Integrating NbS in compact city renewal: Preferences, constraints, and opportunities

Yang Chen, Yuehan Dou, Shaofen Xu, Faith Ka Shun Chan, Dan Chong, Bowen Chen, Yuhong Wang

Research output: Journal PublicationArticlepeer-review

Abstract

Compact cities, often being praised for their sustainability advantages, face significant urban challenges (UC) due to their dense configurations and the intensifying effects of climate change. This study, conducted in Hong Kong, investigates the potential of using Nature-based Solutions (NbS) to mitigate these issues through a dual methodology—integrating surveys capturing public and professional perceptions and a novel geoinformatics analysis assessing spatial opportunities. The survey engaged 233 residents and 36 experts and found that climate change ranks as a primary concern, surpassed only by housing shortages. Residents favored NbS benefits, whereas experts prioritized ecological gains like biodiversity enhancement. Both groups, however, noted potential drawbacks including risks of animal-borne diseases and nuisances. The geoinformatics analysis evaluated nine sampling areas across three regions and identified rooftop retrofitting as a key strategy for expanding NbS coverage. Vertical greening on walls and linear infrastructure also emerged as viable methods to expand NbS. With these measures, the total NbS coverage could increase from about 15–20 % to more than 30 % in the analyzed areas. By synthesizing public preferences with spatial feasibility, this study develops a comprehensive framework for NbS deployment in compact urban environments. This dual approach bridges a critical gap in conventional urban planning by ensuring solutions are both socially relevant and technically sound.

Original languageEnglish
Article number114003
JournalEcological Indicators
Volume178
DOIs
Publication statusPublished - Sept 2025

Keywords

  • Compact city
  • Geoinformatics analysis
  • Hong Kong
  • Nature-based solutions
  • Stakeholder perceptions
  • Urban renewal

ASJC Scopus subject areas

  • General Decision Sciences
  • Ecology, Evolution, Behavior and Systematics
  • Ecology

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