مدلسازی تخصیص و پهنه‏بندی اراضی شهری با استفاده از سیستم پویای تصمیم‏یار مکانی (DSDSS) با رویکرد ارزیابی تلفیقی مکانی (DISA) بر اساس شاخصهای زیست‏محیطی در مناطق شهری (مطالعه موردی: شهر چادگان)

الموضوعات :

آرزو معظمی ¹ , جمال قدوسی ² , علی اصغر آل شیخ ³ , سعید سلطانی ⁴

1 - دکتری مدیریت محیط زیست، دانشکده منابع طبیعی و محیط زیست، دانشگاه آزاد اسلامی، واحد علوم و تحقیقات تهران .
2 - استادیار دانشکده منابع طبیعی و محیط زیست، دانشگاه آزاد اسلامی، واحد علوم و تحقیقات تهران. * (مسوول مکاتبات)
3 - استاد رشته سیستم اطلاعات جغرافیایی، دانشگاه صنعتی خواجه نصیر الدین طوسی تهران.
4 - استاد رشته آبخیزداری دانشکده منابع طبیعی، دانشگاه صنعتی اصفهان.

تاريخ الإرسال : 02 الأحد , رجب, 1442 تاريخ التأكيد : 17 السبت , شوال, 1442 تاريخ الإصدار : 04 الخميس , ذو الحجة, 1444

الکلمات المفتاحية: مدل‏سازی مناطق شهری, آمایش و پهنه‏بندی اراضی شهری, تخصیص اراضی,

ملخص المقالة :

زمینه و هدف: امروزه در خصوص توسعه مناطق شهری و استفاده از اراضی در آنها دو اختلاف نظر و برخورد رویکردی شامل روند و شدت تغییر کاربری اراضی و تغییرات حفاظ روی زمین مطرح است که تبیین کننده خصوصیات و ویژگی های رشد و گسترش شهرها و پایداری زیست محیطی آنها می باشد. روند فعلی رشد و گسترش مناطق شهری و مسکونی و تغییرات منطقه ای و ناحیه ای ناشی از آن بعنوان یکی از چالش های اصلی برای تعریف راهبردهای توسعه ای در مناطق شهری مطرح و معرفی شده است. روش بررسی: امروزه دستیابی به روش های مناسب اندازه گیری و ارزیابی و برنامه ریزی در کلیه سطوح و مرتبط با آن در مناطق شهری، مورد حمایت و پشتیبانی مدیران در مناطق شهری می باشد. اگر چه در مدل ها و روش های موجود برای آمایش سرزمین و تخصیص اراضی برای کاربری های مختلف عواملی مانند موقعیت مکانی و طبیعی، خصوصیات زیست محیطی، اکولوژیکی، ادافیکی، شرایط اجتماعی، فرهنگی، اقتصادی و حتی سیاسی منظور شده و مورد توجه قرار گرفته اند اما ملاحظه می شود که در برخی از آنها مانند مدل های CLUE-S و AEZ، تنها به تغییر کاربری اراضی از جمله کشاورزی و اراضی مرتعی و جنگلی، توجه گردیده است.به طوری که در حال حاضر اختلاف نظرهادر خصوص مباحث مرتبط با آمایش مناطق شهری در رابطه با تخصیص اراضی، رخدادهای تحقیقاتی در زمینه استفاده از اراضی در قالب اصول و مفاهیم آمایش سرزمین بیش از پیش مورد تاکید و توجه قرار گرفته است. یافته ها: در تحقیق حاضر با هدف مدل سازی تخصیص و پهنه بندی اراضی شهری در قالب مطالعه موردی در شهر چادگان واقع در استان اصفهان اقدام به مدل سازی با استفاده از تلفیق روش های مدل سازی مکانی وتصمیم گیری چندمشخصه ای با روش های کارت امتیازی متوازن و تولید پاک در محیط سیستم های اطلاعات جغرافیائی شده است. بحث و نتیجه گیری: خروجی حاصل از تحقیق ارائه مدل توصیفی مبتنی بر امتیاز دهی به شاخص های 22 گانه مربوط به 4 معیار یا مؤلفه اجتماعی،زیست محیطی، اکولوژیکی و اقتصادی است. به نحوی که با شناسایی خصوصیات و ویژگیهای هریک از مؤلفه ها وتهیه نقشه های موضوعی مربوط به آنها مبتنی بر امتیاز یا نمره هریک از شاخص های 22 گانه در محیط سیستم های اطلاعات جغرافیائی می توان اقدام به تخصیص و پهنه بندی اراضی شهری در 4 وضعیت شامل نا مطلوب، نسبتاً مطلوب، مطلوب و بسیار مطلوب بر اساس نوع کاربرهای مورد نظر در مناطق شهری نمود.

