Modelling of optimal place for living in United Arab Emirates using geographical information system

United Arab Emirate (UAE), in particular City of Abu Dhabi, is fast developing not only physically, economically and socially but also in other aspects of health, science and technology. Newly built skyscrapers, commercial/shopping centers, sport centers, modern housing and recreational centers are...

Full description

Saved in:

Bibliographic Details
Main Author:	Sultan Al Khaili, Saeed Mohammed
Format:	Thesis
Language:	English
Published:	2013
Subjects:	G70.212-70.215 Geographic information system
Online Access:	http://eprints.utm.my/id/eprint/33810/5/SaeedMohammedSultanPFGHT2013.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-utm-ep.33810
record_format	uketd_dc
spelling	my-utm-ep.338102017-07-23T06:17:46Z Modelling of optimal place for living in United Arab Emirates using geographical information system 2013-03 Sultan Al Khaili, Saeed Mohammed G70.212-70.215 Geographic information system United Arab Emirate (UAE), in particular City of Abu Dhabi, is fast developing not only physically, economically and socially but also in other aspects of health, science and technology. Newly built skyscrapers, commercial/shopping centers, sport centers, modern housing and recreational centers are parts of the City‘s physical development. Despite this development there is a problem in selecting suitable places for renting a space for housing. Many factors could be considered in obtaining the optimal rental spaces since it is subjected to specific individual criteria and priorities. In this study, Geographical Information System (GIS) is used together with Decision Support System (DSS) and Analytical Hierarchy Process (AHP) to provide the user in the city with ability to view and select various form of rental spaces such as apartments or villas based on a set of criteria. First objective of this study is to define the spatial preferences in optimally selecting suitable space for rental based on literature review. Secondly is to determine spatial preferences for space rental selection through questionnaires survey. Final objective is to produce a Housing Preferences Model (HPM) using AHP and consequently to create spatial preference for rental space selection by using GIS. Results from this study could be used by potential tenant and housing consultant to locate initial suitable rental space while real estate agent and broker would be able to utilize it in selling, managing and promoting the properties. This study is also focusing on modelling GIS-DSS based on Points of Interest (POI) analysis for improving current housing selection practice, enhancing accuracy of housing selection and reducing searching cost. Results show that areas with higher POI attract more potential tenants and more houses are available for rental. Feedbacks from the questionnaires revealed that apartments are more preferable by tenants due to shorter distance to POI. Abu Dhabi inner city zone possess highest value of POI with higher spatial preferences for space rental compared to other zones. The results also depict that local residence prefer closer POI with minimum distance. Similar attitude is being observed amongst expatriate or foreigners in Abu Dhabi where closer to POI and amenities are always preferred in choosing space for rental. 2013-03 Thesis http://eprints.utm.my/id/eprint/33810/ http://eprints.utm.my/id/eprint/33810/5/SaeedMohammedSultanPFGHT2013.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:69545?site_name=Restricted Repository phd doctoral Universiti Teknologi Malaysia, Faculty of Geoinformation and Real Estate Faculty of Geoinformation and Real Estate
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	G70.212-70.215 Geographic information system
spellingShingle	G70.212-70.215 Geographic information system Sultan Al Khaili, Saeed Mohammed Modelling of optimal place for living in United Arab Emirates using geographical information system
description	United Arab Emirate (UAE), in particular City of Abu Dhabi, is fast developing not only physically, economically and socially but also in other aspects of health, science and technology. Newly built skyscrapers, commercial/shopping centers, sport centers, modern housing and recreational centers are parts of the City‘s physical development. Despite this development there is a problem in selecting suitable places for renting a space for housing. Many factors could be considered in obtaining the optimal rental spaces since it is subjected to specific individual criteria and priorities. In this study, Geographical Information System (GIS) is used together with Decision Support System (DSS) and Analytical Hierarchy Process (AHP) to provide the user in the city with ability to view and select various form of rental spaces such as apartments or villas based on a set of criteria. First objective of this study is to define the spatial preferences in optimally selecting suitable space for rental based on literature review. Secondly is to determine spatial preferences for space rental selection through questionnaires survey. Final objective is to produce a Housing Preferences Model (HPM) using AHP and consequently to create spatial preference for rental space selection by using GIS. Results from this study could be used by potential tenant and housing consultant to locate initial suitable rental space while real estate agent and broker would be able to utilize it in selling, managing and promoting the properties. This study is also focusing on modelling GIS-DSS based on Points of Interest (POI) analysis for improving current housing selection practice, enhancing accuracy of housing selection and reducing searching cost. Results show that areas with higher POI attract more potential tenants and more houses are available for rental. Feedbacks from the questionnaires revealed that apartments are more preferable by tenants due to shorter distance to POI. Abu Dhabi inner city zone possess highest value of POI with higher spatial preferences for space rental compared to other zones. The results also depict that local residence prefer closer POI with minimum distance. Similar attitude is being observed amongst expatriate or foreigners in Abu Dhabi where closer to POI and amenities are always preferred in choosing space for rental.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Sultan Al Khaili, Saeed Mohammed
author_facet	Sultan Al Khaili, Saeed Mohammed
author_sort	Sultan Al Khaili, Saeed Mohammed
title	Modelling of optimal place for living in United Arab Emirates using geographical information system
title_short	Modelling of optimal place for living in United Arab Emirates using geographical information system
title_full	Modelling of optimal place for living in United Arab Emirates using geographical information system
title_fullStr	Modelling of optimal place for living in United Arab Emirates using geographical information system
title_full_unstemmed	Modelling of optimal place for living in United Arab Emirates using geographical information system
title_sort	modelling of optimal place for living in united arab emirates using geographical information system
granting_institution	Universiti Teknologi Malaysia, Faculty of Geoinformation and Real Estate
granting_department	Faculty of Geoinformation and Real Estate
publishDate	2013
url	http://eprints.utm.my/id/eprint/33810/5/SaeedMohammedSultanPFGHT2013.pdf
_version_	1747816190683643904

Modelling of optimal place for living in United Arab Emirates using geographical information system

Similar Items