ᱢ ᩑǍ۵ฯḡ

ᦫᮡᝅᱶᯕ݅. ੱ⦽እƱݡᔢḡǍ᮹ᙹࠥ2~3}ᱶࠥၷᨱḡӹḡ

ᦫ۵݅. ঑௝ᕽᅙᩑǍᨱᕽᩢǍᯥݡᵝ┾ᵝÑ⪹Ğᨱݡ⦽እƱ

ݡᔢḡǍෝᇡᔑࠥ᜽Ŗᔍᨱᕽšญ⦹۵ᩢǍᯥݡᵝ┾11}ḡǍ ಽᱶ⦹ᩍ ᝅ᷾ᱢᮝಽ እƱᇥᕾ⦽ äᮡ ┡ᩑǍ᪡᮹ ₉ᄥᖒᯕ

ᯩ݅Ł ⧁ ᙹ ᯩ݅.

ⅾ 37}᮹ ᄡᙹෝ ᵝ┾ԕᇡ✚ᖒ, ᵝ┾᫙ᇡ✚ᖒ, ḡᩎᱢ✚ᖒ, šญᬕᩢ✚ᖒ, ᵝၝᔾ⪽✚ᖒ॒5}᮹✚ᖒᮝಽǍᇥ⦹ᩍᇥᕾ⦹ᩡ

݅. ᇥᕾđŝ, Ñᝅ·ႊ·⩥š॒᮹᭥⊹aอ᳒ᜅ్ᬙᙹಾᱥℕᱢᯙ

อ᳒ࠥa᷾a⦹ᩡ݅. ə᫙ᨱࠥÕྜྷ᮹ᔪ₥, סᯕ░, ☖ɝÑญ,

᳑฾ǭ॒ᯕอ᳒ᜅ్ᬙᙹಾอ᳒ࠥa᷾a⦹ᩡ݅. ⦹ḡอᩩᔢŝ ۵ݍญᬵᯥݡഭၰšญእ॒᮹šญᬕᩢ✚ᖒॅᮡᩢǍᯥݡᵝ┾

᮹อ᳒ࠥᨱᱥ⩡ၹᩢࡹḡ༜⦹ᩡ݅. ᵝၝᔾ⪽✚ᖒᵲᨱ۵ℎᗭᔢ

┽, Łᖒႊaၽᔾᱶࠥ, ᵝၝॅŝ᮹⊽ၡࠥ, ႊჶ᜽ᖅ॒ᯕᮁ᮹⦹

í ӹ┡ԍ݅.

ᩢǍᯥݡᵝ┾ᮡݡᇡᇥ1990֥ݡÕᖅࡹᨕי⬥⪵ࡹŁᯩḡอ, Ñᵝᯱॅᮡə౑ྜྷญᱢᯙ᫵ᯙᅕ݅۵᯦ḡᱢᯙ᫵ᯙŝᵝၝᔾ⪽

᫵ᯙॅᯕᵲ᫵⦹݅Łᔾb⦹Łᯩ݅. ⦹ḡอ↽ɝᵝ┾Õᖅᨱᕽ

ฯᯕ᜽⧪ࡹŁᯩ۵ᄁ௡݅⪶ᰆ⩶Ǎ᳑ӹ┡ᬭ⩶Ǎ᳑, ྕᯙĞእ᜽

ᜅ▽॒ᨱݡ⦽⦥᫵ᖒࠥᅕᯕŁᯩ݅. ঑௝ᕽ↽ᝁʑᚁᮥ↽ݡ⦽

⪽ᬊ⦹ᩍ ᩢǍᯥݡᵝ┾ Ñᵝᯱ᮹ ⠙᮹ෝ ࠥ༉⦹ࡹ, Ğᱽᱢᮝಽ

ᇡݕᯕࡹḡᦫᮥᙹᵡᮝಽᱢᬊ⦹۵äᯕᵲ᫵⦹݅۵äᮥᯙ᜾⧕

᧝ ⧁ äᯕ݅.

qᔍ᮹ɡ

ᯕםྙᮡᇡᔑݡ⦺Ʊᯱᮁŝᱽ⦺ᚁᩑǍእ(2֥)ᨱ᮹⦹ᩍᩑǍ

ࡹᨩᮭ.

