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شبیه سازی تغییرات آتی کاربری زمین بر اساس الگوی بهینۀ اکولوژیک در مجموعۀ شهری مشهد | ||
| پژوهش‌های جغرافیای برنامه‌ریزی شهری | ||
| مقاله 6، دوره 3، شماره 3، مهر 1394، صفحه 343-359 اصل مقاله (847.06 K) | ||
| نوع مقاله: پژوهشی - کاربردی | ||
| شناسه دیجیتال (DOI): 10.22059/jurbangeo.2015.55887 | ||
| نویسندگان | ||
| هاشم داداش پور* 1؛ نریمان جهانزاد2 | ||
| 1استادیار برنامه‌ریزی شهری و منطقه‌ای، دانشکدۀ هنر و معماری، دانشگاه تربیت مدرس، تهران، ایران | ||
| 2کارشناس ارشد برنامه‌ریزی منطقه‌ای، دانشگاه تربیت مدرس، تهران، ایران | ||
| چکیده | ||
| در چند دهۀ اخیر برنامه‌ریزان با مسئلۀ جدیدی به نام پراکنده‌رویی مواجه شده‌اند. برای مقابله با این مشکل راه‌حل‌های گوناگونی ارائه شده است. یکی از اصلی‌ترین راه‌ها، اتخاذ رویکردی اکولوژیک در کاربری زمین و استفادۀ درست از منابع طبیعی است. منطقۀ کلان‌شهری مشهد از بی‌تعادلی فضایی، پراکنده‌رویی و تمرکز شدید در مرکز مجموعه و کریدور مشهد- چناران رنج می‌برد که این امر به نوبۀ خود موجد پدیدار شدن نابرابری‌های اجتماعی و اقتصادی در منطقه شده است. به همین خاطر، ضروری است که به اشکال دیگر توسعۀ فضایی در این منطقه توجه شود. در این تحقیق با ابتنا بر همین رویکرد، تلاش می‌شود ابتدا الگوی بهینه‌ای برای نحوۀ استفاده از اراضی بر مبنای رویکرد اکولوژیک ترسیم شود. سپس با استفاده از این الگو و با مدل سلولی خودکار (CA) و شبکۀ عصبی مصنوعی (ANN) سه سناریوی 1. توسعۀ اکولوژیک رادیکال، 2. توسعۀ اکولوژیک معتدل و 3. تداوم توسعۀ وضع موجود برای سال 1405 ترسیم می‌گردد. نتایج تحقیق نشان داد که مجموعۀ شهری مشهد ظرفیت چندانی برای توسعه ندارد و در مجموع قریب به 630 کیلومتر مربع از اراضی آن به لحاظ اکولوژیک قابلیت توسعه دارد. در سناریوی اول، ضمن حفظ بخش زیادی از اراضی سبز، مساحت توسعۀ شبیه‌سازی‌شده برای سال 1405، 659 کیلومترمربع محاسبه شد. در سناریوی دوم، مساحت 735 کیلومترمربع به زیر توسعه خواهد رفت و در نهایت، سناریوی سوم که بر اساس تداوم رشد وضع موجود شبیه‌سازی شد، منجر به شکل گرفتن 775 کیلومترمربع اراضی توسعه‌یافته و نابودی 210 کیلومترمربع اراضی کشاورزی خواهد شد. تداوم رشد وضع موجود آثار و پیامدهای جبران‌ناپذیری در منطقه خواهد داشت. از این حیث ضرورت دارد سیستم برنامه‌ریزی به جد نسبت به نحوۀ کنترل توسعۀ شهری در مجموعۀ شهری توجه کند. | ||
| کلیدواژه‌ها | ||
| الگوی بهینه؛ توسعۀ پایدار؛ سلول‌های خودکار؛ شبکۀ عصبی مصنوعی | ||
| عنوان مقاله [English] | ||
| Simulation of Future Land Use Changes Based on an Ecological Optimal Pattern in Mashhad Metropolitan Area | ||
| نویسندگان [English] | ||
| Hashem Dadashpoor1؛ Nariman Jahanzad2 | ||
| 1Assistant Professor, Urban and Regional Planning, Tarbiat Modares University, Iran | ||
| 2M.A., Urban and Regional Planning, Tarbiat Modares University, Iran | ||
| چکیده [English] | ||
| Introduction In the years before industrial revolution in Europe, cities had mono-centric characteristic. After industrial revolution, cities changed and transformed from mono-centric configuration into poly-centric structure. At this moment theoretical concerns about cities had emerged. During 1920s and 1950s various theories came into the scene, describing cities as static entities. In 1960s and 1970s som cities in northern America gradually experienced a different growth and new dynamic states. After that in 1980s and 1990s, by appearing the new form of physical growth of cities, new problems and challenges had come into existence. Urban sprawl is one of the most important problems nowadays in metropolitan areas. It seems that the core of urban planning is land-use. There are lots of strategies and solutions for this problem. One of the solutions is ecological land-use strategy. There are also lots of descriptive and prescriptive models in this field, intelligent models such as CA, ANN etc. Mashhad Metropolitan area with more than 3000000 populations is in terms of extent the second metropolitan area in Iran. This area because of its significant border situation plays an important role in national development of the whole country. This significant role is why it should be considered as the pole of national-regional development. The area has solely more than 75 percent of the population of Mashhad as well as about 90 percent of the added value of that region. The explanatory indices used in this area indicate an intensified imbalance and centralization of capital and power in the area. The logical consequence of this imbalance have led to urban sprawl and increasing accumulation of capital and power. This sprawl have had several consequences such as demolition of green and agriculture lands, land speculation, increasing