Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/35877
Title: Simulating land use change in urban renewal areas : a case study in Hong Kong
Authors: Zheng, HW
Shen, GQ 
Wang, H
Hong, JK
Keywords: Urban renewal
Land use change
Markov chain
CLUE-S
Issue Date: 2015
Publisher: Pergamon Press
Source: Habitat international, 2015, v. 46, p. 23-34 How to cite?
Journal: Habitat international 
Abstract: A considerable amount of research has been conducted on land use change, as it is extremely helpful when it comes to decision-making and policy formulation. Although land use change in urban renewal areas differs from that in new towns, very little research has focused on urban renewal and even less at the local or district level where most decisions need to be made. This study therefore developed a model for simulating land use change in urban renewal districts by combining the conversion of land use and its effects at small regional extent (CLUE-S) model and the Markov chain prediction model. The Yau Tsim Mong district of Kowloon in Hong Kong was the study area for the simulation, and historical land utilization data from 2000 to 2009 was used to validate the proposed model. By applying the validated model, four future land use scenarios were simulated for 2018 (the baseline scenario, the open space scenario, the residential scenario and the balanced scenario). The results not only indicate the effectiveness of the proposed model but also provide alternatives for future urban renewal based on different policy directions taken in the land use planning process.
URI: http://hdl.handle.net/10397/35877
ISSN: 0197-3975
DOI: 10.1016/j.habitatint.2014.10.008
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

16
Last Week
0
Last month
Citations as of Feb 19, 2017

WEB OF SCIENCETM
Citations

14
Last Week
0
Last month
Citations as of Feb 21, 2017

Page view(s)

18
Last Week
2
Last month
Checked on Feb 26, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.