Research Article

GIS-based land suitability analysis using AHP for urban facilities provision in Minna

1 Department of Urban and Regional Planning, Federal University of Technology, Minna, Niger State
2 Department of Architecture Faculty of Architecture Kaduna State University, Kaduna State, Nigeria
3 Department of Geography and Environmental Management, University of Abuja, Abuja
* Corresponding author: umaruet@kesj.org.ng
Published: Dec, 2020
Pages: 109-122
Views: 56
Downloads: 22

Abstract

Uncontrolled development, inter-urban migration and rural-urban migration in contemporary cities are major cause of urbansprawl and city decay, infrastructural deterioration, loss of open spaces, and lose of environmental quality. These scenariosput pressure on available facilities which results in overstretch of these facilities and consequent collapse. Minna city isidentified with these urban problems. Adequate facilities provision in urban areas is vital in the comfort of life of urbandwellers, and as a matter of fact promotes urban grown and identity of a city. The study aims at evaluating the urban landsuitability for the provision of facilities. In attempt to achieve the stated aim, the existing land use pattern of Minna wereexamined with the use of GIS and remote sensing, the spatial information of the study area were obtained as regards to theslope and topographical elevation of Minna area from satellite images and digital elevation maps, the land suitability wasevaluated through the AHP method using set of criteria involving geophysical which are: Land use/land cover, elevation, slopeand rock. Results of this study revealed that Minna is expanding uncontrollably to the fringe. It was also discovered that thecity core areas are more served with adequate facilities than the peripheral areas and geographical factors also affect facilitydelivery It shows that Minna can be divided into four suitable categories of suitability zones. The findings further reveal thatthe highly suitable and medium suitable areas for urban growth covers about 82% of the whole area, while low and poorlysuitable areas cover about 16% of the whole area. Based on findings from the study, development in Minna city is expandingto the fringes, hence the need for provision of more facilities in these areas. Government and planning agencies should keeptrack of urban growth of the city. Proper development control policies should be put in place to guide development and tocheck urban sprawl.

