نوع مقاله : مقاله پژوهشی
نویسندگان
1 دانشجوی دکتری تخصصی،گروه محیط زیست،دانشکده علوم و فنون دریایی، واحد، تهران شمال ، دانشگاه آزاد اسلامی، تهران، ایران
2 استاد تمام، گروه مهندسی محیط زیست، دانشکده علوم و فنون دریایی ،واحد تهران شمال، دانشگاه آزاد اسلامی، تهران . ایران(مسئول مکاتبات)
3 استادیار ،گروه مهندسی محیط زیست ، دانشکده علوم و فنون دریایی ، واحد تهران شمال ، دانشگاه آزاد اسلامی، تهران، ایران.
4 استادیار ،گروه مهندسی محیط زیست، دانشکده علوم و فنون دریایی، واحد تهران شمال، دانشگاه آزاد اسلامی، تهران، ایران.
چکیده
کلیدواژه‌ها
موضوعات
Ahern, J. (2013). Urban landscape sustainability and resilience: the promise and challenges of integrating ecology with urban planning and design. Landscape ecology, 28, 1203-1212.
Amato, F., Maimone, B. A., Martellozzo, F., Nolè, G., & Murgante, B. (2016). The effects of urban policies on the development of urban areas. Sustainability, 8(4), 297.
Bajracharya, P., Lippitt, C.D., & Sultana, S. (2020). Modeling urban growth and land cover change in Albuquerque using SLEUTH. The Professional Geographer, 72(2), 181-193.
Bihamta, N., Soffianian, A., Fakheran, S., & Gholamalifard, M. (2015). Using the SLEUTH urban growth model to simulate future urban expansion of the Isfahan metropolitan area, Iran. Indian Society of Remote Sensing, 43, 407-414.
Cui, E., Ren, L., Sun, H. (2015). Evaluation of variations and affecting factors of eco environmental quality during urbanization. Environmental Science and Pollution Research, 22, 3958-3968.
Chaudhuri, G., & Clarke, K. (2013). The SLEUTH land use change model: A review. Environmental Resources Research, 1(1), 88-105.
Clarke, K.C., Hoppen, S., & Gaydos, L. (1997). A Self-Modifying Cellular Automaton Model of Historical Urbanization in the San Francisco Bay Area. Environment and Planning B: Planning and Design, 24, 247–261.
Clarke, K.C. (2008). A decade of cellular urban modeling with SLEUTH: Unresolved issues and problems. Ch, 3, 47-60.
Clarke, K.C. (2018). A Short Presentation of SLEUTH. Springer International Publishing AG 2018, University of California Santa Barbara, USA.
Cobbinah, P.B., Erdiaw-Kwasie, M.O., & Amoateng, P. (2015). Rethinking sustainable development within the framework of poverty and urbanization in developing countries. Environmental. Development, 13, 18e32.
Falah, N., Karimi, A., & Harandi, A.T. (2020). Urban growth modeling using cellular automata model and AHP (case study: Qazvin city). Modeling Earth Systems and Environment, 6, 235-248.
Fanni, Z. (2006). Cities and urbanization in Iran after the Islamic revolution. Cities, 23, 407–411.
Feng, Y., & Qi, Y. (2018). Modeling patterns of land use in Chinese cities using an integrated cellular automata model. Geo-information, 7(10), 403.
Firouznia, G., & Rabbani, M.R. (2013). Analysis of the industry’s role in the Evolution of settlements (Case study: Nazarabad). Physical Social Planning, 1(3), 103-112. (inPersian).
Foroozesh, F., Monavari, S.M., Salmanmahiny, A., Robati, M., & Rahimi, R. (2022). Assessment of sustainable urban development based on a hybrid decision-making approach: Group fuzzy BWM, AHP, and TOPSIS–GIS. Sustain. Cities Soc. 76, 103402.
Gandhi, S.I., & Suresh, V.M. (2012). Prediction of urban sprawl in Hyderabad city using spatial model, remote sensing and GIS techniques geography. Scientific Research, 1(2), 80-82.
Gharaibeh, A., Shaamala, A., Obeidat, R., & Al-Kofahi, S. (2020). Improving land-use change modeling by integrating ANN with Cellular Automata-Markov Chain model. Heliyon, 6(9).
Grimm, N.B., Faeth, S.H., Golubiewski, N.E., Redman, C.L., Wu, J., Bai, X., & Briggs, J.M. (2008). Global change and the ecology of cities. Science, 319(5864), 756-760.
