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  • ارزیابی پایداری ژئومورفولوژی شهری جهت برنامه‌ریزی و مدیریت توسعه شهر (مطالعه موردی: یزد)

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عنوان URL للمقالة


رقم المقالة : 13780 زيارة : 224 الصفحة: 155 - 168

10.22034/jest.2018.13780

نوع المخطوط: ابحاث

ارزیابی پایداری ژئومورفولوژی شهری جهت برنامه‌ریزی و مدیریت توسعه شهر (مطالعه موردی: یزد)

الموضوعات :

آمنه السادات پوریه 1 , نعمت ا... خراسانی 2 , فرهاد حسین زاده لطفی 3 , پروین فرشچی 4

1 - دکتری محیط‌زیست، دانشکده منابع طبیعی و محیط زیست، دانشگاه آزاد اسلامی واحد علوم و تحقیقات تهران، ایران.
2 - استاد گروه علوم محیط‌زیست، دانشکده منابع طبیعی و محیط زیست، دانشگاه آزاد اسلامی واحد علوم و تحقیقات تهران، ایران* (مسوول مکاتبات).
3 - استاد گروه ریاضی، دانشکده ریاضی، دانشگاه آزاد اسلامی واحد علوم و تحقیقات تهران، ایران.
4 - استادیار گروه علوم محیط‌زیست، دانشکده منابع طبیعی و محیط زیست، دانشگاه آزاد اسلامی واحد علوم و تحقیقات تهران، ایران.

تاريخ الإرسال : 05 السبت , صفر, 1438 تاريخ التأكيد : 01 الثلاثاء , جمادى الثانية, 1438 تاريخ الإصدار : 14 الخميس , رجب, 1440

الکلمات المفتاحية: ارزیابی پایداری, توسعه شهر, ژئومورفولوژی, تحلیل پوششی داده‌ها, یزد,

ملخص المقالة :

چکیده زمینه و هدف: عوارض و پدیده‌های طبیعی در مکان گزینی، رشد و توسعه فیزیکی شهرها اثر قاطعی دارند. پدیده‌های طبیعی گاه به‌عنوان عوامل مثبت و گاه به‌عنوان عوامل منفی و بازدارنده عمل می‌کنند. هدف اصلی پژوهش حاضر، شناخت ویژگی‌های ژئومورفولوژیکی و تعیین پایداری ژئومورفولوژی شهر یزد با استفاده از مدل تحلیل پوشش داده‌ها است. روش بررسی: برای نیل به این اهداف، ابتدا شاخص‌های ژئومورفولوژیک مؤثر بر رشد شهر یزد در طی 30 سال (92-1363) که شامل ارتفاع، شیب، جهت، زمین‌شناسی، مورفولوژی و واحد اراضی است شناسایی و سپس با استفاده پرسش نامه اهمیت آن‌ها در توسعه شهر مشخص گردید. در تطبیق بامطالعه حاضر، مدل تحلیل پوششی دادها طرح گردیده و کارایی واحدها با استفاده از نرم‌افزار GAMS محاسبه و واحدهای کارا شناخته شد. جهت تعیین کاراترین واحد از مدل اندرسون- پترسون بهره گرفته شد. یافته‌ها: بر طبق مدل تحلیل پوششی دادها در طی سال‌های موردمطالعه (92-1363)، حدود 16% توسعه شهر یزد کاملاً کارا است. به عبارتی سال‌های 1364، 1365، 1384، 1388 و 1392 همواره کارایی صد در صد داشته‌اند و موقعیت شهر یزد در سال 1365 بر اساس شاخص‌های ژئومورفولوژی به‌عنوان پایدارترین واحد شناخته شد و با توسعه غالب شهر یزد به سمت جنوب غربی، میزان کارایی کاهش می‌یابد. بحث و نتیجه گیری: نتایج تحقیق بیان گر آن است که شاخص‌های شیب، رسوبات دشت دامنه‌ای و فضاهای مناطق شهری بیش ترین اهمیت را در توسعه شهر یزد دارا می‌باشند

المصادر:


