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題名 桃園市公共自行車場站對鄰近住宅價格之影響
The Impact of Public Bike Station on Residential Housing Values Nearby in Taoyuan City
作者 林子蕙
Lin, Tzu-Hui
貢獻者 江穎慧
JIANG, YING-HUI
林子蕙
Lin, Tzu-Hui
關鍵詞 住宅價格
公共自行車系統
空間計量
Spline 迴歸
Housing price
Public bike system
Spatial econometrics
Spline regression
日期 2022
上傳時間 1-Mar-2022 17:46:24 (UTC+8)
摘要 近年來台灣公共自行車系統已趨向穩定,除了最早設立公共自行車系統的台北市及新北市兩大行政區外,桃園市公共自行車的發展更是日漸純熟,目前桃園市已建置 387 個站點,累積 5000 萬以上使用人次,公共自行車作為轉乘以及通勤的交通運具,不僅能帶動周邊商圈繁榮,尚具有休憩觀光等功能。過去文獻中多支持公共自行車對於周邊住宅價格存在價格溢價及資本化的影響,本文試圖釐清公共自行車系統對周邊住宅價格的影響為何。
本研究選取 2017 年至 2020 年不動產實價登錄交易資料作為研究對象,並運用公共自行車系統共 337 個站點之座標資料,運用特徵價格理論與迴歸模型進行公共自行車場站設站後對於周圍住宅價格之影響。本文統計說明桃園市公共自行車設站多設立於公園及公共場所附近,實證結果顯示公共自行車場站設立對於住宅價格有正向的影響,不同住宅類型影響公共自行車場站設站距離不同,對於鄰近的住宅價格有明顯的提升。
In recent years, Taiwan`s public bike system has become more stable. Apart from the two administrative districts of Taipei City and New Taipei City, which were the first to establish public bicycle systems, the development of public bikes in Taoyuan City is becoming more and more proficient. At present, Taoyuan City has built 387 stations, of bike sharing system in Taipei with over 50 million citizens that have used it.Sharing bike not only does it expand the service area of mass rapid transit system, but also promotes the development of locations or shopping areas near bike stations. In the past, many reports supported the impact of public bikes on the price of surrounding housing prices and capitalization. Therefore, this paper attempts to clarify the impact of bike sharing system on housing prices.
The real estate sales information in Taoyuan City from 2017 to 2020 along with 337 locations of bike stations is adapted in this study. Through the use of hedonic price theory and regression model to conduct a public bike station. The statistics show that Taoyuan City’s bike stations are mostly located near parks and public places. The empirical results show that the establishment of public bike stations has a positive impact on housing prices. Different residential types affect the distance between public bike stations, residential prices have risen significantly.
參考文獻 參考文獻
中文參考文獻：
江穎慧、莊喻婷、張金鶚，2017，「臺北市公共自行車場站對鄰近住宅價格之影響」，『運輸計畫季刊』，第 46 卷，第 4 期，399~428 頁。
朱健銘，2000，「土地利用空間型態之研究」，台灣大學地理學研究所碩士論文：臺北市。
李春長、梁志民、林豐文，2017，「捷運系統對鄰近住宅價格之影響 以差異中之差異法估計」，『台灣土地研究期刊』，第 20 卷，第 2 期，31~58 頁。
李泓見、張金鶚、花敬群，2006，「台北都會區不同住宅類型價差之研究」，台灣土地研究，9(1)，63-87。
林祖嘉、馬毓駿，2007，「特徵方程式大量估價法在臺灣不動產市場之應用」，住宅學報，16(2)，1-22。
林楨家、馮正民、黃麟淇，2005，「台灣高速鐵路系統對於地方發展之影響預測」，『運輸計劃季刊』，34(3): 391-412。
胡志平，2010，「台灣高鐵通車營運對住宅價格之衝擊影響分析－以新竹車站為例」，『建築與規劃學報』，第 11 卷，第 2 期，77~88 頁。
紀侑廷，2014，「科技園區周邊住宅房價影響因素之研究-以新竹科學園區為例」，國立中山大學學位論文。
許侶馨，1989，「捷運系統對沿線地區地價影響之研究」，交通大學運輸研究所碩士論文。
莊喻婷，2016，「臺北市公共自行車場站對鄰近住宅價格之影響」，國立政治大學地政學系碩士論文。
陳奕真，2018，「高速鐵路對於住宅價格之影響分析—臺灣實證研究」，國立政治大學地政學系碩士論文。