المصادر:

1. Teymouri, Asghar. Meshkini, Abolfazl 2013. Measuring urban sprawl and its impact on land use change using RS and GIS during the period 1363 - 1391 (Case study: Karaj). Utopia architecture and urban planning. No. 17. pp. 385-375. (In Persian)


2. Annual report 2010 and Environmental statement 2011. (2011). European Environment Agency Kongens Nytorv 6. 1050 Copenhagen K Denmark. http:// eea.europa.eu/enquiries.


3. Hosseini, Maryam. Karimi, Mohammad Mesgari, Mohammad Saadi Heydari, Mehdi 2016. Design and implementation of an integrated model of urban land use change modeling. Geographical sciences. Volume 16, Number 40. (In Persian)


4. Cerreta and P. De Toro, (2010), Urbanization suitability maps: a dynamic spatial decision support system for sustainable land useM. University of Naples "Federico II", Naples, Italy, 1, 4.


5. Dadashpour, Hashem. Rafieian, Mojtaba. Zarei, Abdullah 2014. Modeling land use change in the metropolis of Tehran using the MOLAND model. Regional planning. Volume 4, Number 16. (In Persian)


6. Elena G. Irwin, Jacqueline Geoghegan, (2001), Theory, data, methods: developing spatially explicit economic models of land use change,Agriculture, Ecosystems and Environment, 85, 7-23.


7. Elias, P. Dekolo, S.&Babatola, O, (2012), Land use Change Modelling in Developing Countries: Issues and Prospects. International Journal of Geography and Geology, 1(1), 23.


8. Rabbani Kia, Elham. 1392. Investigation of spatial pattern of sports uses and design of optimal urban location model using GIS and FAHP (Case study: Shahr-e-Sabzevar). Master Thesis. Faculty of Physical Education and Sports Sciences. Mazandaran University. (In Persian)


9. Rasooli, Marzieh. Haghizadeh, Ali. Zeinvand, Hossein and Ildermi, Alireza, 2014, Evaluation of the effect of land use change on outflow runoff simulation using artificial neural network (MLP) model, Journal of Water and Sustainable Development, First Year, No. 2, pp. 74-65. (In Persian)


10. Qudusi, Jamal. 2016. Textbook of Statistics Application in HSE. Azad University. Tehran Science and Research Branch. Faculty of Environment and Energy. (In Persian)


11. Units of Beigi. Poorahmad, Saif al-Dini. Leila, Ahmad Frank, 2011, The Effect of Physical Development of Tehran on Land Use Change in Region 5, Scientific-Research Quarterly of New Trends in Human Geography, Fourth Year, Issue 1, Winter. Pp. 29 - 46. (In Persian)


12. Yi-Chun, Lien. Hui-Pang, Tzeng. Gwo-Hshiung, (2010), Measures an evaluation for environment watershed plans using a novel hybrid MCDM model, Expert Systems with Applications, 37, 926–938.


13. Murray Lane, (2010), The carrying capacity imperative: Assessing regional carrying capacity methodologies for sustainable land-use planning, Land Use Policy, 27,1038–1045.


14. Jacek, (2004), GIS-based land-use suitability analysis: a critical Overview, Progress in Planning, 62, 3-65.


15. Malhotra, A. (2013). Towards an information systems perspective and research agenda on crowdsourcing for innovation. The Journal of Strategic Information Systems, 22(4), 257—268.


16. Mediha Burcu Silaydin Aydin, Duygu Çukur, (2012),Maintaining the carbon–oxygen balance in residential areas: A method proposal for land use planning, Urban Forestry & Urban Greening, 11, 87-94.


17. Consulting engineers of Yazd Ecological Ecology, 2012, rules and regulations of the city development plan and Falavarjan area of ​​influence, Ministry of Roads and Urban Development, General Department of Roads and Urban Development of Isfahan Province. (In Persian)


18. Tuzkaya, G., Semih O nut, Umut R. Tuzkaya and Bahadır Gulsun. (2007). An analytic network process approach for locating undesirable facilities: An example from Istanbul, Turkey, Journal of Environmental Management, Elsevier, 14.


19. Nikpour, Amer. Saif al-Dini, Frank. Poorahmad, Ahmad 1388. Survey of land use in the central part of Amol city. Human Geography Research, No. 67. pp. 16-1. (In Persian)


20. Agrell per. j, Stam.Antonie, Fischer.Günther. W, (2004), Interactive multiobjective agro-ecological land use planning: The Bungoma region in Kenya, European Journal of Operational Research, 158,194-217.

