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Lie symmetry analysis of the effects of urban infrastructures on residential property values

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Listed:
  • Chien-Wen Lin
  • Jen-Cheng Wang
  • Bo-Yan Zhong
  • Joe-Air Jiang
  • Ya-Fen Wu
  • Shao-Wei Leu
  • Tzer-En Nee

Abstract

Due to the complexity of socio-economic-related issues, people thought of housing market as a chaotic nucleus situated at the intersection of neighboring sciences. It has been known that the dependence of house features on the residential property value can be estimated employing the well-established hedonic regression analysis method in teams of location characteristic, neighborhood characteristic and structure characteristic. However, to further assess the roles of urban infrastructures in housing markets, we proposed a new kind of volatility measure for house prices utilizing the Lie symmetry analysis of quantum theory based on Schrödinger equation, mainly focusing on the effects of transportation systems and public parks on residential property values. Based on the municipal open government data regularly collected for four cities, including Boston, Milwaukee, Taipei and Tokyo, and all spatial sampling sites were featured by United States Geological Survey (USGS) National Map, transportation and park were modelled as perturbations to the quantum states generated by the feature space in response to the environmental amenities with different spatial extents. In an attempt to ascertain the intrinsic impact of the location-dependent price information obtained, the similarity functions associated with the Schrödinger equation were considered to facilitate revealing the city amenities capitalizing into house prices. By examining the spatial spillover phenomena of house prices in the four cities investigated, it was found that the mass transit systems and the public green lands possessed the infinitesimal generators of Lie point symmetries Y2 and Y5, respectively. Compared statistically with the common performance criteria, including mean absolute error (MAE), mean squared error (MSE) and, root mean squared error (RMSE) obtained by hedonic pricing model, the Lie symmetry analysis of the Schrödinger equation approach developed herein was successfully carried out. The invariant-theoretical characterizations of economics-related phenomena are consonant with the observed residential property values of the cities internationally, ultimately leading to develop a new perspective in the global financial architecture.

Suggested Citation

  • Chien-Wen Lin & Jen-Cheng Wang & Bo-Yan Zhong & Joe-Air Jiang & Ya-Fen Wu & Shao-Wei Leu & Tzer-En Nee, 2021. "Lie symmetry analysis of the effects of urban infrastructures on residential property values," PLOS ONE, Public Library of Science, vol. 16(8), pages 1-15, August.
    • Handle: RePEc:plo:pone00:0255233
    DOI: 10.1371/journal.pone.0255233
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    References listed on IDEAS

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    1. Marco Helbich & Wolfgang Brunauer & Eric Vaz & Peter Nijkamp, 2014. "Spatial Heterogeneity in Hedonic House Price Models: The Case of Austria," Urban Studies, Urban Studies Journal Limited, vol. 51(2), pages 390-411, February.
    2. Limsombunchai, Visit, 2004. "House Price Prediction: Hedonic Price Model vs. Artificial Neural Network," 2004 Conference, June 25-26, 2004, Blenheim, New Zealand 97781, New Zealand Agricultural and Resource Economics Society.
    3. John Okunev & Patrick J. Wilson, 1997. "Using Nonlinear Tests to Examine Integration Between Real Estate and Stock Markets," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 25(3), pages 487-503, September.
    4. Mayor, Karen & Lyons, Seán & Duffy, David & Tol, Richard S. J., 2009. "A Hedonic Analysis of the Value of Parks and Green Spaces in the Dublin Area," Papers WP331, Economic and Social Research Institute (ESRI).
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