Geospatial Assessment of Population and Urban Growth Using Exponential Growth Model: A case study of Ibeju-Lekki Local Government Area, Lagos State.

Year 2024, Volume: 11 Issue: 2, 10 - 17, 16.06.2024

Segun Stephen Folorunso , Luqman Muhammed , Temiloluwa Adekunle , Abdulrahman Raheem

https://doi.org/10.30897/ijegeo.1373666

Abstract

The rapid population growth in Ibeju-Lekki, Lagos State, Nigeria, has caused many challenges such as infrastructure pressure, environmental degradation and social unrest. To investigate the relationship between population growth and urban expansion in Ibeju-Lekki, Lagos state from 1991 to 2022, a geospatial assessment was conducted.
According to the study, the population of Ibeju-Lekki experienced an average annual growth rate of 4.5% from 1991 to 2022. This growth can be attributed in large part to migration from rural areas and natural population increase. Interestingly, the study also revealed that the population growth rate was higher in urban areas than in rural ones. Additionally, the research found that the urban expansion in Ibeju-Lekki was swift, with the built-up area increasing by an average of 10% annually.
Overall, these findings suggest that the government should adopt measures aimed at managing population growth and promoting sustainable development such as investing in infrastructure, improving environmental management and promoting social inclusion to mitigate the negative impacts of population growth in Ibeju-Lekki, Lagos state. These measures can help alleviate the strain on the region's resources and infrastructure caused by rapid population growth and urbanization.

Keywords

Population Growth, Urban Expansion, Exponential Growth Model, Geospatial Assessment

References

• Benomar, T. B., Biant, F., Abdolaziz, M. S. (2006). Application of GIS for Population Analysis Case Study of Zwarah, Libya. Science Alert.
• Cohen, B. (2015). Urbanisation, City Growth, and the New United Nations Development Agenda. The Official Journal of the World Coal Industry, Vol. 3, no. 2. pp. 4–7.
• Foody, G. M. (2004). Supervised image classification by MLP and RBF neural networks with and without an exhaustively defined set of classes. International Journal of Remote Sensing.
• Future Capetown. (2017). Facebook Reveals: Lagos Leads Global Urban Migration. Smart City Dive. Hussein, B. K. (2019). Population Mapping of Part of Ojota and Its Environment Using Unmanned Aerial Vehicle (UAV). Unpublished.
• Ibeju-Lekki Local Government Authority. (2021). About Ibeju-Lekki LGA. Retrieved from https://ibejulekki.lg.gov.ng:
• Joy, A. B. (2022). Mapping the Spatial Distribution of Pharmaceutical Stores Within Major Roads in Ado Odo Ota Lga, Ogun State. Unpublished.
• Korotayev, A., Grini, L. (2006). The Urbanization and Political Development of the World System: A comparative quantitative analysis. History and Mathematics: Historical Dynamics and Development of Complex Societies, 115–153.
• Li, H., Wang, C., Zhong, C., Zhang, Z., Liu, Q. (2017). Mapping Typical Urban LULC from Landsat Imagery without Training Samples or Self-Defined Parameters. Remote Sensing.
• Max, R. (2013). Future Population Growth. Our World in Data.
• OECD Development Centre. (2018). How Immigrants Contribute to Developing Countries' Economies. OECD Library.
• Okpala, A. O. (1990). Nigerian population growth and its implications for economic development. National Library of Medicine.
• Olujimi, B. D. (2022). Topographical Mapping of Bells Comprehensive Secondary School, Ota Using Uav Technology. Unpublished.
• Opeoluwa, A. O. (2021). The Impact of Population Growth in West Africa: The Nigerian Outlook. Intergovernmental Research and Policy Journal, 17.
• Pal, K. K., Sudeep, K. S. (2016). They are preprocessing for image classification by convolutional neural networks. IEEE.
• Pateman, T. (2011). Rural and urban areas: comparing lives using rural/urban classifications. Regional Trends, 11–86.
• Qingyao, H., Yihua, L. (2021). The Coupling between Urban Expansion and Population Growth: An Analysis of Urban Agglomerations in China (2005–2020). Sustainability, 7250.
• Rahimi, A. (2016). A methodological approach to urban land-use change modelling using infill development patterns case study in Tabriz, Iran. Ecological Processes.
• Ramadan, M. S., Effat, H. A. (2021). Geospatial modelling for a sustainable urban development zoning map using AHP in Ismailia Governorate, Egypt. The Egyptian Journal of Remote Sensing and Space Science, 191-202.
• Rimba, A. B., Chapagain, G. M., Arumansawang, A., Payus, C., Fukushi, K., Husnayaen, T. O., Avtar, R. (2021). Impact of population growth and land use and land cover (LULC) changes on water quality in tourism-dependent economies using a geographically weighted regression approach. Environmental Science and Pollution Research, 25920–25938.
• Roser, M., Rodés-Guirao, L. (2019). Future Population Growth. Retrieved from https://ourworldindata.org: Salant, P., Don A, D. (1995). How to Conduct Your Survey: Leading professionals give you proven techniques for getting reliable results?
• Shirazi, S. A., Kazmi, S. J. (2014). Analysis of Population Growth and Urban Development in Lahore-Pakistan using Geospatial Techniques: Suggesting some future Options. South Asian Studies, Vol 29, No 1, Vol 29, No 1.
• Tatem, A. (2014). Mapping the denominator: spatial demography in the measurement of progress. International Health Journal, 153.
• United Nations. (2008). Principles and Recommendations for Population and Housing Censuses. Statistical Papers, Series M No. 67/Rev. 2. p. 8. ISBN 978-92-1-161505-0.
• United Nations. (2022). Population: Our growing population. Retrieved from https://www.un.org:
• United Nations. (2022). World Population Prospects 2017 – Data Booklet (ST/ESA/SER.A/401)" (PDF). 2017 Archived from the original on March 7, 2022. United Nations Department of Economic and Social Affairs.
• Victoria, A. A. (2022). Assessment of Paved Road Condition Using Uav Technology Within Bells University of Technology, ota. Unpublished.
• Vollset, S. E., Goren, E., Yuan, C.-W., Cao, J., Smith, A. E., Hsiao, T., …., Mokdad. (2020). Fertility, mortality, migration, and population scenarios for 195 countries and territories from 2017 to 2100: a forecasting analysis for the Global Burden of Disease Study. Lancet, 1285–1306.
• Wang, H., Huang, L., Hu, J., Yang, H., Guo, W. (2022). Effect of Urbanization on the River Network Structure in Zhengzhou City, China. International Journal Environmental Resources Public Health, 2464.
• World Bank. (2022). Urban Development. Retrieved from https://www.worldbank.org:
• World Population and Housing Census Programme. (2010). Post Enumeration Surveys: Operational guidelines. United Nations Secretariat, Dept of Economic and Social Affairs, Statistics Division. WorldoMeter. (2023). Current World Population. Retrieved from https://www.worldometers.info:
• Yu, D., X. L., Yu, J., Shi, X., Liu, P., Tian, P. (2021). Whether Urbanization Has Intensified the Spread of Infectious Diseases-Renewed Question by the COVID-19 Pandemic. Frontiers in Public Health.
• Zhang, B., Li, W., Zhang, C. (2022). Analysing land use and land cover change patterns and population dynamics of fast-growing US cities: Evidence from Collin County, Texas. Remote Sensing Applications: Society and Environment.