A GIS model analysis on the prediction of socio economic impacts

The recent global changes in GIS technology advancement have significantly influenced the spatial development of urban areas concerning its impacts on the surroundings. This paper addresses the formation of a GIS-based technology in predicting the potential socio-economic consequences due to the dev...

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Main Authors: Asmawi, M. Zainora, Abdullah, Muhammad Faris, Abdullah, Alias, Shahbudin, Nur Azraei
Format: Conference or Workshop Item
Language:English
English
Published: Malaysia Remote Sensing Agency 2018
Subjects:
Online Access:http://irep.iium.edu.my/67897/1/67897_A%20GIS%20MODEL%20ANALYSIS%20ON%20THE%20PREDICTION.pdf
http://irep.iium.edu.my/67897/2/67897_A%20GIS%20MODEL%20ANALYSIS%20ON%20THE%20PREDICTION%20-%20slide.pdf
http://irep.iium.edu.my/67897/
https://acrs2018.mrsa.gov.my/39th-acrs-2018-proceeding/
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spelling my.iium.irep.678972018-12-06T07:53:54Z http://irep.iium.edu.my/67897/ A GIS model analysis on the prediction of socio economic impacts Asmawi, M. Zainora Abdullah, Muhammad Faris Abdullah, Alias Shahbudin, Nur Azraei G Geography (General) The recent global changes in GIS technology advancement have significantly influenced the spatial development of urban areas concerning its impacts on the surroundings. This paper addresses the formation of a GIS-based technology in predicting the potential socio-economic consequences due to the development. The approach employed was extensively based on a series of baseline data, models, spatial and statistical analysis to develop a prototype GIS system in predicting future socio-economic impacts, called Development Impact Assessment. Furthermore, this paper also uses a practical technique of ‘what if?' scenario which can assist in charting possible complicated linkages between criteria from multiple sources. The system consists of some selected vital components of the socio-economic, including car parking requirement, a projection of commercial floor space and estimated job creation. The results demonstrate the strengths and abilities of GIS to provide a spatial analysis showing the distribution of the socio-economic impacts in urban planning system that could assist the local planning authority in creating a sustainable living environment. Thus, the GIS system also carries the value of incorporating the complexity of wicked problems existed in urban planning into a technology-based device. This GIS model analysis is efficient to determine the sustainability of urban areas, taking into the consideration the challenges that we face today Malaysia Remote Sensing Agency 2018-10-15 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/67897/1/67897_A%20GIS%20MODEL%20ANALYSIS%20ON%20THE%20PREDICTION.pdf application/pdf en http://irep.iium.edu.my/67897/2/67897_A%20GIS%20MODEL%20ANALYSIS%20ON%20THE%20PREDICTION%20-%20slide.pdf Asmawi, M. Zainora and Abdullah, Muhammad Faris and Abdullah, Alias and Shahbudin, Nur Azraei (2018) A GIS model analysis on the prediction of socio economic impacts. In: 39th Asian Conference on Remote Sensing (ACRS) 2018, 15th-19th Oct. 2018, Kuala Lumpur. https://acrs2018.mrsa.gov.my/39th-acrs-2018-proceeding/ AB318
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
English
topic G Geography (General)
spellingShingle G Geography (General)
Asmawi, M. Zainora
Abdullah, Muhammad Faris
Abdullah, Alias
Shahbudin, Nur Azraei
A GIS model analysis on the prediction of socio economic impacts
description The recent global changes in GIS technology advancement have significantly influenced the spatial development of urban areas concerning its impacts on the surroundings. This paper addresses the formation of a GIS-based technology in predicting the potential socio-economic consequences due to the development. The approach employed was extensively based on a series of baseline data, models, spatial and statistical analysis to develop a prototype GIS system in predicting future socio-economic impacts, called Development Impact Assessment. Furthermore, this paper also uses a practical technique of ‘what if?' scenario which can assist in charting possible complicated linkages between criteria from multiple sources. The system consists of some selected vital components of the socio-economic, including car parking requirement, a projection of commercial floor space and estimated job creation. The results demonstrate the strengths and abilities of GIS to provide a spatial analysis showing the distribution of the socio-economic impacts in urban planning system that could assist the local planning authority in creating a sustainable living environment. Thus, the GIS system also carries the value of incorporating the complexity of wicked problems existed in urban planning into a technology-based device. This GIS model analysis is efficient to determine the sustainability of urban areas, taking into the consideration the challenges that we face today
format Conference or Workshop Item
author Asmawi, M. Zainora
Abdullah, Muhammad Faris
Abdullah, Alias
Shahbudin, Nur Azraei
author_facet Asmawi, M. Zainora
Abdullah, Muhammad Faris
Abdullah, Alias
Shahbudin, Nur Azraei
author_sort Asmawi, M. Zainora
title A GIS model analysis on the prediction of socio economic impacts
title_short A GIS model analysis on the prediction of socio economic impacts
title_full A GIS model analysis on the prediction of socio economic impacts
title_fullStr A GIS model analysis on the prediction of socio economic impacts
title_full_unstemmed A GIS model analysis on the prediction of socio economic impacts
title_sort gis model analysis on the prediction of socio economic impacts
publisher Malaysia Remote Sensing Agency
publishDate 2018
url http://irep.iium.edu.my/67897/1/67897_A%20GIS%20MODEL%20ANALYSIS%20ON%20THE%20PREDICTION.pdf
http://irep.iium.edu.my/67897/2/67897_A%20GIS%20MODEL%20ANALYSIS%20ON%20THE%20PREDICTION%20-%20slide.pdf
http://irep.iium.edu.my/67897/
https://acrs2018.mrsa.gov.my/39th-acrs-2018-proceeding/
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score 13.2014675