GIS-based sustainable city compactness assessment using integration of MCDM, Bayes theorem and RADAR technology

In recent decades, compact urban development and smart cities are recognised as most sustainable urban form in an effort to protect natural environment. Therefore, evaluation of existing compactness and sustainability of an area is an essential task before the real development takes place. In the li...

Full description

Saved in:
Bibliographic Details
Main Authors: Abdullahi, Saleh, Pradhan, Biswajeet, Jebur, Mustafa Neamah
Format: Article
Language:English
Published: Taylor & Francis 2015
Online Access:http://psasir.upm.edu.my/id/eprint/37779/1/37779.pdf
http://psasir.upm.edu.my/id/eprint/37779/
http://www.tandfonline.com/doi/abs/10.1080/10106049.2014.911967
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.upm.eprints.37779
record_format eprints
spelling my.upm.eprints.377792016-04-22T02:43:54Z http://psasir.upm.edu.my/id/eprint/37779/ GIS-based sustainable city compactness assessment using integration of MCDM, Bayes theorem and RADAR technology Abdullahi, Saleh Pradhan, Biswajeet Jebur, Mustafa Neamah In recent decades, compact urban development and smart cities are recognised as most sustainable urban form in an effort to protect natural environment. Therefore, evaluation of existing compactness and sustainability of an area is an essential task before the real development takes place. In the literature, it is possible to see some studies on city’s compactness assessment and most of them have considered only a few aspects of compact development analysis. This paper aims to analyse urban sustainability of Kajang city (Malaysia) through a comprehensive city compactness assessment using geographical information system and radar remote sensing technology. To measure building density, a RADAR image of the study area was used to extract built-up areas with the aid of pixel-based and object-based classification schemes. Mixed land use development, urban density and intensity were the main indicators of the analysis. Finally, multicriteria decision-making and Bayes theorems were applied for overall compactness assessment. Building density analysis was validated using standard confusion matrix, which showed more than 90% accuracy. Similarly, the root-mean squared error showed 0.35 for object-based classification. The results classified the zones of the Kajang city in the range of least to most compact zones with the compactness value of 0.00273–0.0146, respectively. The results obtained in this study can help local government to improve the compactness of least compact zones to make Kajang city more sustainable. Furthermore, the results revealed that efficient public transportation and proper community facilities are the key factors to achieve sustainable urban development. Taylor & Francis 2015 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/37779/1/37779.pdf Abdullahi, Saleh and Pradhan, Biswajeet and Jebur, Mustafa Neamah (2015) GIS-based sustainable city compactness assessment using integration of MCDM, Bayes theorem and RADAR technology. Geocarto International, 30 (4). pp. 365-387. ISSN 1010-6049; ESSN: 1752-0762 http://www.tandfonline.com/doi/abs/10.1080/10106049.2014.911967 10.1080/10106049.2014.911967
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description In recent decades, compact urban development and smart cities are recognised as most sustainable urban form in an effort to protect natural environment. Therefore, evaluation of existing compactness and sustainability of an area is an essential task before the real development takes place. In the literature, it is possible to see some studies on city’s compactness assessment and most of them have considered only a few aspects of compact development analysis. This paper aims to analyse urban sustainability of Kajang city (Malaysia) through a comprehensive city compactness assessment using geographical information system and radar remote sensing technology. To measure building density, a RADAR image of the study area was used to extract built-up areas with the aid of pixel-based and object-based classification schemes. Mixed land use development, urban density and intensity were the main indicators of the analysis. Finally, multicriteria decision-making and Bayes theorems were applied for overall compactness assessment. Building density analysis was validated using standard confusion matrix, which showed more than 90% accuracy. Similarly, the root-mean squared error showed 0.35 for object-based classification. The results classified the zones of the Kajang city in the range of least to most compact zones with the compactness value of 0.00273–0.0146, respectively. The results obtained in this study can help local government to improve the compactness of least compact zones to make Kajang city more sustainable. Furthermore, the results revealed that efficient public transportation and proper community facilities are the key factors to achieve sustainable urban development.
format Article
author Abdullahi, Saleh
Pradhan, Biswajeet
Jebur, Mustafa Neamah
spellingShingle Abdullahi, Saleh
Pradhan, Biswajeet
Jebur, Mustafa Neamah
GIS-based sustainable city compactness assessment using integration of MCDM, Bayes theorem and RADAR technology
author_facet Abdullahi, Saleh
Pradhan, Biswajeet
Jebur, Mustafa Neamah
author_sort Abdullahi, Saleh
title GIS-based sustainable city compactness assessment using integration of MCDM, Bayes theorem and RADAR technology
title_short GIS-based sustainable city compactness assessment using integration of MCDM, Bayes theorem and RADAR technology
title_full GIS-based sustainable city compactness assessment using integration of MCDM, Bayes theorem and RADAR technology
title_fullStr GIS-based sustainable city compactness assessment using integration of MCDM, Bayes theorem and RADAR technology
title_full_unstemmed GIS-based sustainable city compactness assessment using integration of MCDM, Bayes theorem and RADAR technology
title_sort gis-based sustainable city compactness assessment using integration of mcdm, bayes theorem and radar technology
publisher Taylor & Francis
publishDate 2015
url http://psasir.upm.edu.my/id/eprint/37779/1/37779.pdf
http://psasir.upm.edu.my/id/eprint/37779/
http://www.tandfonline.com/doi/abs/10.1080/10106049.2014.911967
_version_ 1643832061188898816
score 13.211869