Spatial disparities in urban park accessibility: Integrating real-time traffic data and housing prices in Ningbo, China

Hengcai Chen, Zihao Yun, Linjun Xie, Ayotunde Dawodu

Research output: Journal PublicationArticlepeer-review

2 Citations (Scopus)

Abstract

The urban park accessibility is a vital measure of urban livability, indicating either the presence or absence of environmental equity. This study introduces a novel approach by integrating real-time navigation data with traditional accessibility assessments to examine the spatial distribution of parks in Ningbo, China. It evaluates service provision across different transportation modes and park tiers, revealing significant spatial disparities in accessibility. Particularly, it highlights a pronounced polarization, with some city core areas experiencing limited access. Additionally, this research establishes a clear correlation between housing prices and park accessibility, illustrating how urban greenery can influence real estate values. The findings underscore the need for policy interventions to promote equitable access to urban parks and to address potential green gentrification risks. The methodology proposed here offers valuable insights for urban planners and policymakers in scientifically assessing public resource accessibility and planning more equitable urban environments.
Original languageEnglish
Pages (from-to)128484
JournalUrban Forestry and Urban Greening
Volume100
DOIs
Publication statusPublished - Oct 2024

Keywords

  • Big data analytics
  • Green gentrification
  • Housing prices
  • Two-Step Floating Catchment Area (2SFCA) Method
  • Urban park accessibility

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