Greenhouse gas (GHG) emissions from land transports in Malaysia: modelling and policy analysis
Transportation sector is important to the economy and its rapid development has contributed significantly to the socioeconomic development of the country. The transportation sector in Malaysia accounts for approximately 35% of the total energy consumed nationally and produces nearly 50 million ton...
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| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2019
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/90929/1/ShibliAzlan2019_GreenhouseGas%28GHG%29Emissions.pdf http://eprints.utm.my/id/eprint/90929/ http://ieomsociety.org/pilsen2019/papers/456.pdf. |
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| Institution: | Universiti Teknologi Malaysia |
| Language: | English |
| Summary: | Transportation sector is important to the economy and its rapid development has contributed significantly to the
socioeconomic development of the country. The transportation sector in Malaysia accounts for approximately 35%
of the total energy consumed nationally and produces nearly 50 million tonne of CO2 per year in 2015, second only
to electricity power generation. Though shares only 0.3% of global GHG (Greenhouse gas) emissions, Malaysia is
second largest per capita GHG emitter among the group of ASEAN countries and the major concern lies in the ever
increasing trends. The aim of this work was to perform dynamic quantitative emission analysis of Malaysian vehicle
fleet until year 2040, primarily on land transports including both passenger and freight transports except train.
Utilizing a System Dynamic approach using Powersim Studio®, several emission scenarios were modelled in
compared to current scenario (baseline model). The baseline model was used to determine carbon dioxide (CO2),
carbon monoxide (CO) and nitrogen oxides (NOx) reduction for different policy scenarios in compared to baseline
scenario. The complex relationships between the various components in the transport system are reflected in the
dynamic model considering the vehicle technology, legislation and drivers’ attitude. This work found that CO2
emission in 2040 can be reduced by up to 50%, compared to baseline scenario, without affecting the economy and
vehicle demand. Carbon dioxide and nitrogen oxides pollution can also be reduced by 75% and 93% respectively
with implementation of several policies compared to baseline scenario. |
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