Version 1
: Received: 22 April 2023 / Approved: 24 April 2023 / Online: 24 April 2023 (10:47:31 CEST)
How to cite:
Bissai, F.D.; Fouda Mbanga, B.G.; Adiang Mezoue, C.; Nguiya, S. Analysis Driving Factors of Energy Consumption in the Road Transport Sector of the City in Douala, Cameroon. Preprints2023, 2023040850. https://doi.org/10.20944/preprints202304.0850.v1
Bissai, F.D.; Fouda Mbanga, B.G.; Adiang Mezoue, C.; Nguiya, S. Analysis Driving Factors of Energy Consumption in the Road Transport Sector of the City in Douala, Cameroon. Preprints 2023, 2023040850. https://doi.org/10.20944/preprints202304.0850.v1
Bissai, F.D.; Fouda Mbanga, B.G.; Adiang Mezoue, C.; Nguiya, S. Analysis Driving Factors of Energy Consumption in the Road Transport Sector of the City in Douala, Cameroon. Preprints2023, 2023040850. https://doi.org/10.20944/preprints202304.0850.v1
APA Style
Bissai, F.D., Fouda Mbanga, B.G., Adiang Mezoue, C., & Nguiya, S. (2023). Analysis Driving Factors of Energy Consumption in the Road Transport Sector of the City in Douala, Cameroon. Preprints. https://doi.org/10.20944/preprints202304.0850.v1
Chicago/Turabian Style
Bissai, F.D., Cyrille Adiang Mezoue and Severin Nguiya. 2023 "Analysis Driving Factors of Energy Consumption in the Road Transport Sector of the City in Douala, Cameroon" Preprints. https://doi.org/10.20944/preprints202304.0850.v1
Abstract
The population growth, economic development and urbanization of the city of Douala in Cameroon are facing great challenges, particularly environmental and economic problems. However, there is an evolution of the road transport sector that has led to an excessive increase in the consumption of fossil fuels and over the last decades to an increase in greenhouse gases in the road transport sector. From this observation, no real policy has yet been put in place with a view to improving the energy efficiency of the transport sector. This work aim at analyzing the driving force factors of energy consumption in road transport in the city of Douala. In this study, a decomposition analysis through the Logarithmic Mean Divisa Index (LMDI) method is used during the period 2010-2019 to quantify their respective contributions in energy consumption. We have broken down road transport energy consumption into four main factors as main determinants such as: vehicle energy intensity, vehicle intensity, Gross Domestic Product (GDP) per capita and population. The results show that vehicle energy intensity, vehicle intensity, GDP per capita and population effect all have a positive impact on energy consumption and therefore main responsible for the increase in fuel consumption energy contributing respectively to 13.06%, 31.30%, 12.85% and 42.76% of the total variation of energy consumption. It is therefore necessary to implement several energy saving strategies in order to achieve a rationalization of energy consumption for a reduction of road transport energy. Political decision-makers must take such a study into account to better integrate the notion of sustainable transport.
Keywords
decomposition analysis; driving factors; energy consumption; logarithmic -mean divisa Index method; road transport
Subject
Engineering, Energy and Fuel Technology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
