Multi-criteria expert based analysis for ranking the urban gentrification drivers in developing countires
More than 40 years have passed since the term “gentrification” was coined by Ruth Glass (Torrens & Nara, 2007). Originating from Britain, gentrification has become popular concept in developed countries and much research has been conducted in the US, Europe, Canada and Australia since the 197...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2008
|
| Subjects: | |
| Online Access: | http://eprints.usm.my/34862/1/HBP12.pdf http://eprints.usm.my/34862/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | More than 40 years have passed since the term “gentrification” was coined by Ruth Glass
(Torrens & Nara, 2007). Originating from Britain, gentrification has become popular concept in
developed countries and much research has been conducted in the US, Europe, Canada and
Australia since the 1970s on gentrification of the inner cities (Bounds & Mourris, 2008; Hamnett,
1991). Research was also conducted in some premier cities of developing world such as
Mexico, Istanbul, Ankara and Seoul (Ha, 2004; Ergun, 2004; Guzey, 2006; Jones & Varley,
1999). Most of the gentrification researchers come to the point that appearance of the already
formulated origins of gentrification are time and place-specific (Guzey, 2006), as this urban
phenomenon through an evolutionary process found different aspects and drivers. The reason is
that through its evolution from late 1950s different preconditions have brought different logics
and outcomes in different geographies. Thus it is worth to threat gentrification as a complex
phenomenon by sophisticated tools to examine the ideas and hypotheses behind it. In this
research it is intended to use the analytical network process (ANP) integrated with GIS to figure
out the gentrification drivers in Kuala Lumpur inner city and rank them according to their
influence. This would provide a decision support system as tool par excellence for exploring the
expert idea based on time and place. Besides, the methodology will foster the future works on
modeling and simulating the behaviors of gentrification in developing countries that have not
been applied hitherto. |
|---|