:: Volume 19, Issue 65 (6-2019) ::
جغرافیایی 2019, 19(65): 71-90 Back to browse issues page
Simulation and prediction of spatio-temporal changes of urban land use by means of CA-Markov model
Mehdi Saadat novin * 1, Ahmad reza Ebrahimipoor , Farzam Khosravi
Abstract:   (3669 Views)
Development of urban construction and ever-increasing growth of population lead to land use changes especially in agricultural lands which play an important role in providing human food. According to this issue, a proper land use planning is required to protecting and preserving the valuable agricultural lands and environment, in today’s world. One of the ways that can be useful to planning is simulation and prediction of land use change according to effective parameters in changes of the land use over the time. In this study, changes in land use of Bojnourd city (The capital city of North Khorasan province), were considered and studied. In this regard, the CA-Markov model was used. The land use maps of two different periods of time were used to calibrate the models and for validate the model, the “Validate” method (which is a statistical method to validate models). Examination of the output maps which are obtained by CA-Markov model, shows that the most growth in land use is in the built up areas. In 1400, the built up areas would grow 5.3% compared to 1388 and in subsequent periods the growth rate would be 3.5% on average.
Keywords: Simulation, Markov chain, Multicriteria evaluation, Analytic hierarchy process, Urban Landuse
Full-Text [PDF 1298 kb]   (854 Downloads)    
Type of Study: Applicable | Subject: Special
Received: 2015/06/17 | Accepted: 2017/01/17 | Published: 2019/06/15
References
1. Alizadeh, A., (2006), "Principles of applied hydrology", Mashad: Astan Ghods Razavi Publication.
2. Eastman, J. R., (2006), "IDRISI tutorial", Clark Labs, Clark University, ]on line[: http://www.clarklabs.org.
3. Feng, Y., Liu, Y., Tong, X., Liu, M., Deng, S., (2011), "Modeling dynamic urban growth using cellular automata and particle swarm optimization rules", Landscape and Urban Planning, 102: 188- 196. [DOI:10.1016/j.landurbplan.2011.04.004]
4. Guan, D., Li, H., Inohaec, T., Sud,W., Nagaiec, T., Hokao, K., (2011), "Modeling urban land use change by the integration of cellular automaton and Markov model", Ecological Modelling, 222: 3761-3772. [DOI:10.1016/j.ecolmodel.2011.09.009]
5. Hosein Zadeh Dalir, K., Hoshyar, H., (2006), "Factors and elements affecting the physical development of Iranian cities", Geography Magazine and Regional Development, 6: 14-30.
6. Khammar, G. A., Heydari, A., (2014), "Evaluation of smart city development pattern in new iranian cities with emphasis on sadra's new city using SLEUTH model", Journal of Geographical Space, 35: 253-270.
7. Khoshgoftar, A. A., Talea, M., Malek pour, P., (2010), "Spatio-temporal modelling of urban growth: method based on combination of cellular automata and markov chain", Geomatic congress 2010, Tehran, surveying organization. https://www.civilica.com/Paper-GEO89-GEO89_183.html.
8. Kiani, A., (2004), "Simulation and evaluation of the efficiency of smart and cellular automata sensors in physical usage analysis of city hyper map, Case Study: Tehran Metropolis", PhD Thesis faculty of Geography and Urban Planning, Tarbiat Modares University.
9. Liu, X., Li, X., Shi, X., Wu, Sh., liu, T, (2008), "Simulating complex urban development using Kernel-based non Linear cellular automata", Ecological Modelling, 211 (1-2): 169-181. [DOI:10.1016/j.ecolmodel.2007.08.024]
10. Malczewski, J., (1998), "GIS and multicriteria decision analysis", translated by Parhizkar, A., Ghafari Gilandeh, A., Tehran, Samt Publication.
11. Mitsova, D., Shuster, W., Wang, X., (2011), "A cellular automata model of land cover change to integrate urban growth with open space conservation", Landscape and Urban Planning, 99: 141-153. [DOI:10.1016/j.landurbplan.2010.10.001]
12. Mosivand, M, A., Ghorbani, A., keyvan Behjoo, F., (2016), "Study of land use change and land cover using Landsat images: Case study, Khalkhal city", Journal of Geographical Space, 60: 101-116.
13. Stevens, D., Dragicevic, S., Rothley, K., (2007), "A GIS-CA modelling tool for urban planning and decision making ", Environmental Modelling & Software, 22: 761e773. [DOI:10.1016/j.envsoft.2006.02.004]
14. Wu, Q., Li, H., Wang, R., Paulussen, J., He, Y., Wang, M., Wang, B., Wang, Z., (2006), "Monitoring and predicting land use change in Beijing using remote sensing and GIS", Landscape and Urban Planning, 78: 322-333. [DOI:10.1016/j.landurbplan.2005.10.002]
15. Zhang, Q., Ban, Y., Liu, J., Hub, Y., (2011), "Simulation and analysis of urban growth scenarios for the Greater Shanghai Area, China", Computers, Environment and Urban Systems, 35: 126-139. [DOI:10.1016/j.compenvurbsys.2010.12.002]


XML   Persian Abstract   Print



Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 19, Issue 65 (6-2019) Back to browse issues page