Spatial Interactions of a City-Region Using GIS and Survey-based Data

  • Evidence Chinedu Enoguanbhor, PhD Humboldt University of Berlin
  • Eveline Aggrey Enoguanbhor Brandenburg University of Technology
  • Gladys O. Chukwurah, PhD University of Nigeria
  • Emmanuel Olalekan Oloruntoba Brandenburg University of Technology
  • Iwebuke Edo Brandenburg University of Technology
  • Chioma Agatha John-Nsa University of Nigeria
  • Chefor Fotang, PhD Brandenburg University of Technology
  • Ganbobga Njimontam Yangni Brandenburg University of Technology
  • Olayinka Amos Oladosu Brandenburg University of Technology
  • Michael Bode Agunbiade Brandenburg University of Technology
  • Francis Tiatsop Njunda Brandenburg University of Technology
  • Robert Achenui Brandenburg University of Technology
Keywords: Spatial Interaction, City-Region, Network of Settlements, Sustainable Regional Development, Sub-Saharan Africa, Global South
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Abstract

The concept of spatial interaction deduced from Newton’s first law of motion, which has been extended from interactions between two points of elements e.g., two cities to interactions between other points of other elements in a system, e.g., more than two cities, can be applied to elucidate settlements spatial interaction at the regional scale, particularly a city-region as a system. Elucidating the levels of spatial interactions in city-regions is crucial to support decision-making processes in regional development planning and policies, which in turn contributes to sustainable regional developments if implemented fully. The current study, therefore, combined Geographic Information Systems and survey-based data to evaluate the level of spatial interactions of a city-region as a system to support sustainable regional development planning and policies using the defined Abuja city-region as a case study. Data were collected through a questionnaire survey of residents, land cover maps that were produced using Remote Sensing processes of satellite image classification, and urban and regional land use plans. An integrated analysis was deployed, including descriptive statistics and spatial analysis through extraction, digitization, overlay, clipping, and geometrical calculation processes. Key findings showed that the work location for most residents in satellite settlements is Abuja city. Also, the study showed that while Lugbe, Kubwa, and Old Karu settlements have the highest level of spatial interaction with Abuja city, Kuje and Gwagwalada settlements have the lowest level of spatial interaction. The findings and their associated implications of the current study are useful to support decision-makers in planning and policies for the spatial distribution of urban infrastructures across settlements that make up defined city-regions in Sub-Saharan Africa in particular and in the Global South in general

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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

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 - Albert Speer & Partner GmbH.

Blaxter, L., Hughes, C., & Tight, M. (2001). How to research (Second ed.). Maidenhead: Open University Press, McGraw-Hill Education.

Campbell, J. B., & Wynne, R. H. (2011). Introduction to Remote Sensing (Fifth ed.). New York: The Guilford Press.

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., 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. C., Enoguanbhor, E. A., Chukwurah, G. O., Isimah, M. O., John-Nsa, C. A., Oloruntoba, E. O., Fotang, C., Ngwator, T., Yangni, G. N., Oladosu, O. A. & Agunbiade, M. B. (2024). Assessment of conformity to demarcated environmentally sensitive areas in land use plans: The case of Abuja, Nigeria. Town and Regional Planning, 84, pp. xxx. http://dx.doi.org/10.38140/trp.v83i

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., 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

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

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

Koomen, E., & Stillwell, J. (2007). Modelling Land-Use Change: theories and methods. In E. Koomen, J. Stillwell, A. Bakema, & H. J. Scholten (Eds.), Modelling Land- Use Change: progress and application. Dordrecht: Springer, 1-21

Kothari, C. R. (2004). Research methodology: Methods & Techniques (Second Ed.). New Delhi: New Age International (P) Ltd., Publishers.

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. Boca Raton: Tailor & Francis Group, pp. 219-240.

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

Ohl, C., Johst, K., Meyerhoff, J., Beckenkamp, M., Grusgen, V., & Drechsler, M. (2010). Long- term socio- ecological research (LTSER) for biodiversity protection –A complex systems approach for the study of dynamic human– nature interactions. Ecological Complexity, 7, 170– 178. http://dx.doi.org/10.1016/j.ecocom.2009.10.002

Secor, A. J. (2010). Social Surveys, Interviews, and Focus Groups. In B. Gomez, & J. P. Jones III (Eds.), Research Methods in Geography: A Critical Introduction. West Sussex: Blackwell Publishing Ltd, 194-205.

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). A study 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

Visser, S., & Jones III, J. P. (2010). Descriptive Statistics. In B. Gomez, & J. P. Jones III (Eds.), Research Methods in Geography: A Critical Introduction. West Sussex: Blackwell Publishing Ltd, 279-296.

Wahab, B., Egunjobi, L., & Falola, O. (2014). Regional Planning and Development in Nigeria: An Overview. In B. Wahab, L. Egunjobi, T. Gyuse, & W. Kadiri (Eds.), Regional Planning and Development in Nigeria. Abuja, FCT: Nigerian Institute of Town Planners (NITP) & Town Planners Registration Council of Nigeria (TOPREC), 1-21.

Wang, L.-G., Han, H., & Lai, S.-K. (2014). Do plans contain urban sprawl? A comparison of Beijing and Taipei. Habitat International, 42, 121- 130. https://doi.org/10.1016/j.habitatint.2013.11.001

Published
2 July, 2024
How to Cite
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. (2024). 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