environmental pollutions, ecological damages and mismatch of the developed land with the natural potentials of those lands. Thus, it is necessary to have an ecological criterion for judgment of the urban and rural settlements in the area. Methodology This study is carried out in two parts. In the first part, an optimal land use pattern based on ecological principals will be formulated. In the second part, the output of the formulated results of the first part will be used as spatial criteria in order to simulate future land use changes based on the ecological output. To do so, a CA model will be associated with ANN algorithm. For this purpose, we’ll draw three different growth scenarios for 2026: 1. The objective of this part is initially by virtue of theoretical studies and fieldwork to identify appropriate ecological indices for urban and rural development; secondly an optimal land-use pattern will be produced by using AHP model based on each of aforementioned indices. Finally, by overlying all those patterns the final optimal land-use pattern will be generated. 2. In the second part, by using aerial photos of the years 1996 and 2011, we will identify the land use changes. In the next stage, the ecological layers produced in the first part will enter into the model and will be used as spatial variable. By using cellular automat and artificial neural network algorithm three growth scenarios will be simulated. Brief explanation of the function of the model is as follow: (1) production of land use/ cover layers for the years 1996 and 2011; (2) use of ecological pattern as spatial variable and a direction for simulation for the two first scenarios in the one hand, and use of Euclidean distance from important settlements and major roads for the third scenario on the other hand; (3) creation of land use change matrix; (4) modeling of future changes potential; and (5) simulation of land use change for the year 2026 for each scenarios, i.e., radical ecological growth scenario, mild ecological growth and uncontrolled growth. Results and Discussion The results of the ecological pattern show that there are ten deciles. As we move from early deciles to tenth deciles we find more appropriate sites for development. The tenth decile is the existing settlements in the area. One of the results of this study is that the best and the ideal way of developing are infill development and maximum use of the existing developed lands. However, the first till fourth deciles are extremely bad sites for development. The fifth and sixth ones are not well enough but more appropriate compared with the former ones. The seventh and eighth are fairly appropriate. In the second part, based on the ecological pattern and Euclidean distances of roads and settlements three scenarios will be simulated for 2026. In the first scenario, the amount of built areas is at the lowest, and is equal to 659 km2. In the second scenario, 735 km2 will be developed and according to this scenario parts of agriculture lands will be degraded. In the third scenario, 775 km2 will be developed which is in opposition to optimal ecological pattern. Conclusion The study draws three growth scenarios for 2026. The first one was a radical ecological growth based on the ninth and tenth deciles of the ecological pattern. The second one was a mild ecological growth based on the seventh till tenth deciles of the ecological pattern. Finally, the third scenario was an uncontrolled growth. The results show that the first scenario will retain the most portions of the green lands and is an endogenous growth. The second scenario is a mild one. Although it permits certain parts of green lands to be degraded, it is an acceptable model. In this scenario, some major nodes and some secondary ones will be presented. The third scenario (business as usual) is uncontrolled growth that will ruin lots of green lands. This can be concluded that continuation of the existing growth will lead to irreparable consequences in the area. Environmental crises such as water crisis, air pollution and pressure on infrastructure will lead to human crises like riots, crimes and vandalism. Thus, it is necessary that planning system consider reasonable growth. | ||
| کلیدواژه‌ها [English] | ||
| Artificial Neural Network, cellular automata, optimal pattern, Sustainable Development | ||
| مراجع | ||
|
مخدوم، مجید؛ (1380). شالودۀ آمایش سرزمین، چاپ اول، انتشارات دانشگاه تهران، تهران.
