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)

محورهای موضوعی : مدیریت محیط زیست

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.

تاریخ دریافت : 1399/11/26 تاریخ پذیرش : 1400/03/08 تاریخ انتشار : 1402/04/01

کلید واژه: مدل‏سازی مناطق شهری, آمایش و پهنه‏بندی اراضی شهری, تخصیص اراضی,

چکیده مقاله :

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.

چکیده انگلیسی:

Background and Objective: Today, there are two differences of opinion and approach review including the trend and intensity of land use change and land protection changes regarding the development of urban areas and the use of land, which explain the characteristics of the growth and expansion of cities and their environmental sustainability. The current trend of growth and development of urban and residential areas and the resulting regional changes have been proposed and introduced as one of the main challenges to define development strategies in urban areas. Material and Methodology:  Today, achieving appropriate methods of measurement and evaluation and planning at all levels is supported by managers in urban areas. Although different factors such as location and natural, environmental, ecological, edaphic characteristics, social, cultural, economic and even political conditions are taken into consideration in the existing models and methods for land preparation and land allocation for different uses, it can be stated that in some of them, such as CLUE-S and AEZ models, only the change of land use, including agriculture, pasture and forest lands, has been considered. Now, the arguments about the planning of urban areas in relation to land allocation, research events in the field of land use in the form of principles and concepts of land planning have been more emphasized. Finding: The present study aimed to model the allocation and zoning of urban land in the form of a case study in the city of Chadegan, located in Isfahan province, and also the modeling was performed using the integration of spatial modeling methods and multi-attribute decision making with balanced score card methods and clean production in the environment of geographic information systems. Discussion and Conclusion: The result of the research presented a descriptive model based on scoring 22 indicators related to 4 social, environmental, ecological and economic criteria or components. Thus, by identifying the features and attributes of each of the components and preparing thematic maps related to them based on the scores of each of the 22 indicators in the environment of geographic information systems, it is possible to allocate and zone urban lands in 4 situations including unfavorable, relatively favorable, favorable and highly favorable according to the type of users in urban areas.  

منابع و مأخذ:

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.