Evaluating equity for urban resilience in Hong Kong: integrating human-centric principle (HCP) with geospatial artificial intelligence (GeoAI)
Siwei Tang
Chengdu,Sichuan
DOI: https://doi.org/10.59429/pest.v6i4.8446
Keywords: Urban equity; Human-centric principle; Geospatial artificial intelligence; Hong Kong
Abstract
This research explores the intersection of the Human-Centric Principle (HCP) and Geospatial Artificial Intelligence (GeoAI) to evaluate the fairness of the urban environment in Hong Kong. As Hong Kong faces increasing challenges from social inequality and rapid urbanization, it is essential to develop inclusive strategies that prioritize the needs and voices of marginalized communities. This study proposes an integrated framework that leverages HCP to ensure citizen-centric approaches in the evaluation process of the urban environment while utilizing GeoAI to analyze spatial data and visualize community impacts. Through a mixed-methods approach, including case studies, data collection, and spatial analysis, this research aims to identify barriers to equity in urban resilience initiatives and propose actionable solutions. By engaging with diverse community members, the study seeks to enhance participatory design processes, ensuring that the benefits of resilience efforts are equitably distributed. The findings will contribute to a deeper understanding of how HCP and GeoAI can work synergistically to assess urban environments of Hong Kong, contributing to fostering not only a resilient but also an equitable city.
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