Prediction Future Urban Growth and its Impact on the Land Use Using Urban Simulation Models  (Greater Irbid Municipality Case Study)

Reem  AL Kharouf; Qasem  Dweikat; Aseel  Aldbaisi

doi:10.35516/hum.v49i1.1663

Authors

Reem AL Kharouf Yarmouk University
Qasem Dweikat Yarmouk University
Aseel Aldbaisi Yarmouk University

DOI:

https://doi.org/10.35516/hum.v49i1.1663

Keywords:

Forecasting, Urban growth, cellular automation, Urban simulation models, Greater Irbid Municipality, Land Use Sim

Abstract

The study aims to predict urban growth and its impact on agricultural use and open space in the Greater Municipality of Irbid. The study relied on the urban simulation model, and cellular automation LandUse Sim. The model was tested in two scenarios; the first scenario assumed that: the Greater Municipality of Irbid allowed users to change the land use of Agricultural land to urban. As for the second scenario, assumed that the municipality prevented users from changing the use of agricultural land to urbanuse. The study found that the urban use area increased in the first scenario by 10.7%, while in the second scenario, the urban land area increased by 7.5%. The study recommended the application of strict planning laws that prevent urban growth at the expense of agricultural landsin order to maintain agricultural capabilities.

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References

Allen, J. S., Lu, K. S., & Potts, T. D. (1999). A GIS-based analysis and prediction of parcel land-use change in a coastal tourism destination area. Strom Thurmond Institute.‏

Al-shalabi, M., Billa, L., Pradhan, B., Mansor, S., & Al-Sharif, A. A. (2013). Modelling urban growth evolution and land-use changes using GIS based cellular automata and SLEUTH models: the case of Sana’a metropolitan city, Yemen. Environmental earth sciences, 70(1), 425-437.‏

Batty, M., Xie, Y., & Sun, Z. (1999).Modeling urban dynamics through GIS-based cellular automata. Computers, environment and urban systems, 23(3), 205-233.‏

Defries ,R.S., Rudel, T.., Uriarte, M., Hansen, M. (2010) Deforestation driven by urban population growth and agricultural trade in the twenty-first century. Nat Geosci 3.1038.178–181.

Emerson, W., & Anderson, J. (1989).A spatial allocation model for the New England fisheries. Marine Resource Economics, 6(2), 123-144.‏

Gharbia, S.S; Gill,L., Johnston ,P., Pilla, F. (2016b) .Using GIS based algorithms for GCMs’ performance evaluation. In: 18th IEEE editerranean electrotechnical conference MELECON 2016. IEEE, Cyprus

GharbiaS, Alfatah,S;Gill, L;Johnston,P;Pilla,F.(2015). Land use scenarios and projections simulation using an integrated GIS cellular automata algorithms. Springer. 2. 151. 1-20

Herold ,M., Goldstein, N.C; Clarke, K.C. (2003). The spatiotemporal form of urban growth: measurement, analysis and modeling. Remote Sens Environ 86,286–302

Lambin E.F. (1997) .Modelling and monitoring land-cover change processes in tropical regions. Prog Phys Geogr 21:375–393

Li ,X;Yeh ,AG-O .(2000) .Modelling sustainable urban development by the integration of constrained cellular automata and GIS. Int J Geogr Inf Sci 14,131–152

Linke, S. (2008) .Local level application of the dynamic land use model METRONAMICA: Assessment and modeling, A case study on the Dutch municipality Weert, Diploma thesis, Institute of landscape architecture and environmental planning, Technical university Berlin, Germany

Liu ,K.H; Kam, B.H .(2005). A cellular automata model for urban land-use simulation. Environ Plan. 32,247–263

Mandelas.E.A, Hatzichristos.T, P. Prastacos, A fuzzy cellular automata based shell for modeling urban growth–a pilot application in Mesogia area, in: 10th AGILE International Conference on Geographic Information Science, Aalborg University, Denmark, 2007, 1–9.

Molina, E. (2014). Modeling urban growth and flood interaction with cellular automata in Kampala, Uganda, PhD dissertation, Faculty of geo-information science and earth observation, University of Twente, Enchede, The Netherlands.

Pijanowski B,C; Brown ,D.G; Shellito ,B.A; Manik ,G.A. (2002). Using neural networks and GIS to forecast land use changes: a land transformation model. Comput Environ Urban Syst .26,553–575

Pratomoatmojo, nursaktiadhi,(2018). Land use scenarios and projections simulation using integrated GIS cellular algorithms. Citation and DOI.202.10.1-12.

Sadewo, M. N. & Buchori, I. (n.d.) Simulasi Perubahan Penggunaan Lahan Akibat Pembangunan Kawasan Industri Kendal (KIK) Berbasis Cellular Automata. Majalah Geografi Indonesia, 32(2), 142-154.‏

Wang, F. (2012). A cellular automata model to stimulate land-use changes at fine spatial resolution, PhD dissertation, Department of geomatics engineering, University of Calgary, Alberta, Canada.

Youssef, A. M., Pradhan, B., & Tarabees, E. (2011). Integrated evaluation of urban development suitability based on remote sensing and GIS techniques: contribution from the analytic hierarchy process. Arabian Journal of Geosciences, 4(3-4), 463-473.‏

Arabic References Translated to English

Al Basri, N. (2018). Babylon University Journal of Engineering Sciences. The importance of urban modeling in understanding functional change of urban land uses. 26 (69),10-95

Al-Anqari, K. (1986). Remote Sensing and its Applications in Spatial Studies,Mars Publishing House, Riyadh, Saudi Arabia.

Al-Dulaimi, K. and Al-Hiti, Th. (2018).“Urban Land Strategies”, Amman: Dar Al-Safa for Publishing and Distribution.

Al-Gharaybeh, K.(2008). Urban encroachment on agricultural lands in Irbid Governorate - (Effects, Results and Proposed Solutions), University of Sharjah Journal of Humanities and Social Sciences. 5. 2.

Al-Gharaybeh, K. (1995). Spatial analysis of services in the city of Irbid (administrative, educational, health and recreational). Unpublished PhD thesis, Department of Geography, University of Baghdad, Baghdad.

Al-Khasawneh, I. (2011). Sustainable Urbanization, Case Study, Greater Irbid Municipality, Unpublished Master Thesis, Department of Architecture Engineering, Jordan University of Science and Technology, Jordan

Al-Nimr, A. (2019). Interview with the official in the planning department, Greater Irbid Municipality.

Ayasrah, R. (2017). Land suitability analysis based on the multiple criteria evaluation method: an applied study using geographic information systems on the Greater Amman area in the Hashemite Kingdom of Jordan. Journal Architecture & Planning, 29 (2).

Beauty, R. (2017). An interview with the Gis department official, Greater Irbid Municipality, 9/14/2017

Bou Salem, Y. and Al-Houri, I. and Al-Jarrah, A. and Al-Koufahi, S. (2005). “Yearbook: Greater Irbid Municipality” Irbid: As-Safir Press

Description, (2017). Retrieved at http://www.land use Sim.com.

vertex.daac.asf.alaska.edu; earthexplorer.usgs.gov.