The City-Region Formation Patterns and Urban Spatial Density Using GIS-based Data
Abstract
Elucidating the formation of city-regions, which is associated with networks of settlements and their spatial densities is crucial for the spatial distribution or arrangments of regional elements for regional sustainability. The current study, therefore, deployed GIS-based data to evaluate urban spatial density patterns of city-regions’ formation to support sustainable regional development planning and policies. Using the Abuja City-Region of Nigeria, the study deployed land cover maps of different temporal boundaries covering the city-region and adopted the concentric zone model of urban spatial patterns to calculate the spatial densities at the regional scale. Key findings showed that the urban spatial density of the city-region declined from Zone 1 to other Zones towards peri-urban of each settlement, except for Zone 5, which increased to Zone 6 from 1987 to 2002. Also, the urban density changes of the concentric zones between different temporal boundaries showed a decline from Zone 1 to Zone 9, except for the increase in change detection between Zone 8 and 9 from 2002 to 2017. The information derived from the current study is of importance to decision-makers in regional development planning and policies on the spatial distribution of regional elements and to reduce or eliminate future urban leapfrogging, especially in land demarcated for environmentally sensitive areas, including forest reserves, productive forestry, and intensive agriculture
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References
Abubakar, I. R. (2014). Abuja city profile. Cities, 41, 81– 91. https://doi.org/10.1016/j.cities.2014.05.008
Adama, O. (2020). Abuja is not for the poor: Street vending and the politics of public space. Geoforum, 109, 14– 23. https://doi.org/10.1016/j.geoforum.2019.12.012
Agyemang, F. S., & Silva, E. (2019). Simulating the urban growth of a predominantly informal Ghanaian city-region with a cellular automata model: Implications for urban planning and policy. Applied Geography, 105, 15-24. https://doi.org/10.1016/j.apgeog.2019.02.011
AS&P (Albert Speer & Partner GmbH) & Elsworth, D. (2008). Federal Capital City of Abuja: Review of the Abuja Master Plan - Master Plan for Abuja North Phase IV- West/Structure Plan for Abuja North Phase IV-East Urban Area. Frankfurt am Main: AS&P.
Campbell, J. B., & Wynne, R. H. (2011). Introduction to Remote Sensing (Fifth ed.). New York: The Guilford Press.
Chen, Y., Irwin, E. G., Jayaprakash, C., & Irwin, N. B. (2017). Market thinness, income sorting and leapfrog development across the urban-rural gradient. Regional Science and Urban Economics, 66, 213– 223. https://doi.org/10.1016/j.regsciurbeco.2017.07.001
Ejaro, S., & Abubakar, A. (2013). The challenges of rapid urbanization on sustainable development of Nyanya, Federal Capital Territory, Abuja, Nigeria. Journal of Applied Sciences and Environmental Management, 17, 299- 313. http://dx.doi.org/10.4314/jasem.v17i2.13
Enoguanbhor, E. C. (2021). Urban land dynamics in the Abuja City-Region, Nigeria: integrating GIS, remotely sensed, and survey-based data to support land use planning. Berlin: Humboldt-Universität zu Berlin. https://doi.org/10.18452/23620
Enoguanbhor, E. A., Enoguanbhor, E. C., & Albrecht, E. (2022a). Spatial Determinants of Forest Landscape Degradation in the Kilimanjaro World Heritage Site, Tanzania. Central European Journal of Geography and Sustainable Development, 4(2), 5-23. https://doi.org/10.47246/CEJGSD.2022.4.2.1
Enoguanbhor, E. C., Gollnow, F., Nielsen, J. O., Lakes, T., & Walker, B. B. (2019). Land Cover Change in the Abuja City-Region, Nigeria: Integrating GIS and Remotely Sensed Data to Support Land Use Planning. Sustainability, 11(5), 1313. https://doi.org/10.3390/su11051313
