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Analysis of property prices before and after the opening of the Taipei subway system

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  • Jen-Jia Lin
  • Chi-Hau Hwang

Abstract

Since the development of Taipei subway system, which represented a new type of infrastructure in Taiwan, various studies have conducted with-and-without comparisons before the opening of the subway systems. However, this study compared property prices before and after the opening of the Taipei subway system. Samples along the subway red line were selected and investigated for two periods: 1993–1995 AC. (before subway opening) and 1997–1999AC. (after subway opening ). The samples were analyzed using multiple regression, Chow test, and fuzzy regression. Based on the empirical analysis, the following conclusions can be reached: First, subway opening significantly influences hedonic prices of floor space, building age, and distance from public facilities (schools or parks). Second, the influences of subway system opening on hedonic price varies significantly according to different submarkets such as subway construction , location in city, position of property relative to subway stations, land use zoning, and building type. Third, both traditional regression and Tanaka et al. (1980) fuzzy regression are useful, but generally, traditional regression is more persuasive than the other regression in analyzing hedonic prices. The analysis abilities of other fuzzy regression methods still need to be explored. Copyright Springer-Verlag 2004

Suggested Citation

  • Jen-Jia Lin & Chi-Hau Hwang, 2004. "Analysis of property prices before and after the opening of the Taipei subway system," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 38(4), pages 687-704, December.
    • Handle: RePEc:spr:anresc:v:38:y:2004:i:4:p:687-704
    DOI: 10.1007/s00168-003-0185-2
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    Cited by:

    1. Levinson, David M., 2012. "Accessibility impacts of high-speed rail," Journal of Transport Geography, Elsevier, vol. 22(C), pages 288-291.
    2. Lin, Jen-Jia & Yang, Shu-Han, 2019. "Proximity to metro stations and commercial gentrification," Transport Policy, Elsevier, vol. 77(C), pages 79-89.
    3. Siman Tang & Hong Lo, 2010. "On the financial viability of mass transit development: the case of Hong Kong," Transportation, Springer, vol. 37(2), pages 299-316, March.
    4. Dongfang Zhang & Jingjuan Jiao, 2019. "How Does Urban Rail Transit Influence Residential Property Values? Evidence from An Emerging Chinese Megacity," Sustainability, MDPI, vol. 11(2), pages 1-16, January.
    5. Marcin Torzewski, 2016. "The analysis of the impact of the Warsaw metro stations location on residential property prices in Ursynów district in Warsaw (Analiza wplywu lokalizacji stacji metra warszawskiego na ceny mieszkan na," Research Reports, University of Warsaw, Faculty of Management, vol. 1(20), pages 145-155.
    6. Laura Gabrielli & Aurora Greta Ruggeri & Massimiliano Scarpa, 2023. "“Location, Location, Location”: Fluctuations in Real Estate Market Values after COVID-19 and the War in Ukraine Based on Econometric and Spatial Analysis, Random Forest, and Multivariate Regression," Land, MDPI, vol. 12(6), pages 1-23, June.
    7. Mikula, Štěpán & Molnár, Peter, 2023. "Expected transport accessibility improvement and house prices: Evidence from the construction of an undersea road tunnel system," Journal of Transport Geography, Elsevier, vol. 111(C).
    8. Gupta, Arpit & Van Nieuwerburgh, Stijn & Kontokosta, Constantine, 2022. "Take the Q train: Value capture of public infrastructure projects," Journal of Urban Economics, Elsevier, vol. 129(C).
    9. Zhengyi Zhou & Hong Chen & Lu Han & Anming Zhang, 2021. "The Effect of a Subway on House Prices: Evidence from Shanghai," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 49(S1), pages 199-234, March.
    10. Yang Xiao & Chris Webster & Scott Orford, 2016. "Identifying house price effects of changes in urban street configuration: An empirical study in Nanjing, China," Urban Studies, Urban Studies Journal Limited, vol. 53(1), pages 112-131, January.
    11. Štěpán Mikula & Peter Molnár, 2022. "Expected Transport Accessibility Improvement and House Prices: Evidence from the Construction of the World’s Longest Undersea Road Tunnel," MUNI ECON Working Papers 2022-05, Masaryk University, revised Feb 2023.
    12. Seya, Hajime & Yoshida, Takahiro & Tsutsumi, Morito, 2016. "Ex-post identification of geographical extent of benefited area by a transportation project: Functional data analysis method," Journal of Transport Geography, Elsevier, vol. 55(C), pages 1-10.
    13. S. Cho & J. Kim & R. Roberts & S. Kim, 2012. "Neighborhood spillover effects between rezoning and housing price," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 48(1), pages 301-319, February.
    14. Kaida Chen & Hanliang Lin & Lingyun Liao & Yichen Lu & Yen-Jong Chen & Zehua Lin & Linxi Teng & Aifang Weng & Tianqi Fu, 2022. "Nonlinear Rail Accessibility and Road Spatial Pattern Effects on House Prices," Sustainability, MDPI, vol. 14(8), pages 1-24, April.
    15. Islam, Shahidul, 2007. "Neighbourhood Characteristics and Adjacent Ravines on House Prices," Annual Meeting, 2007, July 29-August 1, Portland, Oregon 10250, Canadian Agricultural Economics Society.
    16. Redfearn, Christian L., 2009. "How informative are average effects? Hedonic regression and amenity capitalization in complex urban housing markets," Regional Science and Urban Economics, Elsevier, vol. 39(3), pages 297-306, May.
    17. Yen-Jong Chen & Cheng-Kai Hsu, 2020. "Comparison of Housing Price Elasticities Resulting from Different Types of Multimodal Rail Stations in Kaohsiung, Taiwan," International Real Estate Review, Global Social Science Institute, vol. 23(3), pages 1043-1058.
    18. Yen-Jong Chen & Cheng-Kai Hsu, 2020. "Comparison of Housing Price Elasticities Resulting from Different Types of Multimodal Rail Stations in Kaohsiung, Taiwan," International Real Estate Review, Global Social Science Institute, vol. 23(3), pages 417-432.

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