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A Study on the Evaluation of the Residential Environment of the Permanent Rental Housing in Busan Using Stepwise Logistic Regression

Ǥ ǤǤ

ౖવ ȵ׌෴ஜ ȵవটࢠ

Choi, Yeol*, Kim, Hyeong Jun**, Chun, Sun Mi***

A Study on the Evaluation of the Residential Environment of the Permanent Rental Housing in Busan Using Stepwise Logistic Regression

ABSTRACT

Key words : Permanent rental housing, Rental housing, Residential environment, Stepwise logistic regression

Ⅹಾ

ᱽŖ⦹۵⦽ĥᨱᅪ₊⧩݅. ə௹ᕽᩢǍᯥݡᵝ┾᮹ᇩอ॒᳒ᮥ}ᖁ⦹ʑ᭥⦽ʑⅩᯱഭෝᱽŖ⦹Łᯱ⦹Łᯱ, ᇡᔑࠥ᜽Ŗᔍᨱᕽšญ⦹۵ᩢ

Ǎᯥݡᵝ┾Ñᵝᯱෝݡᔢᮝಽᖅྙ᳑ᔍෝᝅ᜽⦹ᩡ݅. ᯕᩑǍ᮹đŝ۵݅ᮭŝz݅. ᩢǍᯥݡᵝ┾อ᳒ࠥᨱᬵᯥݡഭ, šญእ॒᮹šญᱢ✚

ᖒॅᮡÑ᮹ᩢ⨆ᮥၙ⊹ḡ༜⦹ᩡŁ, Ñᝅ읆ႊ॒᮹᭥⊹ၰ⪵ᰆᝅ᜽ᖅ, ☖ɝÑญ, ᳑฾ǭ, סᯕ░॒ᯕᩢ⨆ᮥၙⅅ݅. ᵝၝᔾ⪽✚ᖒᵲᨱ۵

áᔪᨕ ᩢǍᯥݡᵝ┾, ᯥݡᵝ┾, ᵝÑ⪹Ğ, ݉ĥᄥಽḴ༉ߙ

1. ᕽು

1.1 ઴֜ࢼլࢫࡧୡ

ᩢǍᯥݡᵝ┾ᮡᗭा᧲ɚ⪵ᨱ঑ෙᵝ┾ྙᱽෝ⧕đ⦹ʑ᭥⧕

ᱽ᜽ࡽ1989֥ࠥ᜽ᩢᖙၝᵝÑᦩᱶ✚ᄥݡ₦᮹ᯝ⪹ᮝಽᇥ᧲ᮥ

ᱥᱽ⦹ḡᦫŁᯥݡอᮥ᭥⧕อॅᨕḥᵝ┾ᯕ݅. ᱥᬊ23~43⽊

Ƚ༉ಽÕᖅࡽᩢǍᯥݡᵝ┾ᮡᱶᇡḡᯱℕ(ḡႊŖʑᨦ)᮹ᰍᱶ ᨱᕽ Õᖅእ᮹ 85%ෝ ᅕ᳑⦹Ł, ᯦ᵝᯱa 15%อᮥ ᇡݕ⦽݅.