Enoguanbhor, E. C., Gollnow, F., Walker, B. B., Nielsen, J. O., & Lakes, T. (2021). Key Challenges for Land Use Planning and its Environmental Assessments in the Abuja City-Region, Nigeria. Land, 10(5), 443. https://doi.org/10.3390/land10050443
Enoguanbhor, E. C., Chukwurah, G. O., Enoguanbhor, E. A., John-Nsa, C. A., Isimah, M. O., Edo, I., Achenui, R., Matemilola, S., Fotang, C., Ijioma, U. D. & Ibrahim, E. S. (2023). Evaluating urban land-use demarcation and implementation for various urban functions using GIS and survey-based data: The case of Abuja City, Nigeria. Town and Regional Planning, 83, 45-56. https://doi.org/10.38140/trp.v83i.7436
Enoguanbhor, E., Enoguanbhor, E., Chukwurah, G., Isimah, M., John-Nsa, C., Oloruntoba, E., Fotang, C., Ngwator, T., Yangni, G., Oladosu, O., & Agunbiade, M. (2024b). Assessment of conformity to demarcated environmentally sensitive areas in land use plans: The case of Abuja, Nigeria. Town and Regional Planning, 84, 58- 71. https://doi.org/10.38140/trp.v84i.7985
Enoguanbhor, E., Enoguanbhor, E., Chukwurah, G., Oloruntoba, E., Edo, I., John-Nsa, C., Fotang, C., Yangni, G., Oladosu, O., Agunbiade, M., Njunda, F., Achenui, R. (2024a). Spatial Interactions of a City-Region Using GIS and Survey-based Data. East African Journal of Interdisciplinary Studies, 7(1), 176- 185. https://doi.org/10.37284/eajis.7.1.2015
Enoguanbhor, E., Gollnow, F., Walker, B., Nielsen, J., & Lakes, T. (2022b). Simulating Urban Land Expansion in the Context of Land Use Planning in the Abuja City-Region, Nigeria. GeoJournal, 87, 1479–1497. https://doi.org/10.1007/s10708-020-10317-x
EO4SD (Earth Observation for Sustainable Development). (2018). Earth Observation for Sustainable Development Urban Project: Dodoma City Report. Dodoma: EO4SD.
FMITI (Federal Ministry of Industry, Trade and Investment). (2015). Resettlement and social audit: Abuja technology village project. Abuja: FMITI.
Fola Consult Ltd. (2011). Federal Capital City: revised land use plan - 2011 phases I, II & III. Abuja: Federal Capital Development Authority.
Gumel, I. A., Aplin, P., Marston, C. G., & Morley, J. (2020). Time-Series Satellite Imagery Demonstrates the Progressive Failure of a City Master Plan to Control Urbanization in Abuja, Nigeria. Remote Sensing, 12, 1112. https://doi.org/10.3390/rs12071112
Harding, A., Marvin, S., & Robson, B. (2006). A Framework for City-Regions. London: ODPM Publications.
Hess, P. (2014). Density, Urban. In A. C. Michalos (Ed.), Encyclopedia of Quality of Life and Well-Being Research (pp. 1554–1557). Dordrecht: Springer. https://doi.org/10.1007/978-94-007-0753-5_698
Idoko, M. A., & Bisong, F. E. (2010). Application of Geo-Information for Evaluation of Land Use Change: A Case Study of Federal Capital Territory-Abuja. Environmental Research Journal, 4(1), 140- 144. http://dx.doi.org/10.3923/erj.2010.140.144
Karimi, A., Delavar, M. R., Mohammadi, M., & Ghadirian, P. (2020). Spatial urban density modelling using the concept of carrying capacity: a case study of Isfahan, Iran. Journal of Urbanism: International Research on Placemaking and Urban Sustainability, 13(4), 489– 512. https://doi.org/10.1080/17549175.2020.1753225
Krehl, A., Siedentop, S., Taubenböck, H., & Wurm, M. (2016). A Comprehensive View on Urban Spatial Structure: Urban Density Patterns of German City Regions. International Journal of Geo-Information, 5(6), 76. https://doi.org/10.3390/ijgi5060076
Lu, D., Weng, Q., Moran, E., Li, G., & Hetrick, S. (2011). Remote Sensing Image Classification. In Q. Weng (Ed.), Advances in Environmental Remote Sensing: Sensors, Algorithms, and Applications (pp. 219-240). Boca Raton: Tailor & Francis Group.
