Open Access
Issue
E3S Web Conf.
Volume 418, 2023
African Cities Conference (ACC 2023): A part of African Cities Lab 2023 Summit
Article Number 05004
Number of page(s) 12
Section Urban Health, Quality of Life, and Living Environment
DOI https://doi.org/10.1051/e3sconf/202341805004
Published online 07 December 2023
  1. Adama, O., 2018. Urban imaginaries: funding mega infrastructure projects in Lagos, Nigeria. GeoJournal, 83(2), pp.257-274. https://doi.org/10.1007/s10708-016-9761-8 [CrossRef] [Google Scholar]
  2. Ajayi, S. A., Adams, C. A., Dumedah, G., Adebanji, O. A., Ababio-Donkor, A., Ackaah, W., & Kehinde, A. 2023. Public perceptions of vehicular traffic emissions on health risk in Lagos metropolis Nigeria: A critical survey. Heliyon, 9(5), e15712. https://doi.org/10.1016/fheliyon.2023.e1571 [CrossRef] [PubMed] [Google Scholar]
  3. Ayetor, G.K., Mbonigaba, I., Ampofo, J. and Sunnu, A., 2021. Investigating the state of road vehicle emissions in Africa: A case study of Ghana and Rwanda. Transportation Research Interdisciplinary Perspectives, 11, p.100409. [CrossRef] [Google Scholar]
  4. Ayetor, G.K., Opoku, R., Sekyere, C.K.K., Agyei-Agyeman, A. and Deyegbe, G.R., 2021. The cost of a transition to electric vehicles in Africa: A case study of Ghana. Case Studies on Transport Policy. [Google Scholar]
  5. Bikam, P.B., 2022. Vehicle Management and Emission Control and Maintenance. In Green Economy in the Transport Sector (pp. 51-64). Springer, Cham. [CrossRef] [Google Scholar]
  6. Hirota, K. and Kashima, S., 2020. How are automobile fuel quality standards guaranteed? Evidence from Indonesia, Malaysia, and Vietnam. Transportation Research Interdisciplinary Perspectives, 4, p.100089. https://doi.org/10.1016/ftrip.2019.100089 [CrossRef] [Google Scholar]
  7. Khreis, H. and Nieuwenhuijsen, M.J., 2019. The health impacts of urban transport: Linkages, tools and research needs. In Measuring Transport Equity (pp. 131-142). Elsevier. Kumar, P., Hama, S., Abbass, R.A., Nogueira, T., Brand, V.S., Abhijith, K.V., de Fatima Andrade, M., Asfaw, A., Aziz, K.H., Cao, S.J. and El-Gendy, A., 2021. Potential health risks due to in-car aerosol exposure across ten global cities. Environment international, 155, p.106688. [CrossRef] [Google Scholar]
  8. Maduekwe, M., Akpan, U. and Isihak, S., 2020. Road transport energy consumption and vehicular emissions in Lagos, Nigeria: An application of the LEAP model. Transportation Research Interdisciplinary Perspectives, 6, p.100172. [CrossRef] [Google Scholar]
  9. Meng, X., Zhang, K., Pang, K. and Xiang, X., 2020. Characterization of Spatio-temporal distribution of vehicle emissions using web-based real-time traffic data. Science of The Total Environment, 709, p.136227. [CrossRef] [Google Scholar]
  10. National Environmental (Air Quality Control) Regulations, S. I. No 64, 2014 research\air quality control.pdf [Google Scholar]
  11. Odekanle, E.L., Adeyeye, M.A., Akeredolu, F.A., Sonibare, J.A., Oloko-Oba, I.M., Abiye, O.E., Isadare, D.A. and Daniyan, A.A., 2017. Variability of Meteorological Factors on Incabin and Pedestrians Exposures to CO and VOC in South-west Nigeria. Journal of Atmospheric Pollution, 5(1), pp.1-8. [Google Scholar]
  12. Okimiji, O.P., Techato, K., Simon, J.N., Tope-Ajayi, O.O., Okafor, A.T., Aborisade, M.A., and Phoungthong, K., 2021. Spatial Pattern of Air Pollutant Concentrations and Their Relationship with Meteorological Parameters in Coastal Slum Settlements of Lagos, Southwestern Nigeria. Atmosphere, 72(11), p.1426. [CrossRef] [Google Scholar]
  13. Olukanni, D., Enetomhe, D., Bamigboye, G. and Bassey, D., 2021. A Time-Based Assessment of Particulate Matter (PM2. 5) Levels at a Highly Trafficked Intersection: Case Study of Sango-Ota, Nigeria. Atmosphere, 12(5), p.532. [CrossRef] [Google Scholar]
  14. Ribeiro, F.N.D., Umezaki, A.S., Chiquetto, J.B., Santos, I., Machado, P.G., Miranda, R.M., Almeida, P.S., Simoes, A.F., Mouette, D., Leichsenring, A.R. and Ueno, H.M., 2021. Impact of different transportation planning scenarios on air pollutants, greenhouse gases, and heat emission abatement. Science of The Total Environment, 781, p.146708. [CrossRef] [Google Scholar]
  15. Smit, R., Kingston, P., Neale, D.W., Brown, M.K., Verran, B., and Nolan, T., 2019. Monitoring on-road air quality and measuring vehicle emissions with remote sensing in an urban area. Atmospheric Environment, 218, p. 116978. [CrossRef] [Google Scholar]
  16. Stanaway, J.D., Afshin, A., Gakidou, E., Lim, S.S., Abate, D., Abate, K.H., Abbafati, C., Abbasi, N., Abbastabar, H., Abd-Allah, F. and Abdela, J., 2018. Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. The Lancet, 392(10159), pp.1923-1994. [CrossRef] [Google Scholar]
  17. World Health Organization, 2016. World health statistics 2016: monitoring health for the SDGs sustainable development goals. World Health Organization.• Data-Driven Model Initialization : Deep learning can provide initial conditions or parameters for traditional models, ensuring that they start with accurate baseline data. For example, deep learning models can estimate [Google Scholar]

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