 

 

 

 

 

 

1. Teymouri, Asghar. Meshkini, Abolfazl 2013. Measuring urban sprawl and its impact on land use change using RS and GIS during the period 1363 - 1391 (Case study: Karaj). Utopia architecture and urban planning. No. 17. pp. 385-375. (In Persian)


2. Annual report 2010 and Environmental statement 2011. (2011). European Environment Agency Kongens Nytorv 6. 1050 Copenhagen K Denmark. http:// eea.europa.eu/enquiries.


3. Hosseini, Maryam. Karimi, Mohammad Mesgari, Mohammad Saadi Heydari, Mehdi 2016. Design and implementation of an integrated model of urban land use change modeling. Geographical sciences. Volume 16, Number 40. (In Persian)


4. Cerreta and P. De Toro, (2010), Urbanization suitability maps: a dynamic spatial decision support system for sustainable land useM. University of Naples "Federico II", Naples, Italy, 1, 4.


5. Dadashpour, Hashem. Rafieian, Mojtaba. Zarei, Abdullah 2014. Modeling land use change in the metropolis of Tehran using the MOLAND model. Regional planning. Volume 4, Number 16. (In Persian)


6. Elena G. Irwin, Jacqueline Geoghegan, (2001), Theory, data, methods: developing spatially explicit economic models of land use change,Agriculture, Ecosystems and Environment, 85, 7-23.


7. Elias, P. Dekolo, S.&Babatola, O, (2012), Land use Change Modelling in Developing Countries: Issues and Prospects. International Journal of Geography and Geology, 1(1), 23.


8. Rabbani Kia, Elham. 1392. Investigation of spatial pattern of sports uses and design of optimal urban location model using GIS and FAHP (Case study: Shahr-e-Sabzevar). Master Thesis. Faculty of Physical Education and Sports Sciences. Mazandaran University. (In Persian)


9. Rasooli, Marzieh. Haghizadeh, Ali. Zeinvand, Hossein and Ildermi, Alireza, 2014, Evaluation of the effect of land use change on outflow runoff simulation using artificial neural network (MLP) model, Journal of Water and Sustainable Development, First Year, No. 2, pp. 74-65. (In Persian)


10. Qudusi, Jamal. 2016. Textbook of Statistics Application in HSE. Azad University. Tehran Science and Research Branch. Faculty of Environment and Energy. (In Persian)


11. Units of Beigi. Poorahmad, Saif al-Dini. Leila, Ahmad Frank, 2011, The Effect of Physical Development of Tehran on Land Use Change in Region 5, Scientific-Research Quarterly of New Trends in Human Geography, Fourth Year, Issue 1, Winter. Pp. 29 - 46. (In Persian)


12. Yi-Chun, Lien. Hui-Pang, Tzeng. Gwo-Hshiung, (2010), Measures an evaluation for environment watershed plans using a novel hybrid MCDM model, Expert Systems with Applications, 37, 926–938.


13. Murray Lane, (2010), The carrying capacity imperative: Assessing regional carrying capacity methodologies for sustainable land-use planning, Land Use Policy, 27,1038–1045.


14. Jacek, (2004), GIS-based land-use suitability analysis: a critical Overview, Progress in Planning, 62, 3-65.


15. Malhotra, A. (2013). Towards an information systems perspective and research agenda on crowdsourcing for innovation. The Journal of Strategic Information Systems, 22(4), 257—268.


16. Mediha Burcu Silaydin Aydin, Duygu Çukur, (2012),Maintaining the carbon–oxygen balance in residential areas: A method proposal for land use planning, Urban Forestry & Urban Greening, 11, 87-94.


17. Consulting engineers of Yazd Ecological Ecology, 2012, rules and regulations of the city development plan and Falavarjan area of ​​influence, Ministry of Roads and Urban Development, General Department of Roads and Urban Development of Isfahan Province. (In Persian)


18. Tuzkaya, G., Semih O nut, Umut R. Tuzkaya and Bahadır Gulsun. (2007). An analytic network process approach for locating undesirable facilities: An example from Istanbul, Turkey, Journal of Environmental Management, Elsevier, 14.


19. Nikpour, Amer. Saif al-Dini, Frank. Poorahmad, Ahmad 1388. Survey of land use in the central part of Amol city. Human Geography Research, No. 67. pp. 16-1. (In Persian)


20. Agrell per. j, Stam.Antonie, Fischer.Günther. W, (2004), Interactive multiobjective agro-ecological land use planning: The Bungoma region in Kenya, European Journal of Operational Research, 158,194-217.