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_||_

  1. Hosseinzadeh Dalir, k., Houshyar, H., 2006. The effective elements and viewpoints on the physical development of cities in Iran. Journal of Geography and Regional Development. Vol.3(6),213-226. (In Persian)
    2.
  2. Negaresh, H., 2003. The Application of Geomorphology in the Localization of Cities and its Consequences. Geography and Development. Vol.1(1),133-147. (In Persian)
    3.
  3.  Azizpour, M., 1995. Estimation of natural environment and physical development of Tabriz city, Ph.D. Degree Thesis in Geography and Urban Planning, Tarbiat Modares University, Tehran. (In Persian)
    4.
  4. Zangiabadi, A., Tabrizi, N., 2006. Tehran earthquake and spatial assessment of vulnerability of urban areas. Geographical Research Quarterly.Vol.38(1), 115 -130. (In Persian)
    5.
  5. Mousavi, S.M., Abedini, M., Esmeali Ouri, A., 2015. Evaluation Seismic hazard in Izeh urban catchment with using models, Multi – criteria: WLC and AHP in GIS. Emergency Management. Vol.7,91-101. (In Persian)
    6.
  6. Ebrahimzadeh Asmin, H., Ebrahimzadeh, Isa., Habibi, M.A., 2010. Geography and Development. Vol.8(19), 25-46. (In Persian)
    7.
  7.  Zangiabadi, A., Akbari, M., 2011. Assessment and Analysis of Development Indicator in Township of Fars Province. Journal of Environmental Studies. Vol.37(59), 113- 122. (In Persian)
    8.
  8. Schick, A.P.,  Grodek, T., Wolman, M.G., 1999.Hydrologic processes and geomorphic constrainsts on urbanization of alluvial fan slopes. Geomorphology.Vol.31(1-4), pp.325-335.
    9.
  9. Lateef, A. S. A., Fernandeez-Alonso, M., Tack, L., Delvaux, D., 2010. Geological constraints on urban sustainability, Kinshasa City, Democratic Republic of Congo. Environment Geosciences. Vol. 17(1), pp.17-35.
    10.
  10. Davies, T, C., 2015.Urban geology of African megacities. Journal of African Earth Sciences. Vol. 110, pp.188–226.
    11.
  11. Makhdoum, M.F., 2005. Fundamental of Land Use Planning.Sixth editin, University of Tehran Press, Tehran. (In Persian)
    12.
  12. Aburas, M. M., Ho, Y. M., Ramli, M. F., Ash’aari, Z. H., 2016. The simulation and prediction of spatio-temporal urban growth trends using cellular automata models: A review. International Journal of Applied Earth Observation and Geoinformation. Vol.52, pp. 380-389.
    13.
  13. Yeh, A. G. O., Li, X., 2002. Urban simulation using neural networks and cellular automata for land use planning. Advances in Spatial Data Handling, pp. 451-464.
    14.
  14. Eyoh, A., Olayinka, D.N., Nwilo, P., Okwuashi, O., Isong, M., Udoudo, D., 2012. Modelling and Predicting Future Urban Expansion of Lagos, Nigeria from Remote Sensing Data Using Logistic Regression and GIS.International Journal of Applied Science and Technology.Vol.2(5), pp.116-124.
    15.
  15. Vahab zadeh, A., Environmental Science Earth AS Living Planet. Botkin, D., Keller, E. First edition, Mashhad:  jdmpress,2003. (In Persian)
    16.
  16. Abravesh, M., 2014. Efficiency Evaluation and Productivity of Mellat Bank Branches in 2013 by Data Envelopment Analysis(DEA), Master's Degree Thesis in Management and Accounting, Islamic Azad University of Central Tehran Branch. (In Persian)
    17.
  17. Molaeiyan, E., 2011. Investigating Supply Chain Performance and Calculating Density in It, Master's Degree Thesis in Applied Mathematics, Islamic Azad University Science and Research Branch. (In Persian)
    18.
  18. Fare, R., Grosskopf, S. Lovell, C.,1985. The measurement of efficiency of production. Kluwer-Nijhoff Pub. Boston. USA.
    19.
  19. Mitropoulos, P., Talias, M., Mitropoulos, I., 2015. Combining stochastic DEA with Bayesian analysis to obtain statistical properties of the efficiency scores: An application to Greek public hospitals. European journal of Operational Research. Vol. 243(1), pp. 302-311.
