A Review of Simulation Urban Growth Model

  • Authors

    • Feri Nugroho
    • Omar Ismael Al-Sanjary
    • . .
    2018-10-02
    https://doi.org/10.14419/ijet.v7i4.11.20681
  • Urban Growth, Geographic Information System, Simulation, Modeling.

  • Abstract

    Urban development has become a problem in many cities, especially in developing countries. The availability of areas for development is needed to deal with rapid population growth and urbanization. The purpose of this study was to identify urban growth models. Due to urban growth planning, the city will be more manageable and organized. From the conclusions of urban modeling identification can provide an idea of what model is appropriate for use in urban growth studies. The results of this urban growth model identification could be a reference in urban growth modeling in better urban planning.

     

     

  • References

    1. [1] M. K. Jat, M. Choudhary, and A. Saxena, “Application of geo-spatial techniques and cellular automata for modelling urban growth of a heterogeneous urban fringe,†Egypt. J. Remote Sens. Sp. Sci., 20(2), 223–241, 2017.

      [2] M. M. Aburas, Y. M. Ho, M. F. Ramli, and Z. H. Ash’aari, “Improving the capability of an integrated CA-Markov model to simulate spatio-temporal urban growth trends using an Analytical Hierarchy Process and Frequency Ratio,†Int. J. Appl. Earth Obs. Geoinf., 59, 65–78, 2017.

      [3] K. S. Kumar, K. P. Kumari, and P. U. Bhaskar, “Application of Markov Chain & Cellular Automata based model for prediction of Urban transitions,†Proceedings of the Int. Conf. Electr. Electron. Optim. Tech., pp. 4007–4012, 2016.

      [4] M. Ai-Ageili, M. Mouhoub, and J. Piwowar, “Integrating remote sensing, GIS and dynamic models: Cellular automata approach for the simulation of urban growth for the city of Montreal,†Proceedings of the Can. Conf. Electr. Comput. Eng., pp. 1–6, 2013.

      [5] K. Abutaleb and F. Ahmed, “Modeling of urban change using remote sensing data and cellular automata technique,†Arab. J. Geosci., 9(15), 1–10, 2016.

      [6] M. Jafari, H. Majedi, S. Monavari, A. Alesheikh, and M. Kheirkhah Zarkesh, “Dynamic simulation of urban expansion based on cellular automata and logistic regression model: Case study of the Hyrcanian Region of Iran,†Sustainability, 8(8), 1-18, 2016.

      [7] A. Siddiqui, A. Siddiqui, S. Maithani, A. K. Jha, P. Kumar, and S. K. Srivastav, “Urban growth dynamics of an Indian metropolitan using CA Markov and Logistic Regression,†Egypt. J. Remote Sens. Sp. Sci., 2017, 1-8, 2017.

      [8] T. Munshi, M. Zuidgeest, M. Brussel, and M. van Maarseveen, “Logistic regression and cellular automata-based modelling of retail, commercial and residential development in the city of Ahmedabad, India,†Cities, 39, 68–86, 2014.

      [9] S. Saeedi, “Integrating macro and micro scale approaches in the agent-based modeling of residential dynamics,†Int. J. Appl. Earth Obs. Geoinf., 68, 214–229, 2018.

      [10] S. T. Lee, C. W. Wu, and T. C. Lei, “CA-GIS model for dynamic simulation of commercial activity development by the combination of ANN and Bayesian probability,†Procedia Comput. Sci., 18, 651–660, 2013.

      [11] H. Dadashpoor and M. Nateghi, “Simulating spatial pattern of urban growth using GIS-based SLEUTH model: A case study of eastern corridor of Tehran metropolitan region, Iran,†Environ. Dev. Sustain., 19(2), 527–547, 2017.

      [12] D. Triantakonstantis and G. Mountrakis, “Urban growth prediction: A review of computational models and human perceptions,†2012, 555–587, 2012.

      [13] B. Bhatta, Analysis of Urban Growth and Sprawl from Remote Sensing Data. Springer, 2010.

      [14] X. Liu, L. Ma, X. Li, B. Ai, S. Li, and Z. He, “Simulating urban growth by integrating landscape expansion index (LEI) and cellular automata,†Int. J. Geogr. Inf. Sci., 28(1), 148–163, 2014.