ᷪ, ᜽ᖙᅕ݅ ᱡಕ⦽ ᅕ᷾ɩŝ ᯥݡഭෝ ᔑᱶ⦹ᩍ ᯱa ᵝ┾ᮥ

ᅕᮁ⧁ ᙹ ᨧ۵ ᱡᗭा⊖ᮥ ݡᔢᮝಽ ᩢǍᱢᯙ Ñᵝa a܆⧁

ᙹ ᯩࠥಾ ⦽ äᯕ݅. ᯕ۵ ᵝ┾᮹ ᙹ⩽ݡᔢᮥ ჶᱶᩢᖙၝᮝಽ

໦⪶⯩ᱽ⦽⦽, ᔍ⫭ᱢ᧞ᯱᨱíᵝÑᅖḡෝᱽŖ⦹ᩍᔗ᮹ḩᮥ

⨆ᔢ᜽┅Łᯱ ⦹۵ ᱶᇡ᮹ ᮹ḡa ݕĉ ᯩ۵ ᔍᨦᯕ݅. ⦹ḡอ

ᱶᇡ۵ Ñᵝĥ⊖ᨱ ݡ⦽ ᖙᇡᱢᯕŁ ḩᱢᯙ Łಅ۵ ႑ᱽ⦽ ₥

᧲ᱢ᷾ݡᨱอ⊹ᵲ⦹ᩡᮝ໑, ḡӹ⊹íᱽ⦽ࡽ᯦ᵝᯱ᳑Õᮡ᯦ᵝ

ᯱၙݍᮥ᧝ʑ᜽⎑݅. ə௹ᕽə⬥ᩢǍᯥݡᵝ┾ᨱݡ⦽ᔍ⫭ᱢ

ၹݡᩍು॒᮹ᔍ┽ᨱḢ໕⦹íࡹᨩ݅. đǎᩢǍᯥݡᵝ┾ᔍᨦᮡ

ĥ⫮Ⅹʑᨱ۵25อ⪙᮹༊⢽ಽ⇵ḥࡹᨩᮝӹ⃹ᮭĥ⫮ᅕ݅ᱢᮡ

190,077 ⪙a ᱥǎᱢᮝಽ Ŗɪࡽ ₥ 1992֥ᨱ ᵲ݉ࡹᨩ݅.

⦹ḡอᱶᇡ۵ḡᗮᱢᮝಽᯝၹᕽၝॅᐱอᦥܩ௝ᔍ⫭ᱢ᧞ᯱ

ᯙᱡᗭा⊖ʭḡࠥᦩᱶᱢᯙᵝÑᔾ⪽ᮥ⧁ᙹᯩࠥಾᵝ┾Ŗɪᱶ

₦ᮥ⇵ḥ⦹Łᯩ݅. 2008֥9ᬵᨱ۵ᩢǍᯥݡᵝ┾᯦ᵝݡʑᯱෝ

⧕ᗭ⦹Ł↽ᱡᗭा⊖᮹ᵝÑᦩᱶᮥ᭥⧕ᩢǍᯥݡ10อ⪙Ŗɪᰍ }ෝၽ⢽⦹ᩡ݅. ੱ⦽ᵝ┾᳦⧊ĥ⫮(2003~2012)ᨱᕽ۵ǎၝᵝ Ñᅖḡ⨆ᔢᮥ᭥⦽ႊჶᮝಽᰆʑŖŖᯥݡᵝ┾150อ⪙Õᖅᮥ

༊⢽ಽ ⦹Ł ᯩ݅(ǎ☁⧕᧲ᇡ, 2011). ᦩ┡ʾíࠥ ᯕ౑ ᱶᇡ᮹

ᵝ┾ᱶ₦ᮡ ᧲ᱢᯙ ᵝ┾Ŗɪ ⪶∊ᨱอ ɪɪ⧁ ᐱ ᵝ┾᮹ ḩᱢ

ᙹᵡ⨆ᔢᨱݡ⦽Łಅ۵ၙ⯂⦽ᝅᱶᯕ݅. ᵝ┾ᯕ݉ḡÑᵝ⦹ʑอ

ᮥ᭥⦽ྜྷญᱢᯙŖeᮥ᮹ၙ⦹۵äᯕᦥܭᯙeᔾ⪽ᮥᩢ᭥⦹ʑ

᭥⦽ʑⅩaࡹ۵ᰆᗭᯥᮥŁಅ⦽݅໕, Ñᵝᯱॅᯕᬱ⦹۵ᵝÑ⪹

Ğᮥw⇹ᵝ┾ᮥᱽŖ⦹ʑ᭥⦽ᱶ₦ᯕ᜽ɪ⦹݅. ᩢǍᯥݡᵝ┾ᮥ

እ೐⦽ŖŖᯥݡᵝ┾ᮡᱡᗭा⊖ᮥ᭥⦽ᱶᇡ᮹᜽⩽ᱢᯙᅖḡ᷾

ḥ᮹₉ᬱᨱᕽ}ḥࡽᔍᨦᯕฯᦥ, Ñᵝᯱॅᯕᝅḩᱢᮝಽ⦥᫵ಽ

⦹Łᬱ⦹۵ᵝÑ⪹Ğᮥ ₞᳑⦹ʑᅕ݅۵݉᜽eԕྜྷญᱢᮝಽ

ᔕᦥiᙹᯩ۵ŖeᮥᱽŖ⦹Łᯱ⦹۵᮹ḡa޵ฯᯕၹᩢࡹᨩ݅.