References

  1. Aburas, M. M., Abdullah, S. H., Ramli, M. F., & Hanan, Z. (2015). A review of land suitability analysis for urban growth by using the GIS-Based Analytic Hierarchy Process. Asian Journal of Applied Sciences, 6(3), 869–876.
  2. Duranton,G. and D. Puga (2004) 'Micro-foundations of urban agglomeration economies'. In V. Henderson and J. Thisse (eds) Handbook of Regional and Urban Economics. Volume 4. Amsterdam: North-Holland, pp. 2063–117.
  3. Graymore, M. L. M., Wallis, A. M., & Richards, A. J. (2009). An index of regional sustainability: A GIS-based multiple criteria analysis support system for progressing sustainability. Ecological Complexity, 6(4), 453–462. https://doi.org/10.1016/j.ecocom.2009.08.006
  4. Harker, P.T. and Vargas, L.G. (1987) The theory of ratio scale estimation: saaty's Analytic Hierarchy Process. Management Science, 33, 1383-1403. http://dx.doi.org/10.1287/mnsc.33.11.1383
  5. Hopkins, L.D., 1977. Methods for generating land suitability maps: a comparativeevaluation. J. Am. Inst. Plan. 43 (4), 386s400.
  6. Javadnia, M., Shamsoshoaki, L., Momeni, M., 2011. Application of sustainable urbandevelopment in environmental suitability analysis of educational land use byusing AHP and GIS in Tehran. Procedia Eng. 21, 72s80.
  7. Liu, Y. (1998). Visualisation the urban development of Sydney (1971–1996) in GIS. In Proceedings of 10th colloquium of the spatial information research centre, University of Otago, New Zealand, 16–19 November.
  8. Malczewski, J. (2004). GIS-based land-use suitability analysis: a critical overview. Progress in Planning Journal. https://doi.org/10.1016/j.progress.2003.09.002
  9. Mustapha, O-O., Akintunde, O., Alaga, A., Badru, R., Ogbeide, J., Samuel, P. & Sumail, S. (2016). Spatial distribution of primary schools in Ilorin West Local Government Area, Kwara State, Nigeria. Journal of Scientific Research and Reports, 9(6), 1–10. https://doi.org/10.9734/jsrr/2016/22128
  10. Parry, B., C. Campbell, S. & Sultan Bhat, M. (2018). GIS based land suitability analysis using AHP model for urban services planning in Srinagar and Jammu urban centers of J&K, India. Journal of Urban Management, 7(2), 46–56. https://doi.org/10.1016/j.jum.2018.05.002
  11. Renzhili, Li Ke Zhang, Zhijiao Zhang, Alistair G.L. Borthwick (2014) Land-use suitability analysis for urban development in Beijin. Journal of Environmental Management 145 (4) 170-179.
  12. Rikalovic, A. Ilja Cosic, Djordje Lazarevic (2013) GIS based multi-criteria analysis for industrial site selection. In: Proceedings of 24th DAAAM International Symposium on Intelligent Manufacturing and Automation. Procedia Engineering 69 ( 2013 ) 1054 – 1063
  13. Saaty, T. L. (1980). The analytic hierarchy process. New York: McGraw-Hill.
  14. Saaty, T. L. (2007). Time dependent decision-making; dynamic priorities in the AHP/ANP: Generalizing from points to functions and from real to complex variables. Mathematical and Computer Modelling, 46, 860–891.
  15. Sayed, Marwa Adel El (2017), Land suitability analysis as multi-criteria decision making to support the Egyptian urban development: International Journal on: Proceedings of Science and Technology: DOI: 10.21625/resourceseings.v1i1.178
  16. Sepideh Saeidi, Marjan Mohammad, zadeh Abdolraissoul, Salman mahiny, Seyed Hamed Mirkarimi (2017): Performance evaluation of multiple methods for landscape aesthetic suitability mapping: A comparative study between Multi-Criteria Evaluation, Logistic Regression and Multi-Layer Perceptron neural network. Land Use Policy 67, 1-12
  17. Shukla, A., Kumar, V. and Jain, K. (2017) Site suitability evaluation for urban development using remote sensing, GIS and analytic hierarchy process (AHP). In: Proceedings of International Conference on Computer Vision and Image Processing, Springer Science+Business Media, Singapore, 377-388.
  18. Umrika, B. N. (2013). Multi Criteria approach for analysis of Land Suitability for Urban Expansion. 117, 170–176.
  19. Yeo, I.A. & Yee, J.J., 2014. A proposal for a site location planning model of environmentally friendly urban energy supply plants using an environment and energy geographical information system (E-GIS) database (DB) and an artificial neural network (ANN). Applied Energy, 119, pp.99–117.
  20. Zabihi M., Pourghasemi H.R., Motevalli A., Zakeri M.A. (2019) Gully erosion modeling using GIS-based data mining techniques in Northern Iran: A comparison between boosted regression tree and multivariate adaptive regression Spline. In: Pourghasemi H., Rossi M. (eds) Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques. Advances in Natural and Technological Hazards Research, vol 48. Springer, Cham.
  21. Zemba, A. A., Kefas, J., & Hamza, A. (2018). Land suitability analysis for decision-making in cassava (Manihot Spp.) cultivation in southern part of Adamawa State, Nigeria. Global Journal of Agricultural Sciences, 16(1), 1. https://doi.org/10.4314/gjass.v16i1.1
How to Cite

T., U. E., OJOBO, H., Osagie, E. N., & Henry, C. (2020). GIS-based land suitability analysis using AHP for urban facilities provision in Minna. Kaduna State University Environmental Sciences Journal, 1(2), 109-122. https://doi.org/10.66884/kesj.2020.vodkdrg5

U. E. T., H. OJOBO, E. N. Osagie, and C. Henry, "GIS-based land suitability analysis using AHP for urban facilities provision in Minna," Kaduna State University Environmental Sciences Journal, vol. 1, no. 2, pp. 109-122, December 2020. doi: 10.66884/kesj.2020.vodkdrg5

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