°ÇÃ൵½Ã°ø°£¿¬±¸¼Ò

Architecture & Urban Research Institute

pdf¿ø¹®º¸±â ¿¡·¯ ÇØ°á¹æ¹ý ¹Ù·Î°¡±â



¹®ÇåȨ > ¿¬±¸³í¹® > »ó¼¼

[¿ø¹®º¸±â½Ã ¼ÒºñµÇ´Â Æ÷ÀÎÆ® : 100 Æ÷ÀÎÆ®] ¹Ì¸®º¸±â Àοë

¼­¿ïÁÖÅõµ½Ã°ø»ç|ÁÖÅõµ½Ã¿¬±¸ 2017³â 12¿ù

³í¹®¸í °ø°øÀÓ´ëÁÖÅà ÀÔÁÖ°èÃþº° ÁÖÅüö¿äÃßÁ¤ ¹æ¹ý ¿¬±¸ / Housing Demand Estimation Method for Public Rental Housing - Focused on Happy House - / ÇູÁÖÅÃÀ» Áß½ÉÀ¸·Î
ÀúÀÚ¸í ±èÁøÀ¯(Kim, Jin-Yoo) ; ÀÌâ¿ì(Lee, Chang-Woo)½Äº°ÀúÀÚ
¹ßÇà»ç ¼­¿ïÁÖÅõµ½Ã°ø»ç
¼ö·Ï»çÇ× ÁÖÅõµ½Ã¿¬±¸, Vol.07 No.03 (2017-12)
ÆäÀÌÁö ½ÃÀÛÆäÀÌÁö(1) ÃÑÆäÀÌÁö(18)
ISSN 2234-0505
ÁÖÁ¦ºÐ·ù °èȹ¹×¼³°è / µµ½Ã / ½Ã°ø(Àû»ê)
ÁÖÁ¦¾î ÁÖÅüö¿ä ; °ø°øÀÓ´ë ; Ãë¾à°èÃþ ; ÇູÁÖÅà ; Housing Demand ; Public Rental Housing ; Vulnerable Group ; Happy House
¿ä¾à2 The purpose of this study is to develop a resonable estimation method of public rental housing demand for vulnerable groups. The procedure includes 5 stages. At the first stage, new housing demand of vulnerable groups is estimated by target group including university students, newly married couple, young workers, and elders. Second stage calculates demolition rate of existing housing by the previous years statistical trends. The disappearing housing units are added to the new demand because destruction causes alternative demand. The third stage reviews housing units supplied by the other projects within the study project period. The number of units will be deducted from the new demand. At the fourth, net demand is estimated by subtracting competitive supply from the demand. Finally, the price elasticity of housing demand is applied to the net demand. The case study shows that the newly developed housing demand procedure of this study makes totally different results compared to the existing estimation method. The number of housing units estimated by various vulnerable groups are different from that of traditional housing demand methodology such as Mankiw-Weil model. The results imply that target group demand estimation needs more detailed data and procedure rather than simple approach like population based estimation model.
¼ÒÀåó ¼­¿ïÁÖÅõµ½Ã°ø»ç
¾ð¾î Çѱ¹¾î
DOI https://doi.org/10.26700/shuri.2017.12.7.3.1
¡á Ãßõ¹®Çå (ÀÌ ¹®Çå°ú °°ÀÌ º» ¹®Çå)
ÁÖÅüö¿ä ÃßÁ¤À» ÅëÇÑ ÇâÈÄ ÁÖÅüö±Þ Àü¸Á
Ȳ±Ô¿Ï ; ¹ÚÀº°æ - Issue Report : n.8 (201011)
»ó¾÷¿ëÁö ¼ö¿äÃßÁ¤±â¹ý ºñ±³ºÐ¼® ¿¬±¸
ÀÌ»óÁØ ; À±Á¤Áß - LHI Journal : v.3 n.4 (201210)
ÇöÀåÁ¶»ç¸¦ ÅëÇÑ 1ÀÎ´ç ¾÷¹«°ø°£ÀÇ ÀûÁ¤ ¸éÀû Á¦¾È
½Å»óÈñ(Shin, Sang-Hee) ; ¹®¼ö¿µ(MoonSoo-Young) - ´ëÇѰÇÃàÇÐȸ³í¹®Áý °èȹ°è : v.30 n.8 (201408)
[½Ã·Ð] 4Â÷ »ê¾÷Çõ¸í ½Ã´ë, °ÇÃàÀÇ ´ëÀÀ
À̸í½Ä(Lee, Myung-Sik) - °ÇÃà(´ëÇѰÇÃàÇÐȸÁö) : Vol.61 No.05 (201705)
û³â 1Àΰ¡±¸¸¦ À§ÇÑ Áְſ䱸 ºÐ¼®
À̼ҿµ(Lee, So-Young) ; ¾ö¼øÃ¶(Eom, Soon-Cheol) - Çѱ¹½Ç³»µðÀÚÀÎÇÐȸ ³í¹®Áý : Vol.27 No.2(Åë±Ç 127È£) (201804)
»ç¶÷ Á᫐ °¡·Î Á¶¼ºÀ» À§ÇÑ µµ½Ã¼³°è ¿¬±¸
ÀÓÀ¯°æ(Lim, Yookyoung) ; ¼ºÀº¿µ(Seong, Eunyoung) ; ÀÓ°­·û(Lim, Kang Ryoon) - ¿¬±¸º¸°í¼­(±âº») : 2015 No.06 (201510)
°ø°øÁÖÅà »ç¾÷Áö±¸ÀÇ ¼ö¿äÆò°¡¸ðµ¨ ±¸Ãà ¿¬±¸
Áö±ÔÇö ; À̼ҿµ ; ±è¿ë¼ø - LHI Journal : v.5 n.4 (201410)
¸ÇÅ¥-¿þÀÏ Àå±âÁÖÅüö¿ä¸ðÇüÀÇ ÀûÁ¤¼º Æò°¡
Á¤Ã¢¹«(Jung Chang-Mu) - ´ëÇѰÇÃàÇÐȸ³í¹®Áý °èȹ°è : v.24 n.2 (200802)
·½ ÄðÇϽº¿Í Ä«Áî¿ä ¼¼Áö¸¶ °ÇÃà¿¡¼­ ³ªÅ¸³ª´Â ÇÁ·Î±×·¥ÀÇ Á¶Á÷°ú °ø°£±¸¼º ¹æ¹ýÀÇ ºñ±³ºÐ¼®
±Ç°æ¹Î ; ±èÁ¾Áø - Çѱ¹½Ç³»µðÀÚÀÎÇÐȸ ³í¹®Áý : v.16 n.6(Åë±Ç 65È£) (200712)
[ƯÁý] ±¹³» ģȯ°æ °ÇÃ๰ »ç·Ê ºÐ¼®
Á¤Áö³ª ; ±è¿ë¼® ; À̽¹Π- ±×¸°ºôµù(Çѱ¹±×¸°ºôµùÇùÀÇȸÁö) : v.9 n.1 (200803)