The Impact of Taiwan MRT System on Housing Prices
碩士 === 國立高雄大學 === 國際企業管理碩士學位學程 === 106 === MRT system has become one of the most important transportation in Taipei and Kaohsiung. Many studies have showed that when the distance to public transportation increases, the housing prices decline. While most earlier studies only focus on the housing pric...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | en_US |
Published: |
2018
|
Online Access: | http://ndltd.ncl.edu.tw/handle/x2tc5c |
id |
ndltd-TW-106NUK01320002 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-TW-106NUK013200022019-05-16T00:08:19Z http://ndltd.ncl.edu.tw/handle/x2tc5c The Impact of Taiwan MRT System on Housing Prices 台灣捷運系統對房價的影響 SHIH, JUI-FAN 石睿凡 碩士 國立高雄大學 國際企業管理碩士學位學程 106 MRT system has become one of the most important transportation in Taipei and Kaohsiung. Many studies have showed that when the distance to public transportation increases, the housing prices decline. While most earlier studies only focus on the housing prices in one city or one transportation line and estimate the whole MRT lines in Taipei and Kaohsiung as well as comparing the difference of these two cities by using linear regression analysis. The results indicate that when the distance to MRT station increases by 1 km, the housing prices decrease by $NT290,650 per ping. When the distance to MRT station is within 3 km, the housing prices decrease by $NT230,870 if the distance to MRT station increases by 1 km. Meanwhile, the relationship to housing prices and distance is a U shape. The results also show that the distance to the MRT system in Taipei has greater impact on housing prices than Kaohsiung. KENG, SHAO-HSUN 耿紹勛 2018 學位論文 ; thesis 30 en_US |
collection |
NDLTD |
language |
en_US |
format |
Others
|
sources |
NDLTD |
description |
碩士 === 國立高雄大學 === 國際企業管理碩士學位學程 === 106 === MRT system has become one of the most important transportation in Taipei and Kaohsiung. Many studies have showed that when the distance to public transportation increases, the housing prices decline. While most earlier studies only focus on the housing prices in one city or one transportation line and estimate the whole MRT lines in Taipei and Kaohsiung as well as comparing the difference of these two cities by using linear regression analysis.
The results indicate that when the distance to MRT station increases by 1 km, the housing prices decrease by $NT290,650 per ping. When the distance to MRT station is within 3 km, the housing prices decrease by $NT230,870 if the distance to MRT station increases by 1 km. Meanwhile, the relationship to housing prices and distance is a U shape. The results also show that the distance to the MRT system in Taipei has greater impact on housing prices than Kaohsiung.
|
author2 |
KENG, SHAO-HSUN |
author_facet |
KENG, SHAO-HSUN SHIH, JUI-FAN 石睿凡 |
author |
SHIH, JUI-FAN 石睿凡 |
spellingShingle |
SHIH, JUI-FAN 石睿凡 The Impact of Taiwan MRT System on Housing Prices |
author_sort |
SHIH, JUI-FAN |
title |
The Impact of Taiwan MRT System on Housing Prices |
title_short |
The Impact of Taiwan MRT System on Housing Prices |
title_full |
The Impact of Taiwan MRT System on Housing Prices |
title_fullStr |
The Impact of Taiwan MRT System on Housing Prices |
title_full_unstemmed |
The Impact of Taiwan MRT System on Housing Prices |
title_sort |
impact of taiwan mrt system on housing prices |
publishDate |
2018 |
url |
http://ndltd.ncl.edu.tw/handle/x2tc5c |
work_keys_str_mv |
AT shihjuifan theimpactoftaiwanmrtsystemonhousingprices AT shíruìfán theimpactoftaiwanmrtsystemonhousingprices AT shihjuifan táiwānjiéyùnxìtǒngduìfángjiàdeyǐngxiǎng AT shíruìfán táiwānjiéyùnxìtǒngduìfángjiàdeyǐngxiǎng AT shihjuifan impactoftaiwanmrtsystemonhousingprices AT shíruìfán impactoftaiwanmrtsystemonhousingprices |
_version_ |
1719161926173327360 |