      [15] A. El Garouani, D. J. Mulla, S. El Garouani, and J. Knight, “Analysis of urban growth and sprawl from remote sensing data: Case of Fez, Morocco,†Int. J. Sustain. Built Environ., 6(1), 160–169, 2017.

      [16] M. Kindu, T. Schneider, M. Döllerer, D. Teketay, and T. Knoke, “Scenario modelling of land use/land cover changes in Munessa-Shashemene landscape of the Ethiopian highlands,†Sci. Total Environ., 622–623, 534–546, 2018.

      [17] H. Shafizadeh-Moghadam, A. Asghari, M. Taleai, M. Helbich, and A. Tayyebi, “Sensitivity analysis and accuracy assessment of the land transformation model using cellular automata,†GIScience Remote Sens., 54(5), 639–656, 2017.

      [18] K. R. Dahal and T. E. Chow, “An agent-integrated irregular automata model of urban land-use dynamics,†Int. J. Geogr. Inf. Sci., 28(11), 2281–2303, 2014.

      [19] A. A. A. Al-sharif and B. Pradhan, “Monitoring and predicting land use change in Tripoli Metropolitan City using an integrated Markov chain and cellular automata models in GIS,†Arab. J. Geosci., 7(10), 4291–4301, 2014.

      [20] L. Chen and W. Nuo, “Dynamic simulation of land use changes in Port City: A case study of Dalian, China,†Procedia - Soc. Behav. Sci., 96, 981–992, 2013.

      [21] Y. Liu, Y. Hu, S. Long, L. Liu, and X. Liu, “Analysis of the effectiveness of urban land-use-change models based on the measurement of spatio-temporal, dynamic urban growth: A cellular automata case study,†Sustain., 9(5), 1–15, 2017.

      [22] I. M. I. M. Brunner, “Prediction of Urban Growth Using the Bucket Model,†Procedia - Soc. Behav. Sci., 227, 3–10, 2016.

      [23] S. Şalap-Ayça, P. Jankowski, K. C. Clarke, P. C. Kyriakidis, and A. Nara, “A meta-modeling approach for spatio-temporal uncertainty and sensitivity analysis: An application for a cellular automata-based Urban growth and land-use change model,†Int. J. Geogr. Inf. Sci., 32(4), 637–662, 2018.

      [24] F. Yao, C. Hao, and J. Zhang, “Simulating urban growth processes by integrating cellular automata model and artificial optimization in Binhai New Area of Tianjin, China,†Geocarto Int., 31(6), 612–627, 2016.

      [25] X. Li, X. Liu, and L. Yu, “A systematic sensitivity analysis of constrained cellular automata model for urban growth simulation based on different transition rules,†Int. J. Geogr. Inf. Sci., 28(7), 1317–1335, 2014.

      [26] Y. Zhou, Ye, F. Zhang, Z. Du, X. Ye, and R. Liu, "Integrating cellular automata with the deep belief network for simulating urban growth," Sustainability, 9(10), 1-19, 2017.

      [27] N. Pinto, A. P. Antunes, and J. Roca, “Applicability and calibration of an irregular cellular automata model for land use change,†Comput. Environ. Urban Syst., 65, 93–102, 2017.

      [28] M. Jafari, H. Majedi, S. M. Monavari, A. A. Alesheikh, and M. K. Zarkesh, “Dynamic simulation of urban expansion through a CA-markov model case study: Hyrcanian region, Gilan, Iran,†Eur. J. Remote Sens., 49, 513–529, 2016.

      [29] C. A. Ku, “Incorporating spatial regression model into cellular automata for simulating land use change,†Appl. Geogr., 69, 1–9, 2016.

      [30] X. Li, P. Gong, L. Yu, and T. Hu, “A segment derived patch-based logistic cellular automata for urban growth modeling with heuristic rules,†Comput. Environ. Urban Syst., 65, 140–149, 2017.

      [31] X. Zhang, X. Lin, and S. Zhu, “Modeling urban growth by cellular automata: A case study of Xiamen City, China,†Proceedings of the IEEE 10th International Conference on Computer Science and Education, pp. 645–650, 2015.

      [32] Y. Sakieh, B. J. Amiri, A. Danekar, J. Feghhi, and S. Dezhkam, “Simulating urban expansion and scenario prediction using a cellular automata urban growth model, SLEUTH, through a case study of Karaj City, Iran,†J. Hous. Built Environ., 30(4), 591–611, 2015.