    20.
  20. Bray, S., Caggiani, L., Ottomanelli, M., 2015.Measuring Transport Systems Efficiency Under Uncertainty by Fuzzy Sets Theory Based Data Envelopment Analysis: Theoretical and Practical Comparison with Traditional DEA Model. Journal Transportaion Research Procedia. Vol.5, pp.186-200.
    21.
  21. Kuo, H., Chen, H., Tsou, K., 2014. Analysis of Farming Environmental Efficiency Using dea Model with Undesirable Outputs. ApCBeEE Procedia. Vol.10, pp.154-158.
    22.
  22. Huang, j., Liu, y., 2011. the assessment of regional vulnerability to natural disasters in China. Int. J. Disaster Risk Sci.Vol.2(2), pp.41–48.
    23.
  23. Li, C.H., Li, N., Wu, L.C., Hu, A.J., 2013. A relative vulnerability estimation of flood using data envelopment analysis in the Dongting Lake region of Human. Natural Hazards and Earth System Sciences. Vol.13, pp.1723-1734.
    24.
  24. Saraei,M.H.,2007 .Multiple patterns of Yazd growth. Quarterly of Geographic Research Vol.84,75-98. (In Persian)
    25.
  25. Zanganeh Shahraki, S., Majidi Heravi, A., Kaviani, A.,2012. Global Explanation of effective causes and factors on Urban sprawl. Case study: Yazd. Journal of Applied Researches in Geography Sciences. Vol.12(25), 173-193. (In Persian)
    26.
  26. Azizpour, M., Hosseinzadah Dalir, K., Esmaeilpour, N.,2009. Investigation of relationship between rapid horizontal growth of Yazd and population movements. Geography and Environmental Planning. Vol.20(34),105-124. (In Persian)
    27.
  27. Statistical Yearbook of Yazd province,2011. (In Persian)
    28.
  28. Rezaei, J., Soltani, H.A., Tavakoli Baghdad Abadi, M.R., Hosseini, M.A., 2008.  Evaluation of Total Factor Productivity Changes In Iranian Commercial Banks Lising Malmquist Index. Iranian  journal of Trade Studies,Vol.12(48), pp.69-101. (In Persian)
    29.
  29. Bowlin, W.F., Charnes, A., Cooper, W.W., Sherman, H.D., 1985.Data Envelopment Analysis and Regression Approaches to Efficiency Estimation and Evaluation. Annals of Operations Research.Vol.2(1), pp.113-138.
    30.
  30. Markovits-Somogy, R., 2011. Ranking efficient and inefficient decision making units in data envelopment analysis. International Journal for Traffic and Transport Engineering. Vol.1)4(, pp.245–256.
    31.
  31. Liu, J., Ding, F. Y., Lall, V., 2000. Using data envelopment analysis to compare suppliers for supplier selection and performance improvement, Supply Chain Management. An International Journal. Vol. 5(3), pp.143–150.
    32.
  32. Golany, B., storbeck, J.E., 1999. A Data Envelopment Analysis of the Operational Efficiency of Bank Branches. Interfaces.Vol. 22, pp. 14-26.
    33.
  33. Anderson, P., Peterson, N.C., 1993. A procedure for ranking efficient units in data envelopment analysis. Management Science. Vol.39(10), pp.1261-1294.
    34.
  34. Coates, D.R., 1981.Environmental Geomorphology and Landscape Conservation. Dowden, Hutchinson and Ross.Stroudsburg. Vol.2.
    35.
  35. Ryngnga, P. K., Ryntathiang, B. B. L., 2013. Dynamics of landuse land cover for sustainability: a case of Shillong, Meghalaya, India. International Journal of Scientific & Technology Research.Vol. 2(3), pp. 235–239.
    36.
  36. Hassan, M. M., Nazem, M. N. I., 2016. Examination of land use/land cover changes, urban growth dynamics, and environmental sustainability in Chittagong city, Bangladesh. Environment, Development and Sustainability.Vol.18(3), pp.697–716.
    37.
  37. Rizk, H. I., Rashed, K. M., 2015. Monitoring urban growth and land use change detection with GIS and remote sensing techniques in Daqahlia governorate Egypt. International Journal of Sustainable Built Environment.Vol.4(1), pp.117–124.
    38.

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