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A decision-making framework for sustainable land use in Hong Kong's urban renewal projects

Author(s):


Medium: journal article
Language(s): English
Published in: Smart and Sustainable Built Environment, , n. 1, v. 3
Page(s): 35-53
DOI: 10.1108/sasbe-09-2013-0047
Abstract:

Purpose

Urban renewal projects provide an effective channel for adjusting land-use allocation and improving land-use efficiency, which effectively increases land supply. The purpose of this paper is to support the decision-making process of sustainable land use in urban renewal projects. A GIS-based framework, consisting of a planning support model and a land information database, has been developed in a typical high-density city – Hong Kong.

Design/methodology/approach

A qualitative and quantitative combined methodology is designed for this research. Several research methods such as expert interviews, focus group meetings, and case studies and technical approaches such as GIS, MCA, and AHP are adopted in this research.

Findings

General and sustainability criteria for land-use decision making in urban renewal along with associated data are identified, and an integrated approach to quantitatively assessing land-use suitability is developed.

Research limitations/implications

The framework was developed in a loosely coupled form rather than a software package installed on a computer, and the development of the land information database was a time-consuming process as a large amount of data were collected, processed, and analyzed.

Originality/value

Application of the proposed framework is reported by showing analyzed results of land-use suitability. The framework proves a useful tool for both practitioners and researchers involved in sustainable land use for urban renewal.

Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1108/sasbe-09-2013-0047.
  • About this
    data sheet
  • Reference-ID
    10779999
  • Published on:
    12/05/2024
  • Last updated on:
    12/05/2024
 
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