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Exploring the Impact of the Publicness of Public Space in Hong Kong: A Structural Equation Modelling Approach

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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Abstract

Public spaces are spaces that are open to the public, and their publicness denotes the degree to which the space is inclusive, accessible, and representative of collective interests, fostering diverse activities, and ultimately enhancing social cohesion and urban vitality. While existing studies have focused on interpreting and assessing the concept of publicness, few explore its specific impact within public spaces. This study aims to identify the impact of the publicness of public space and develop an assessment model. Based on a literature review, five publicness impacts are proposed: effectiveness, fairness, sense of ease, meaningfulness, and friendliness. Two rounds of questionnaire surveys were conducted on public space users in Hong Kong, with a total of 305 responses received. The collected data were used to test and validate the model through exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and structural equation modelling (SEM). The developed model offers a robust tool for determining whether a space is public. The findings show correlations among the five impacts of publicness, except between fairness and meaningfulness, which may imply that, in the Hong Kong public space, fairness is a functional or procedural requirement rather than a deep emotional or spiritual connection with the space. © 2025 by the authors.
Original languageEnglish
Article number91
JournalLand
Volume14
Issue number1
Online published5 Jan 2025
DOIs
Publication statusPublished - Jan 2025

Funding

This research was funded by the University Grants Committee (funding no. 9043535).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Research Keywords

  • publicness
  • public space
  • assessment model
  • SEM
  • high-density city

Publisher's Copyright Statement

  • This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/

RGC Funding Information

  • RGC-funded

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