Han, B., Liu, H., & Wang, R. (2015). Urban ecological security assessment for cities in the Beijing–Tianjin–Hebei metropolitan region based on fuzzy and entropy methods. Ecological Modelling, 318, 217-225.
Hosseinali, F., & Alesheikh, A.A. (2013). Assessing Urban Land-Use Expansion in Regional Scale by Developing a Multi-Agent System. Humanities, 20(2), 23-44.
Ibrahim, M., El-Zaart, A., & Adams, C. (2018). Smart sustainable cities roadmap: Readiness for transformation towards urban sustainability. Sustainable Cities and Society, 37, 530–540.
Jahanishakib, F., & Erfani, M. (2021). Simulation of Urban Land Use Growth Scenarios Using the Cellular Automata Method of SLEUTH. Journal of Environmental Studies, 47(3), 245-266. (inPersian).
Jat, M.K., Choudhary, M., & Saxena, A. (2017). Urban growth assessment and prediction using RS, GIS and SLEUTH model for a heterogeneous urban fringe. The Egyptian Journal of Remote Sensing and Space Science, 20(2), 223-241.
Kumar, V., & Agrawal, S. (2023). Urban modelling and forecasting of landuse using SLEUTH model. Environmental Science and Technology, 20(6), 6499-6518.
Liu, Y., Li, L., Chen, L., Cheng, L., Zhou, X., Cui, Y., ... & Liu, W. (2019). Urban growth simulation in different scenarios using the SLEUTH model: A case study of Hefei, East China. PLoS One, 14(11), e0224998.
Liu, D., Clarke, K. C., & Chen, N. (2020). Integrating spatial nonstationarity into SLEUTH for urban growth modeling: A case study in the Wuhan metropolitan area. Computers, Environment and Urban Systems, 84, 101545.
Lu, T., Man-chu, L., & Yong-xue, L. (2009). Study of urban expansion simulation on the condition of ecological environment protection: A case study in Dianchi Basin in Kunming. Urban Remote Sensing Joint Event. Shanghai, China.
Mahiny, A. S., & Clarke, K. C. (2012). Guiding SLEUTH land-use/land-cover change modeling using multicriteria evaluation: towards dynamic sustainable land-use planning. Environment and planning B: planning and design, 39(5), 925-944.
Mahmoudzadeh, H., Vahedi Aghjea, A., & Herischian, M. (2019). Application of Scenario Based SLEUTH Model for Urban Growth Simulation (Case Study: Tabriz Metropolitan Area). Geographical Urban Planning Research (GUPR), 7(3), 553-580. (inPersian).
Malik, A., & Abdalla, R. (2017). Agent-based modelling for urban sprawl in the region of Waterloo, Ontario, Canada. Modeling earth systems and environment, 3, 1-9.
Man, X., & Chen, Y. (2020). Fractal-based modeling and spatial analysis of urban form and growth: A case study of Shenzhen in China. Geo-Information, 9(11), 672.
Rafiee, R., Salman Mahini, A., Khorasani, N., Darvishsefat, A., and Danekar, A. (2009). Simulating Urban
Growth in Mashhad City, Iran Throuth the SLEUTH Model. Cities, 26, 19- 26.
Sakieh, Y., Salmanmahiny, A., Jafarnezhad, J., Mehri, A., Kamyab, H., & Galdavi, S. (2015). Evaluating the strategy of decentralized urban land-use planning in a developing region. Land use policy, 48, 534-551.
Saxena, A., & Jat, M.K. (2020). Analysing performance of SLEUTH model calibration using brute force and genetic algorithm–based methods. Geocarto International, 35(3), 256-279.
Shafizadeh, H., Valavi, R., Asghari, A., Minaei, M., & Murayama, Y. (2022). On the spatiotemporal generalization of machine learning and ensemble models for simulating built‐up land expansion. Transactions in GIS, 26(2), 1080-1097.
UNDESA. (2012). World Urbanization Prospects: the 2011 Revision. United Nations, New York.
Wu, J. (2014). Urban ecology and sustainability: The state-of-the-science and future directions. Landscape and urban planning, 125, 209-221.
Yao, L., Liu, J., Wang, R., Yin, K., & Han, B. (2015). A qualitative network model for understanding regional metabolism in the context of Social–Economic–Natural Complex Ecosystem theory. Ecological informatics, 26, 29-34.
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