Mohamed, A., & Worku, H. (2020). Simulating urban land use and cover dynamics using cellular automata and Markov chain approach in Addis Ababa and the surrounding. Urban Climate, 31, 100545. https://doi.org/10.1016/j.uclim.2019.100545
Mohamed, A., Worku, H., & Lika, T. (2020). Urban and regional planning approaches for sustainable governance: the case of Addis Ababa and the surrounding area changing landscape. City and Environment Interactions, 100050. https://doi.org/10.1016/j.cacint.2020.100050
Sufiyan, I., Buhari, A. M., Abubakar, U. S., & Ubangari, A. Y. (2015). An Overview of the Functions of Abuja Geographic Information System (AGIS) As a Tool for Monitoring Growth and Development in Abuja Nigeria. Journal of Environmental Science, Toxicology and Food Technology, 9, 17-24. doi:10.9790/2402-091121724
Tope-Ajayi, O. O., Adedeji, O. H., Adeofun, C. O., & Awokola, S. O. (2016). Land Use Change Assessment, Prediction Using Remote Sensing, and GIS Aided Markov Chain Modelling at Eleyele Wetland Area, Nigeria. Journal of Settlements and Spatial Planning, 7(1), 51- 63. https://doi.org/10.19188/06JSSP012016
Tso, B., & Mather, P. M. (2009). Classification methods for remotely sensed data. (Second, Ed.) Boca Raton: CRC Press.
USGS (United States Geological Survey). (2019). USGS science for a changing world. Retrieved 04 02, 2019, from https://earthexplorer.usgs.gov/
Vijayalakshmi, S., Kumar, M., & Arun, M. (2021). Astudy of various classification techniques used for very high-resolution remote sensing [VHRRS] images. Materials Today: Proceedings, 37, 2947–2951. https://doi.org/10.1016/j.matpr.2020.08.703
Xu, C., Jiang, W., Huang, Q., & Wang, Y. (2020). Ecosystem services response to rural-urban transitions in coastal and island cities: A comparison between Shenzhen and Hong Kong, China. Journal of Cleaner Production, 260, 121033. https://doi.org/10.1016/j.jclepro.2020.121033
Xu, G., Dong, T., Cobbinah, P. B., Jiao, L., Sumari, N. S., Chai, B., & Liu, Y. (2019b). Urban expansion and form changes across African cities with a global outlook: Spatiotemporal analysis of urban land densities. Journal of Cleaner Production, 224, 802- 810. https://doi.org/10.1016/j.jclepro.2019.03.276
Xu, G., Jiao, L., Yuan, M., Dong, T., Zhang, B., & Du, C. (2019a). How does urban population density decline over time? An exponential model for Chinese cities with international comparisons. Landscape and Urban Planning, 183, 59- 67. https://doi.org/10.1016/j.landurbplan.2018.11.005
Yang, X. (2010). Integration of Remote Sensing with GIS for Urban Growth Characterization. In B. Jiang, & X. Yao (Eds.), Geospatial Analysis and Modelling of Urban Structure and Dynamics (pp. 223-250). New York: Springer Science+Business Media B.V.
Copyright (c) 2024 Evidence Chinedu Enoguanbhor, PhD, Eveline Aggrey Enoguanbhor, Gladys O. Chukwurah, PhD, Emmanuel Olalekan Oloruntoba, Chioma Agatha John-Nsa, Chefor Fotang, PhD, Ganbobga Njimontam Yangni, Olayinka Amos Oladosu, Michael Bode Agunbiade, Francis Tiatsop Njunda
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