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Research of Housing Price Based on Bid-Rent Theory

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Proceedings of the 21st International Symposium on Advancement of Construction Management and Real Estate

Abstract

Using Bid-rent theory, this research studied how housing price changes with the change of its distance to city center in Kenli County, Shandong Province. We gathered housing price data from a housing trading platform, distance data from a map software. After the basic data processing, we established a regression model to show the relationship between housing price and the distance, which can help real estate development companies determine the investment strategy, and help citizens choose houses at a suitable price. In the end, the paper points out the further research plan.

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References

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Author information

Authors and Affiliations

  1. Real Estate Institute of Xi’an Jiaotong University, Xi’an, China

    Donglang Yang, Zhongfei Cui & Luyao Zhao

Authors
  1. Donglang Yang
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  2. Zhongfei Cui
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  3. Luyao Zhao
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Corresponding author

Correspondence to Donglang Yang .

Editor information

Editors and Affiliations

  1. Department of Real Estate and Construction, The University of Hong Kong, Hong Kong, Hong Kong

    K. W. Chau

  2. Department of Real Estate and Construction, The University of Hong Kong, Hong Kong, Hong Kong

    Isabelle Y.S. Chan

  3. Department of Real Estate and Construction, The University of Hong Kong, Hong Kong, Hong Kong

    Weisheng Lu

  4. Faculty of Architecture, The University of Hong Kong, Hong Kong, Hong Kong

    Chris Webster

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© 2018 Springer Nature Singapore Pte Ltd.

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Yang, D., Cui, Z., Zhao, L. (2018). Research of Housing Price Based on Bid-Rent Theory. In: Chau, K., Chan, I., Lu, W., Webster, C. (eds) Proceedings of the 21st International Symposium on Advancement of Construction Management and Real Estate. Springer, Singapore. https://doi.org/10.1007/978-981-10-6190-5_103

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