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Green assessment and improvement framework for electric bus operational system

In response to the worldwide environmental problem and fossil oil dependency concern, electric bus (EB) has emerged as a promising green transport to alleviate air pollution. However, there is no available method on how to quantify the environmental (green) performance of EB operational system that...

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Main Authors: Teo, Lay Eng, Goh, Siew Yoke, Khoo, Hooi Ling
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2021
Online Access:http://journalarticle.ukm.my/18779/1/32.pdf
http://journalarticle.ukm.my/18779/
https://www.ukm.my/jkukm/volume-333-2021/
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spelling my-ukm.journal.187792022-06-10T01:59:34Z http://journalarticle.ukm.my/18779/ Green assessment and improvement framework for electric bus operational system Teo, Lay Eng Goh, Siew Yoke Khoo, Hooi Ling In response to the worldwide environmental problem and fossil oil dependency concern, electric bus (EB) has emerged as a promising green transport to alleviate air pollution. However, there is no available method on how to quantify the environmental (green) performance of EB operational system that could provide proper guidance to the bus operators. Thus, this study aims to develop a green assessment and improvement framework for EB operational system which is capable of capturing bus noise, emission, and energy consumption level explicitly in quantifying the respective green index. To do this, the approaches of Gini Index, Analytic Hierarchy as well as Weighted-grading are employed accordingly. The resultant Green Performance Index (GPI) is vital not only to enhance the green performance of EB operational system, but also to tackle the needs and preferences of the bus operators in meeting the demand of passengers. By analysing a study area in Putrajaya (Malaysia), the findings show that the green performance of EB operational system would vary across numerous operational factors, including load factor, bus frequency, and bus type. The results also highlight that the green weightage of energy consumption emerges with the highest value (approximately 69%). Besides that, it was found that the improvement strategy of load factor increment is beneficial to improve the GPI of the bus operator, up to 37.9%. Concisely, it is anticipated that the developed approach as well as the resultant findings would yield useful insights especially to the bus operators to operate EB in a greener and better manner. Penerbit Universiti Kebangsaan Malaysia 2021 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/18779/1/32.pdf Teo, Lay Eng and Goh, Siew Yoke and Khoo, Hooi Ling (2021) Green assessment and improvement framework for electric bus operational system. Jurnal Kejuruteraan, 33 (3). pp. 741-751. ISSN 0128-0198 https://www.ukm.my/jkukm/volume-333-2021/
institution Universiti Kebangsaan Malaysia
building Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
language English
description In response to the worldwide environmental problem and fossil oil dependency concern, electric bus (EB) has emerged as a promising green transport to alleviate air pollution. However, there is no available method on how to quantify the environmental (green) performance of EB operational system that could provide proper guidance to the bus operators. Thus, this study aims to develop a green assessment and improvement framework for EB operational system which is capable of capturing bus noise, emission, and energy consumption level explicitly in quantifying the respective green index. To do this, the approaches of Gini Index, Analytic Hierarchy as well as Weighted-grading are employed accordingly. The resultant Green Performance Index (GPI) is vital not only to enhance the green performance of EB operational system, but also to tackle the needs and preferences of the bus operators in meeting the demand of passengers. By analysing a study area in Putrajaya (Malaysia), the findings show that the green performance of EB operational system would vary across numerous operational factors, including load factor, bus frequency, and bus type. The results also highlight that the green weightage of energy consumption emerges with the highest value (approximately 69%). Besides that, it was found that the improvement strategy of load factor increment is beneficial to improve the GPI of the bus operator, up to 37.9%. Concisely, it is anticipated that the developed approach as well as the resultant findings would yield useful insights especially to the bus operators to operate EB in a greener and better manner.
format Article
author Teo, Lay Eng
Goh, Siew Yoke
Khoo, Hooi Ling
spellingShingle Teo, Lay Eng
Goh, Siew Yoke
Khoo, Hooi Ling
Green assessment and improvement framework for electric bus operational system
author_facet Teo, Lay Eng
Goh, Siew Yoke
Khoo, Hooi Ling
author_sort Teo, Lay Eng
title Green assessment and improvement framework for electric bus operational system
title_short Green assessment and improvement framework for electric bus operational system
title_full Green assessment and improvement framework for electric bus operational system
title_fullStr Green assessment and improvement framework for electric bus operational system
title_full_unstemmed Green assessment and improvement framework for electric bus operational system
title_sort green assessment and improvement framework for electric bus operational system
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2021
url http://journalarticle.ukm.my/18779/1/32.pdf
http://journalarticle.ukm.my/18779/
https://www.ukm.my/jkukm/volume-333-2021/
_version_ 1735387666069848064
score 13.211869

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