ᯕ౑ྜྷญᱢᯙᵝÑŖeอᮥ᭥ᵝಽᱽŖၼᮡÑᵝᯱॅᮡᵝᯙ᮹

᜾ᯕ đᩍࡹᨕᵝ┾ ݉ḡ ԕŖŖ᜽ᖅྜྷᮥ ᗭᵲ⯩ ݅൉ḡᦫᦥ

ᯱᵝŁᰆӹí⦹Ñӹ, Õྜྷ᫙ᄞᨱӺᕽෝ⦹Ł, ᥑ౩ʑෝ⧉ᇡಽ

ქญ۵ ॒ Ŗ࠺ℕ ᮹᜾ ᇡ᳒ᮝಽ ᧝ʑࡹ۵ ྙᱽॅᯕ ၽᔾ⦽݅.

ᯕ్⦽ᔍᗭ⦽ɝฑྕḩᕽ۵ᵲݡ⦽ჵᴥಽၽᱥ⧁ᙹᯩᮝ໑(ᰆᕾ

⨭, 2003), ḡᨕḥḡ᪅௹ࡽ ᩢǍᯥݡᵝ┾᮹י⬥⪵᪡ᜍౝ⪵, ᯙɝ ᯝၹ ᵝၝॅŝ᮹ i॒ ॒ᮡ ᝍb⦽ ᔍ⫭ྙᱽᨱʭḡ ᯕෝ

ᙹ ᯩí ࡽ݅.

↽ɝᨱ۵ᵝ┾᮹᧲ᱢŖɪᨱอ⊹ᵲ⦹ᩡ޹ᱶᇡ᮹ᵝ┾ᱶ₦ᨱ

ݡ⧕ĞbᝍᮥwŁᵝ┾᮹ḩᱢŖɪᨱݡ⦽ᱽᨙᮥ᭥⧕ᩢǍᯥݡ ᵝ┾ᮥእ೐⦽ŖŖᯥݡᵝ┾Ñᵝᯱॅ᮹ᵝÑᝅᔢᨱݡ⦽ᩑǍa

ᯝᇡḡᩎᮥݡᔢᮝಽ᜽⧪ࡹŁᯩ݅. ᅙᩑǍᨱᕽ۵ʑ᳕ᩑǍᨱᕽ

᜽⧪ࡹḡᦫᦹ޹ᇡᔑḡᩎᩢǍᯥݡᵝ┾ᵲᇡᔑࠥ᜽ŖᔍᩢǍᯥ ݡᵝ┾ᮥ ݡᔢᮝಽ Ñᵝᯱॅ᮹ ᵝÑ⪹Ğᨱ ݡ⦽ ᯙ᜾ ᙹᵡ ၰ

əॅᯕᬱ⦹۵äᯕྕᨨᯙḡ⩥⫊ᮥ❭ᦦ⦹Łᯱ⦽݅. ޵ӹᦥa

⨆⬥ŖŖᯥݡᵝ┾Õᖅ᜽Ñᵝᯱॅᯕᇩอ᳒⦹۵ᇡᇥᮥᅕ᪥⦹

Ł⏭ᱢ⦽ᵝÑ⪹ĞᮥᱽŖ⧁ᙹᯩ۵ႊ⨆ᮥᱽ᜽⦹Łᯱ⦽݅.

ə௹ᕽᱡᗭा⊖ᮥ᭥⦽᧲ŝḩ᮹ࢱaḡ⊂໕༉ࢱෝอ᳒᜽┍

ᙹᯩ۵ᵝ┾ᮥᱽŖ⧉ᮝಽ៉ḥᱶ⦽ᵝÑᅖḡaᝅ⧪ࡹࠥಾ⦹۵ ߑ ᮹᮹ෝ ࢵ݅.