張金鶚、楊宗憲、洪御仁，2008，「中古屋及預售屋房價指數之建立、評估與整合－台北市之實證分析」，『住宅學報』，第 17 卷第 2 期，13~34 頁。
張怡文、江穎慧、張金鶚，2009，「分量迴歸在大量估價模型之應用--非典型住宅估價之改進」，『都市與計劃期刊』，36(3)，281-304。
洪得洋、林祖嘉，1999，「台北市捷運系統與道路寬度對房屋價格影響之研究」，『住宅學報』，第 8 期，47~67 頁。
彭建文、楊宗憲、楊詩韻，2009，「捷運系統對不同區位房價影響分析─以營運階段為例」，『運輸計畫季刊』，第 38 卷，第 3 期，275~296頁。
鄒克萬、鄭皓騰、郭幸福、楊宗名，2013，「應用空間特徵價格模型評估高速鐵路對土地價格影響之時空特性－以臺灣高鐵為例」，『建築與規劃學報』，第14 卷，第一期，47~66 頁。
馮正民、曾平毅、王冠斐，1994，「捷運系統對車站地區房價之影響」，『都市與計劃期刊』，第二十一卷第一期， 25-45 頁。
楊宗憲，1995，住宅價格指數之研究，國立政治大學地政學系碩士論文。
臺北市交通局交通統計查詢系統，2020, http://dotstat.taipei.gov.tw/。
廖四郎和陳靜宜，2013，「高速鐵路的時空效應對房屋價格的影響—以高雄為例」，『住宅學報』，第 22 卷，第 1 期，25~54 頁。
賴櫻芳，2019，高速鐵路車站對住宅價格影響，國立臺灣大學建築與城鄉研究所學位論文。
戴國正，2012，大眾捷運系統對房價影響效果之再檢視，國立政治大學地政學系碩士論文。

外文參考文獻：
Bin, G., Haijun, B., & Ying, L. (2015). “A study of the effect of a high-speed rail station on spatial variations in housing price based on the hedonic model”, Habitat International, Volume 49, pp.333-339.
Chad, C. Mary, E.G. (1998). “Railroad Development and Land Value”, Journal of Real Estate Finance and Economics, 16(2), pp.191-204.
Cliff, A. D. & Ord, J. K. (1982). Spatial Processes. Models and Applications. Paris, France: Institut National d`Etudes Démographiques.
Dziauddin, M. F. (2019), An Investigation of Condominium Property Value Uplift around Light Rail Transit Stations Using a Hedonic Pricing Model, Earth and environmental science, Volume 286, pp.1-12.
Fotheringham, A. S., Brunsdon, C., & Chaelton, M. (2003). Geographically Weighted Regression: Oxford, United Kingdom: Geographical Analysis.
Haizhen, W., Zaiyuan, G., Chuanhao, T., Yue X., & Li, F. (2018). “Subway Opening, Traffic Accessibility, and Housing Prices: A Quantile Hedonic Analysis in Hangzhou”, China, Sustainability, 10, 2254, pp.1-23.
Houthakker, H. S. (1952), The Review of Economic Studies. Oxford, United Kingdom: Oxford University Press.
Hui, S., Yuning, W., & Qingbo L. (2016). “The Impact of Subway Lines on Residential Property Values in Tianjin: An Empirical Study Based on Hedonic Pricing Model”, Discrete Dynamics in Nature and Society, Volume 2016, pp.164-173.
Jinghong, L. (2019). Will Dockless Bike Sharing System Alter the Subway Price Premium in Rental Market? Evidence from Beijing, MIT, Department of Urban Studies and Planning, MA.
Junhong, C., Yige, D., Xianling, Y., & Li, W. (2020). “The Last Mile Matters: Impact of Dockless Bike Sharing on Subway Housing Price Premium”, Management Science Articles in Advance, pp.1-20.
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Midgley, P. (2011). Bicycle-sharing Schemes: Enhancing Sustainable Mobility in Urban Areas. New York, America: UN Department of Economic and Social Affairs.
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Speyrer, J. F. & Ragas, W. R. (1911). “Housing Prices and Flood Risk: An Examination Using Spline Regression”, Journal of Real Estate Finance and Economics, Volume 4, pp.395-407.
