Assessment of the Role of Information and Communication Technologies for Record Keeping in School Management and Administration in tertiary institutions

The number of motor vehicles in Nigeria is increasing rapidly, and this trend contributes immensely to global warming as a result of the corresponding increase in carbon emissions pumping into the atmosphere. Therefore, the estimation of the carbon footprint produced by motor vehicles in Nigeria is imperative. This study attempts to predict the carbon footprint produced by cars in the Nigerian major states: Lagos, Kano, Rivers, and the FCT. The number of registered private and commercial cars in these states from 2018 to 2022 was obtained from the National Bureau of Statistics. The prediction of the number of cars from 2023 to 2050 was done with the aid of a prediction code developed using the Support Vector Machine algorithm in Matlab programming. The code developed was verified using a regression model. The predicted results showed that Lagos State has the highest number of registered cars, which represents 60.4% and 54.2% in 2030 and 2050, respectively. The percentage increase in registered cars in these states rises from 27.5% between 2023 and 2030 to 47.5% between 2030 and 2050. The total predicted carbon footprint produced by the cars in 2030, 2040, and 2050 was 30.184 MtCO2e, 42.622 MtCO2e, and 55.284 MtCO2e, respectively. This result indicates that the transport sector needs to be given adequate attention by policymakers in order to mitigate and forestall the catastrophic effect of pumping carbon emissions into the atmosphere.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-27
DOI
https://doi.org/10.5281/zenodo.13847802
Primary Topic
African Education and Politics
Type
article
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article

Assessment of the Role of Information and Communication Technologies for Record Keeping in School Management and Administration in tertiary institutions

Zenodo (CERN European Organization for Nuclear Research)
African Education and Politics
article

Assessment of the Role of Information and Communication Technologies for Record Keeping in School Management and Administration in tertiary institutions

article en

Abstract

The number of motor vehicles in Nigeria is increasing rapidly, and this trend contributes immensely to global warming as a result of the corresponding increase in carbon emissions pumping into the atmosphere. Therefore, the estimation of the carbon footprint produced by motor vehicles in Nigeria is imperative. This study attempts to predict the carbon footprint produced by cars in the Nigerian major states: Lagos, Kano, Rivers, and the FCT. The number of registered private and commercial cars in these states from 2018 to 2022 was obtained from the National Bureau of Statistics. The prediction of the number of cars from 2023 to 2050 was done with the aid of a prediction code developed using the Support Vector Machine algorithm in Matlab programming. The code developed was verified using a regression model. The predicted results showed that Lagos State has the highest number of registered cars, which represents 60.4% and 54.2% in 2030 and 2050, respectively. The percentage increase in registered cars in these states rises from 27.5% between 2023 and 2030 to 47.5% between 2030 and 2050. The total predicted carbon footprint produced by the cars in 2030, 2040, and 2050 was 30.184 MtCO2e, 42.622 MtCO2e, and 55.284 MtCO2e, respectively. This result indicates that the transport sector needs to be given adequate attention by policymakers in order to mitigate and forestall the catastrophic effect of pumping carbon emissions into the atmosphere.

Zenodo (CERN European Organization for Nuclear Research)
The Federal Polytechnic, Ado-Ekiti (NG), Federal Polytechnic, Mubi
Industry, innovation and infrastructure
Openalex Percentile: Top 33%
African Education and Politics
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Assessment of the Role of Information and Communication Technologies for Record Keeping in School Management and Administration in tertiary institutions · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS