Weightage factors for Malaysia green highway assessment

A green highway is an effort to achieve sustainable approach for sustainable infrastructure. Key requirements for realizing green highway goals comprise of the fulfilment of Green Highway Index (GHI). GHI development and establishment of its criteria provide alternative and appropriate options for h...

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Main Author: Ismail, Mohd. Affendi
Format: Thesis
Language:English
Published: 2013
Subjects:
Online Access:http://eprints.utm.my/id/eprint/78272/1/MohdAffendiIsmailMFKA20131.pdf
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spelling my.utm.782722018-08-03T08:47:07Z http://eprints.utm.my/id/eprint/78272/ Weightage factors for Malaysia green highway assessment Ismail, Mohd. Affendi TA Engineering (General). Civil engineering (General) A green highway is an effort to achieve sustainable approach for sustainable infrastructure. Key requirements for realizing green highway goals comprise of the fulfilment of Green Highway Index (GHI). GHI development and establishment of its criteria provide alternative and appropriate options for highway assessments. The weightage factors help to set the priorities of green highway elements according to their numbering value. The aim of this research is to establish weightage factors for the green highway criteria to be used in the Malaysia Green Highway assessment. An extensive literature review was undertaken on five major criteria identified in the Malaysia green highways assessment which are Sustainable Design and Construction Activities (SDCA), Energy Efficiency (EE), Material and Technology (MT), Environmental and Water Management (EWM), and Social and Safety (SS). In overall, 133 variables were selected from five main criteria to run the weightage Factor Analysis of Malaysia Green Highway Assessment. The elements were confirmed by 140 respondents, participating in questionnaire surveys, and were analysed using SPSS 18.0. A pilot analysis was undertaken by the reductions of factors to select a number that was easy to analyse but explained most of the variance using Factor Analysis. Factor score was calculated for each variable by multiplying the mean value of criterion with respective Factor Loading. The calculation of weightage factor was done by determining the ratio of percentage of population over the percentage of sample in a main criterion. Criterion with higher weightage was considered more important than another. Out of 133 criteria, 7 criteria were chosen for SDCA: 4 for EWM, another 4 for MT, 6 for EE and 7 for SS. The results show that all of these five main criteria served as essential basis for the development of Malaysia Green Highway Assessment. 2013-11 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/78272/1/MohdAffendiIsmailMFKA20131.pdf Ismail, Mohd. Affendi (2013) Weightage factors for Malaysia green highway assessment. Masters thesis, Universiti Teknologi Malaysia, Faculty of Civil Engineering. http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:78908
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Ismail, Mohd. Affendi
Weightage factors for Malaysia green highway assessment
description A green highway is an effort to achieve sustainable approach for sustainable infrastructure. Key requirements for realizing green highway goals comprise of the fulfilment of Green Highway Index (GHI). GHI development and establishment of its criteria provide alternative and appropriate options for highway assessments. The weightage factors help to set the priorities of green highway elements according to their numbering value. The aim of this research is to establish weightage factors for the green highway criteria to be used in the Malaysia Green Highway assessment. An extensive literature review was undertaken on five major criteria identified in the Malaysia green highways assessment which are Sustainable Design and Construction Activities (SDCA), Energy Efficiency (EE), Material and Technology (MT), Environmental and Water Management (EWM), and Social and Safety (SS). In overall, 133 variables were selected from five main criteria to run the weightage Factor Analysis of Malaysia Green Highway Assessment. The elements were confirmed by 140 respondents, participating in questionnaire surveys, and were analysed using SPSS 18.0. A pilot analysis was undertaken by the reductions of factors to select a number that was easy to analyse but explained most of the variance using Factor Analysis. Factor score was calculated for each variable by multiplying the mean value of criterion with respective Factor Loading. The calculation of weightage factor was done by determining the ratio of percentage of population over the percentage of sample in a main criterion. Criterion with higher weightage was considered more important than another. Out of 133 criteria, 7 criteria were chosen for SDCA: 4 for EWM, another 4 for MT, 6 for EE and 7 for SS. The results show that all of these five main criteria served as essential basis for the development of Malaysia Green Highway Assessment.
format Thesis
author Ismail, Mohd. Affendi
author_facet Ismail, Mohd. Affendi
author_sort Ismail, Mohd. Affendi
title Weightage factors for Malaysia green highway assessment
title_short Weightage factors for Malaysia green highway assessment
title_full Weightage factors for Malaysia green highway assessment
title_fullStr Weightage factors for Malaysia green highway assessment
title_full_unstemmed Weightage factors for Malaysia green highway assessment
title_sort weightage factors for malaysia green highway assessment
publishDate 2013
url http://eprints.utm.my/id/eprint/78272/1/MohdAffendiIsmailMFKA20131.pdf
http://eprints.utm.my/id/eprint/78272/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:78908
_version_ 1643657847652745216
score 13.15806