Stacy, G. S., David, A. M. & Emily, N. Z. (2005). “The Composition of Hedonic Pricing Models”, Journal of Real Estate Literature, Volume 13, Iss. 1, pp.3-43.
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描述 碩士
國立政治大學
地政學系
108257001
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0108257001
資料類型 thesis
dc.contributor.advisor 江穎慧zh_TW
dc.contributor.advisor JIANG, YING-HUIen_US
dc.contributor.author (Authors) 林子蕙zh_TW
dc.contributor.author (Authors) Lin, Tzu-Huien_US
dc.creator (作者) 林子蕙zh_TW
dc.creator (作者) Lin, Tzu-Huien_US
dc.date (日期) 2022en_US
dc.date.accessioned 1-Mar-2022 17:46:24 (UTC+8)-
dc.date.available 1-Mar-2022 17:46:24 (UTC+8)-
dc.date.issued (上傳時間) 1-Mar-2022 17:46:24 (UTC+8)-
dc.identifier (Other Identifiers) G0108257001en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/139258-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 地政學系zh_TW
dc.description (描述) 108257001zh_TW
dc.description.abstract (摘要) 近年來台灣公共自行車系統已趨向穩定,除了最早設立公共自行車系統的台北市及新北市兩大行政區外,桃園市公共自行車的發展更是日漸純熟,目前桃園市已建置 387 個站點,累積 5000 萬以上使用人次,公共自行車作為轉乘以及通勤的交通運具,不僅能帶動周邊商圈繁榮,尚具有休憩觀光等功能。過去文獻中多支持公共自行車對於周邊住宅價格存在價格溢價及資本化的影響,本文試圖釐清公共自行車系統對周邊住宅價格的影響為何。
本研究選取 2017 年至 2020 年不動產實價登錄交易資料作為研究對象,並運用公共自行車系統共 337 個站點之座標資料,運用特徵價格理論與迴歸模型進行公共自行車場站設站後對於周圍住宅價格之影響。本文統計說明桃園市公共自行車設站多設立於公園及公共場所附近,實證結果顯示公共自行車場站設立對於住宅價格有正向的影響,不同住宅類型影響公共自行車場站設站距離不同,對於鄰近的住宅價格有明顯的提升。		zh_TW
dc.description.abstract (摘要) In recent years, Taiwan`s public bike system has become more stable. Apart from the two administrative districts of Taipei City and New Taipei City, which were the first to establish public bicycle systems, the development of public bikes in Taoyuan City is becoming more and more proficient. At present, Taoyuan City has built 387 stations, of bike sharing system in Taipei with over 50 million citizens that have used it.Sharing bike not only does it expand the service area of mass rapid transit system, but also promotes the development of locations or shopping areas near bike stations. In the past, many reports supported the impact of public bikes on the price of surrounding housing prices and capitalization. Therefore, this paper attempts to clarify the impact of bike sharing system on housing prices.
The real estate sales information in Taoyuan City from 2017 to 2020 along with 337 locations of bike stations is adapted in this study. Through the use of hedonic price theory and regression model to conduct a public bike station. The statistics show that Taoyuan City’s bike stations are mostly located near parks and public places. The empirical results show that the establishment of public bike stations has a positive impact on housing prices. Different residential types affect the distance between public bike stations, residential prices have risen significantly.		en_US