      [33] N. Bihamta, A. Soffianian, S. Fakheran, and M. Gholamalifard, “Using the SLEUTH urban growth model to simulate future urban expansion of the Isfahan Metropolitan Area, Iran,†J. Indian Soc. Remote Sens., 43(2), 407–414, 2015.

      [34] K. C. Clarke, “A decade of cellular urban modeling with SLEUTH: Unresolved issues and problems,†in R. K. Brail, (Ed.), Planning Support Systems for Cities and Regions. Massachusetts: Lincoln Institute of Land Policy, pp. 47–60, 2008.

      [35] H. Yin, F. Kong, Y. Hu, P. James, F. Xu, and L. Yu, “Assessing growth scenarios for their landscape ecological security impact using the SLEUTH urban growth model,†J. Urban Plan. Dev., 142(2), 1-13, 2016.

      [36] M. Al-shalabi, L. Billa, B. Pradhan, S. Mansor, and A. A. A. Al-Sharif, “Modelling urban growth evolution and land-use changes using GIS based cellular automata and SLEUTH models: The case of Sana’a metropolitan city, Yemen,†Environ. Earth Sci., 70(1), 425–437, 2013.

      [37] Y. Liang and L. Liu, “Modeling urban growth in the middle basin of the Heihe River, northwest China,†Landsc. Ecol., 29(10), 1725–1739, 2014.

      [38] G. Grekousis, Y. N. Photis, and G. Grekousis, “Analyzing High-Risk Emergency Areas with GIS and Neural Networks: The Case Networks: The case of Athens , Greece,†The Professional Geographer, 66(1), 37–41, 2014.

      [39] G. Grekousis, P. Manetos, and Y. N. Photis, “Modeling urban evolution using neural networks, fuzzy logic and GIS: The case of the Athens metropolitan area,†Cities, 30(1), 193–203, 2013.

      [40] A. D. Aarthi and L. Gnanappazham, “Urban growth prediction using neural network coupled agents-based Cellular Automata model for Sriperumbudur Taluk, Tamil Nadu, India,†Egypt. J. Remote Sens. Sp. Sci., 2018, 1-10, 2018.

      [41] S. I. Musa, M. Hashim, and M. N. Reba, “A review of geospatial-based urban growth models and modelling initiatives,†Geocarto International, 32(8), 813-833, 2017.

      [42] [42] E. Pérez-Molina, R. Sliuzas, J. Flacke, and V. Jetten, “Developing a cellular automata model of urban growth to inform spatial policy for flood mitigation: A case study in Kampala, Uganda,†Comput. Environ. Urban Syst., 65, 53–65, 2017.

      [43] M. Azari, A. Tayyebi, M. Helbich, and M. A. Reveshty, “Integrating cellular automata, artificial neural network, and fuzzy set theory to simulate threatened orchards: Application to Maragheh, Iran,†GIScience Remote Sens., 53(2), 183–205, 2016.

      [44] X. Fu, X. Wang, and Y. J. Yang, “Deriving suitability factors for CA-Markov land use simulation model based on local historical data,†J. Environ. Manage., 206, 10–19, 2018.

      [45] M. Aljoufiea, M. Brussel, M. Zuidgeest, and M. van Maarseveen, “Urban growth and transport infrastructure interaction in Jeddah between 1980 and 2007,†Int. J. Appl. Earth Obs. Geoinf., 21(1), 493–505, 2012.

      [46] H. Shafizadeh-Moghadam, A. Tayyebi, and M. Helbich, “Transition index maps for urban growth simulation: Application of artificial neural networks, weight of evidence and fuzzy multi-criteria evaluation,†Environ. Monit. Assess., 189(6), 1-14, 2017.

      [47] K. Marko, F. Zulkarnain, and E. Kusratmoko, “Coupling of Markov chains and cellular automata spatial models to predict land cover changes (Case study: Upper Ci Leungsi catchment area),†IOP Conf. Ser. Earth Environ. Sci., 47(1), 2016.

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  • How to Cite

    Nugroho, F., Ismael Al-Sanjary, O., & ., . (2018). A Review of Simulation Urban Growth Model. International Journal of Engineering & Technology, 7(4.11), 17-23. https://doi.org/10.14419/ijet.v7i4.11.20681

    Received date: 2018-10-01

    Accepted date: 2018-10-01

    Published date: 2018-10-02