Goh, Siew Yoke (2022) Development of a decision process based on green performance index for electric bus operation. Master dissertation/thesis, UTAR.
Abstract
Globally, the transportation sector had contributed approximately 23% carbon dioxide emission due to the rapid urban development. With the increasing demand in transportation, the environmental issues have arisen and shortage of the non renewable natural resources incurred. These issues also associated with numerous harmful effects on human health. Therefore, electric bus operation, which carries zero tailpipe emission and lower noise, is proposed as a promising solution. However, a limited study electric bus operations. I n order to quantifies quantify the overall environmental performance of the green performance of electric bus operations, this study aims to develop decision an environmental assessment framework process for electric bus operation can be built. , so that beneficial In particular for planning and operation purposes , the developed approach fleet can help electric bus operators make better decisions in operating electric buses . The assessment environmental performance of the electric bus operation includes of several environmental factors (energy consumption, emission, and noise) as well as numerous influencing aspects (government policy and subsidy enforcement, passengers' feedback and respons e, bus technical features, and financial cost) that are closer to the realistic application for more relevant and insightful implementation. Through Gini Index Approach environmental factor (i.e. , , the green index for the respective energy consumption, emission and noise) formulated. can be In order to capture the subjective judgment of the transportation expert in electric bus operational planning, Analytic Hierarchy Process is adopted (with the aid of a survey) to determine the wei ghtage of each green index. And, several improvement strategies are proposed to enhance the performance of electric bus operations in respect of environmental Green Performance Index (GPI). In order to evaluate the applicability of the proposed study, an i llustrative case study in Putrajaya, Malaysia was conducted. From the results obtained, it could be seen that the improvement strategy with load factor increment shows the greenest performance. Besides, the green performance of electric bus is greatly affe cted by a variety of elements, including bus capacity, bus frequency, and the speed and charging duration of electric bus. Overall, the findings reveal that the resulted GPI can be used as a beneficial decision tool in electric bus planning and operation. This would result in a winwin situation to the environment as well as the community (including the bus operators).
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