1.2 ઴֜۩ঃࢫࢺ࣑

ᅙᩑǍᨱᕽ۵ǎၝ᮹ᵝÑᅖḡෝᝅ⩥⦹ʑ᭥⦹ᩍᝅ⧪ࡽᵝ┾

ᱶ₦᮹ᯝ⪹ᯙᩢǍᯥݡᵝ┾ᵲᇡᔑࠥ᜽Ŗᔍᨱᕽšญᬕᩢ⦹۵

ᩢǍᯥݡᵝ┾ᮥݡᔢᮝಽÑᵝᯱॅ᮹ᵝÑ⪹Ğᨱݡ⦽ᯙ᜾ᮥ᳑

ᔍ⦹Ł, əॅᯕᬱ⦹۵ၵෝ❭ᦦ⦹Łᯱ⦽݅. ᇡᔑḡᩎᨱ۵ᇡᔑࠥ

᜽Ŗᔍ᪡⦽ǎ☁ḡᵝ┾Ŗᔍᨱᕽšญᬕᩢ⦹۵ᩢǍᯥݡᵝ┾ᯕ

ᯩ݅. ᇡᔑࠥ᜽Ŗᔍašญᬕᩢ⦹۵ᩢǍᯥݡᵝ┾ᮡ}ɩ2, ݅ݡ 3, ݅ݡ4, ݅ݡ5, ࠺႒, ࠺ᔝ1, ࠺ᔝ2, ޶⃽2, ၹᘂ, ᇡł, ⦺ᰆ1᮹

11 }ḡǍᯕ݅. ᯕ11}ḡǍᨱÑᵝ⦹۵ᔍ௭ॅᮥݡᔢᮝಽb

ḡǍᄥ ⢽ᅙᮥ ⇵⇽⦹ᩍ Ñᵝᯱॅ᮹ ✚ᖒᄥ ᵝÑ⪹Ğ อ᳒ ၰ

ᖁ⪙ᨱ ݡ⦽ ᖅྙ᳑ᔍෝ ᝅ᜽⦹ᩡ݅.

ᩑǍ᮹ႊჶᮝಽ۵1:1 ໕ᱲᖅྙ᳑ᔍđŝෝၵ┶ᮝಽᇡᔑḡᩎ

ᩢǍᯥݡᵝ┾᮹ᵝÑ⪹Ğᙹᵡ⠪aᇥᕾᮥ᭥⧕݉ĥᄥಽḴ༉⩶

(Stepwise Logistic Regression)ᮥ ᯕᬊ⦹ᩍ ᇥᕾ⦹ᩡ݅.

2. ᖁ⧪ᩑǍ

ᵝÑ⪹Ğ⠪a۵Ñᵝ⦹Łᯩ۵ᵝ┾ᨱݡ⦽ᵝÑᗭእᯱ᮹ᵝš ᱢᯙ⠪aᔢ┽ෝ᮹ၙ⦹໑, ᵝÑ᫶Ǎa∊᳒ࡽᱶࠥᨱݡ⦽⠪aᯕ

݅(Brink & Johnson, 1979).

Gyourko & Linneman(1989) ۵ە᫶᜽᮹ᯥݡᵝ┾ᮥݡᔢᮝಽ

ᯥݡʑeŝᯥݡഭᅕ᳑ɩŝ᮹šĥෝᩑǍ⦹ᩡ݅. ੱ⦽Pollakowski (1997) ۵ە᫶᜽᮹ᯥݡഭaĊᨱݡ⦽Ƚᱽa᪥⪵ࡹ໕ᯥݡഭa

᷾a⦽݅Ł ⦹ᩡ݅.

Hans Kristensen(2002) ۵ߕษⓍ᮹ᯥݡᵝ┾ᱶ₦ŝᅖḡ⩶┽

ෝᩑǍ⦹ᩡ݅. ᱶʑᱢᮝಽᵝ┾ԕᇡ᮹ᇡᨭŝ᫶ᝅ॒ᮥญ༉ߙย

ǤǤǤ

ౖવȵ׌෴ஜȵవটࢠ

Choi, Yeol, Kim, Hyeong Jun, Chun, Sun Mi

áᔪᨕ ᩢǍᯥݡᵝ┾, ᯥݡᵝ┾, ᵝÑ⪹Ğ, ݉ĥᄥಽḴ༉ߙ