Muller, B.; (2001). German Annual of Spatial Research and Policy, Springer, Berlin.
Thorns, D.; (2002). The Transformation of Cities, Palgrave, London.
De roo, G., Porter, G., Fuzzy Planning the Role of Actors in a Fuzzy Governance Environment, Ashgate, Hampshire.
Maciocco, G. (2008) Fundamental Trends in city Development, Springer, Berlin.
Xo, j., Yeh, A.; (2011). Govarnance and Planning of Mega city-Regions, Routledge, London and New York.
Grant, J.; (2007). Planing the Good Community, Routledge, London and New York.
Portugali, J., Meyer, H., Stolk, E.; (2012) Complexity Theories of Cities Have Come of Age, Springer , Berlin.
Poryugali, J.; (2011) Complexity, Cognition and the City, Springer, Berlin.
Vale, L., Capanella, T.; (2005). the Resilient City: How Modern Cities Recover From Disaster, Oxford University Press, London.
McGinnis, M.; (1999). Bioregionalism, Routledge, London and NewYork
Liu, Y.; (2009). Modelling Urban Development with Geographical Information Systems and Cellular Automata,CRC press, London.
Salet, W., Thornley, A., Kreukles, A.; (2003). Metropolitan Governance and Spatial Planning, Spon Press, London and NewYork.
Wheeler, S.; (2004) Planning For Sustainability, Routledge, London and NewYork.
Hall, P., Pain, K.; (2006). The Polycentric Metropolis: Learning from Mega City-Regions in Europe, Earthscan, London.
Healey, P.; (2007). Urban Complexity and Spatial Strategies, Routledge, London and NewYork.
Colding, Johan.; (2007). Ecological Land-use Complementation for Building Resilience in Urban Ecosystems, Landscape and Urban Planning, 81, 46-55.
Ying, Zhang., Hongqi, Zhang., Dongying, Ni., Wei, Song.; (2012). Agricultural Land Use Optimal Allocation System in Developing Area: Application to Yili Watershed, Xinjiang Region,22, 232-244.
Moffat,I.; (1994). On Measuring Sustainable Development Indicators, World Ecology, 1, 97-209.
Lane, Murray, (2010). The carrying capacity imperative: Assessing regional carrying capacity methodologies for sustainable land-use planning, Land Use Policy, 27, 1038-1045.
Jing-an, Shao., Chao-Fu, Wei., De-ti, Xie., (2005). Sustainable Land Use Planning Based on Ecological Health, Chinese Geographical Science,15, 137-144.
Zarei, Abdullah, Dadashpour, Hashem, (2015). Determining of The Optimal Land use Allocation Pattern in Nowshahr County, Northen Iran,Springer, published Online.
Jianzho, Gong., Yansui, Liu., Wenli, Chen., (2012). Optimal Land-use allocation of Urban Fringe in Guangzho, Geography Science, 22, 179-191.
Kavaliauskas, Pailius, (2008). A conceptual Sustainable Development for Regional Land Use Planning: Lithuanian Experience,Technological and Economical Development of Economy, 14, 51-63.
Senes, Giulio., Toccolini, Alessandro., (1998). Sustainable land use Planning in protected Rural Area in Italy, Landscape and Urban Planning,41, 107-117.
Boggia, Anthonia., Cortina, Carla., (2010). Measuring sustainable Development using a multiple-criteria: A case Study, Journal Of Environmental Management, 91, 2301-2306.
Chen, Yunhao, Li, Xiabing, Su, Wei., (2007). Simulating the optimal land-use Pattern in the Farming-Pastoral Transitional Zone of Northern China, Computers Envoronment and Urban Systems, 32, 407-414.
Liu, Gubin., Zhou, Ping., (2009). The change in Values for Ecological Footprint indices Following land-use change in a Loess Plateau watershed in China, Environment earth science, 59 , 529-536.
Nijkamp, Peter., Oltmer, Kar, (2005). Issus in Land use Evaluation, an Economic Perspective on Agri-Environmental policy, Gestao & Regionalidade magazibe, 18,64-78.
Lapping, M., (2005). Sprawl: Contemporary Land Use Planning’s Paradigm, In Goetz, S., Shortle, J., Bergstrom, J., 2005, Land Use Problems and Conflicts, Routledge, London and NewYork. | ||
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