Spatial effects of accessibility to parks on housing prices in Shenzhen, China

Chao Wu, Xinyue Ye, Qingyun Du, Ping Luo

Research output: Contribution to journalArticlepeer-review

69 Scopus citations

Abstract

Accessibility to parks could be an important determinant of housing prices. This article applies the gravity model to calculate accessibility based on park classification in Shenzhen, China. Unlike most traditional studies that use the ratio method and nearest distance (including straight-line distance and network distance) to measure accessibility to given facilities, in this study, we use gravity-based accessibility by park type. Then, we explore the relationships between accessibility to parks and housing prices using a hedonic price model. In addition, we apply a geographical detector method to assess the association between housing price and related factors. The results indicate the following conclusions: (1) compared to traditional methods, the gravity model provides a more effective and objective measure of accessibility to parks because it considers distance decay effects, supply, and demand; (2) it is necessary and important to investigate the effects of the accessibility to different park types on housing prices; and (3) geographical detector models can efficiently detect correlations and interactions among housing prices and related factors.

Original languageEnglish (US)
Pages (from-to)45-54
Number of pages10
JournalHabitat International
Volume63
DOIs
StatePublished - May 1 2017
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Urban Studies

Keywords

  • Geographical detector
  • Gravity model
  • Hedonic price model
  • Housing price
  • Park accessibility
  • Shenzhen

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