 

 

1. Teymouri, Asghar. Meshkini, Abolfazl 2013. Measuring urban sprawl and its impact on land use change using RS and GIS during the period 1363 - 1391 (Case study: Karaj). Utopia architecture and urban planning. No. 17. pp. 385-375. (In Persian)


2. Annual report 2010 and Environmental statement 2011. (2011). European Environment Agency Kongens Nytorv 6. 1050 Copenhagen K Denmark. http:// eea.europa.eu/enquiries.


3. Hosseini, Maryam. Karimi, Mohammad Mesgari, Mohammad Saadi Heydari, Mehdi 2016. Design and implementation of an integrated model of urban land use change modeling. Geographical sciences. Volume 16, Number 40. (In Persian)


4. Cerreta and P. De Toro, (2010), Urbanization suitability maps: a dynamic spatial decision support system for sustainable land useM. University of Naples "Federico II", Naples, Italy, 1, 4.


5. Dadashpour, Hashem. Rafieian, Mojtaba. Zarei, Abdullah 2014. Modeling land use change in the metropolis of Tehran using the MOLAND model. Regional planning. Volume 4, Number 16. (In Persian)


6. Elena G. Irwin, Jacqueline Geoghegan, (2001), Theory, data, methods: developing spatially explicit economic models of land use change,Agriculture, Ecosystems and Environment, 85, 7-23.


7. Elias, P. Dekolo, S.&Babatola, O, (2012), Land use Change Modelling in Developing Countries: Issues and Prospects. International Journal of Geography and Geology, 1(1), 23.


8. Rabbani Kia, Elham. 1392. Investigation of spatial pattern of sports uses and design of optimal urban location model using GIS and FAHP (Case study: Shahr-e-Sabzevar). Master Thesis. Faculty of Physical Education and Sports Sciences. Mazandaran University. (In Persian)


9. Rasooli, Marzieh. Haghizadeh, Ali. Zeinvand, Hossein and Ildermi, Alireza, 2014, Evaluation of the effect of land use change on outflow runoff simulation using artificial neural network (MLP) model, Journal of Water and Sustainable Development, First Year, No. 2, pp. 74-65. (In Persian)


10. Qudusi, Jamal. 2016. Textbook of Statistics Application in HSE. Azad University. Tehran Science and Research Branch. Faculty of Environment and Energy. (In Persian)


11. Units of Beigi. Poorahmad, Saif al-Dini. Leila, Ahmad Frank, 2011, The Effect of Physical Development of Tehran on Land Use Change in Region 5, Scientific-Research Quarterly of New Trends in Human Geography, Fourth Year, Issue 1, Winter. Pp. 29 - 46. (In Persian)


12. Yi-Chun, Lien. Hui-Pang, Tzeng. Gwo-Hshiung, (2010), Measures an evaluation for environment watershed plans using a novel hybrid MCDM model, Expert Systems with Applications, 37, 926–938.


13. Murray Lane, (2010), The carrying capacity imperative: Assessing regional carrying capacity methodologies for sustainable land-use planning, Land Use Policy, 27,1038–1045.


14. Jacek, (2004), GIS-based land-use suitability analysis: a critical Overview, Progress in Planning, 62, 3-65.


15. Malhotra, A. (2013). Towards an information systems perspective and research agenda on crowdsourcing for innovation. The Journal of Strategic Information Systems, 22(4), 257—268.


16. Mediha Burcu Silaydin Aydin, Duygu Çukur, (2012),Maintaining the carbon–oxygen balance in residential areas: A method proposal for land use planning, Urban Forestry & Urban Greening, 11, 87-94.


17. Consulting engineers of Yazd Ecological Ecology, 2012, rules and regulations of the city development plan and Falavarjan area of ​​influence, Ministry of Roads and Urban Development, General Department of Roads and Urban Development of Isfahan Province. (In Persian)


18. Tuzkaya, G., Semih O nut, Umut R. Tuzkaya and Bahadır Gulsun. (2007). An analytic network process approach for locating undesirable facilities: An example from Istanbul, Turkey, Journal of Environmental Management, Elsevier, 14.


19. Nikpour, Amer. Saif al-Dini, Frank. Poorahmad, Ahmad 1388. Survey of land use in the central part of Amol city. Human Geography Research, No. 67. pp. 16-1. (In Persian)


20. Agrell per. j, Stam.Antonie, Fischer.Günther. W, (2004), Interactive multiobjective agro-ecological land use planning: The Bungoma region in Kenya, European Journal of Operational Research, 158,194-217.