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Al-sharif, A.A. and Pradhan, B. (2014) Monitoring and Predicting Land Use Change in Tripoli Metropolitan City Using an Integrated Markov Chain and Cellular Automata Models in GIS. Arabian journal of geosciences, 7, 4291-4301. https://doi.org/10.1007/s12517-013-1119-7

has been cited by the following article:

• TITLE: Application of Land Use Change and Prediction in Urban Planning Evaluation and Formulation

  AUTHORS: Huipeng Liao, Mixuan Liu, Huagui He, Weijun Yang, Liang Guo, Yang Liu, Keyun Chen, Zhaoxia Chen

  KEYWORDS: Land Use/Land Cover Change, Urban Expansion Simulation, Urban Planning

  JOURNAL NAME: Journal of Computer and Communications, Vol.9 No.6, June 30, 2021

  ABSTRACT: The study monitored land use change in Nansha during 2000-2018, evaluate Nansha’s urban planning by the overlay analysis of land use general planning, land use distribution, and economic data, and predicted the urban expansion in 2025 and 2035 to provide scientific information for urban planning in the future. The results showed that the built-up area rapidly expanded (78.32 km2 to 153.75 km2 in 2000-2018), and the GDP and the newly-added enterprises remarkably increased as well. Most of built-up area matched the land use planning. The urban expansion was simulated to 168.27 km2 in 2025 and to 207.04 km2 in 2035 for future land use planning.