dc.description.tableofcontents 第一章 緒論 2
第一節 研究動機與目的 2
第二節 研究內容與方法 6
第三節 研究架構及流程 7
第二章 相關文獻與理論 10
第一節 大眾運輸對房價之影響 10
第二節 影響房價之因素 14
第三節 實證模型理論相關研究 16
第三章 研究設計與資料說明 20
第一節 研究設計 20
第二節 資料說明與處理 21
第三節 實證模型 30
第四章 實證結果分析 38
第一節 公共自行車場站影響之距離 38
第二節 Spline 迴歸分析 40
第二節 空間迴歸分析 43
第五章 結論與建議 47
第一節 結論 47
第二節 後續發展及建議 48
參考文獻 50		zh_TW
dc.format.extent 1578576 bytes-
dc.format.mimetype application/pdf-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0108257001en_US
dc.subject (關鍵詞) 住宅價格zh_TW
dc.subject (關鍵詞) 公共自行車系統zh_TW
dc.subject (關鍵詞) 空間計量zh_TW
dc.subject (關鍵詞) Spline 迴歸zh_TW
dc.subject (關鍵詞) Housing priceen_US
dc.subject (關鍵詞) Public bike systemen_US
dc.subject (關鍵詞) Spatial econometricsen_US
dc.subject (關鍵詞) Spline regressionen_US
dc.title (題名) 桃園市公共自行車場站對鄰近住宅價格之影響zh_TW
dc.title (題名) The Impact of Public Bike Station on Residential Housing Values Nearby in Taoyuan Cityen_US
dc.type (資料類型) thesisen_US
dc.relation.reference (參考文獻) 參考文獻
中文參考文獻：
江穎慧、莊喻婷、張金鶚，2017，「臺北市公共自行車場站對鄰近住宅價格之影響」，『運輸計畫季刊』，第 46 卷，第 4 期，399~428 頁。
朱健銘，2000，「土地利用空間型態之研究」，台灣大學地理學研究所碩士論文：臺北市。
李春長、梁志民、林豐文，2017，「捷運系統對鄰近住宅價格之影響 以差異中之差異法估計」，『台灣土地研究期刊』，第 20 卷，第 2 期，31~58 頁。
李泓見、張金鶚、花敬群，2006，「台北都會區不同住宅類型價差之研究」，台灣土地研究，9(1)，63-87。
林祖嘉、馬毓駿，2007，「特徵方程式大量估價法在臺灣不動產市場之應用」，住宅學報，16(2)，1-22。
林楨家、馮正民、黃麟淇，2005，「台灣高速鐵路系統對於地方發展之影響預測」，『運輸計劃季刊』，34(3): 391-412。
胡志平，2010，「台灣高鐵通車營運對住宅價格之衝擊影響分析－以新竹車站為例」，『建築與規劃學報』，第 11 卷，第 2 期，77~88 頁。
紀侑廷，2014，「科技園區周邊住宅房價影響因素之研究-以新竹科學園區為例」，國立中山大學學位論文。
許侶馨，1989，「捷運系統對沿線地區地價影響之研究」，交通大學運輸研究所碩士論文。
莊喻婷，2016，「臺北市公共自行車場站對鄰近住宅價格之影響」，國立政治大學地政學系碩士論文。
陳奕真，2018，「高速鐵路對於住宅價格之影響分析—臺灣實證研究」，國立政治大學地政學系碩士論文。
張金鶚、楊宗憲、洪御仁，2008，「中古屋及預售屋房價指數之建立、評估與整合－台北市之實證分析」，『住宅學報』，第 17 卷第 2 期，13~34 頁。
張怡文、江穎慧、張金鶚，2009，「分量迴歸在大量估價模型之應用--非典型住宅估價之改進」，『都市與計劃期刊』，36(3)，281-304。
洪得洋、林祖嘉，1999，「台北市捷運系統與道路寬度對房屋價格影響之研究」，『住宅學報』，第 8 期，47~67 頁。
彭建文、楊宗憲、楊詩韻，2009，「捷運系統對不同區位房價影響分析─以營運階段為例」，『運輸計畫季刊』，第 38 卷，第 3 期，275~296頁。
鄒克萬、鄭皓騰、郭幸福、楊宗名，2013，「應用空間特徵價格模型評估高速鐵路對土地價格影響之時空特性－以臺灣高鐵為例」，『建築與規劃學報』，第14 卷，第一期，47~66 頁。
馮正民、曾平毅、王冠斐，1994，「捷運系統對車站地區房價之影響」，『都市與計劃期刊』，第二十一卷第一期， 25-45 頁。
楊宗憲，1995，住宅價格指數之研究，國立政治大學地政學系碩士論文。
臺北市交通局交通統計查詢系統，2020, http://dotstat.taipei.gov.tw/。
廖四郎和陳靜宜，2013，「高速鐵路的時空效應對房屋價格的影響—以高雄為例」，『住宅學報』，第 22 卷，第 1 期，25~54 頁。
賴櫻芳，2019，高速鐵路車站對住宅價格影響，國立臺灣大學建築與城鄉研究所學位論文。
戴國正，2012，大眾捷運系統對房價影響效果之再檢視，國立政治大學地政學系碩士論文。

外文參考文獻：
Bin, G., Haijun, B., & Ying, L. (2015). “A study of the effect of a high-speed rail station on spatial variations in housing price based on the hedonic model”, Habitat International, Volume 49, pp.333-339.
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dc.identifier.doi (DOI) 10.6814/NCCU202200289en_US