آینده پژوهی اثرات رشد هوشمند شهری در ایجاد شهرهای کم¬کربن (با رویکردی به شهرهای ایران)
مهتاب امرایی
1
(
دانشجوی دکتر جغرافیا و برنامه ریزی شهری دانشگاه زنجان
)
بهنام شیرزادی
2
(
دانشجوی دکتری جغرافیا و برنامه¬ریزی شهری، گروه جغرافیا، دانشکده علوم اجتماعی، دانشگاه زنجان، شهر زنجان ، ایران.
)
محمد تقی حیدری
3
(
هئیت علمی دانشگاه زنجان
)
کلید واژه: شهر هوشمند, شهر کم¬کربن, شهرهای ایران.,
چکیده مقاله :
در این پژوهش سعی شد تا به بررسی فرضیه اصلی پژوهش یعنی اثرات رشد هوشمند شهری در ایجاد شهرهای کم کربن در شهرهای ایران پرداخته شود. پژوهش حاضر از ترکیب دو تکنیک کتابخانهای و روش دلفی استفاده کرده و دارای رویکردی اکتشافی است. شاخصهای کلیدی از طریق روش دلفی و از طریق 30 نفر از خبرگان حوزهی برنامهریزی شهری به دست آمد. تحلیل یافتهها از طریف نرمافزار میکمک صورت گرفت. یافتههای نظری پژوهش نشان میدهد که شهرهای ایران برای دستیابی به شهرهای کمکربن از طریق هوشمندسازی شهرها در آینده به کارآیی انرژی و انرژی‌های تجدیدپذیر، حمل و نقل پایدار، مدیریت پسماند، مدیریت آب و... نیازمند است. 17/75 درصد رابطه ماتریسی دارای اثرات متقاطع سه، روابط عاملهای کلیدی بسیار زیاد بوده است، از تأثیرگذاری و تأثیرپذیری برخوردار بودهاند. ماتریس اثرات مستقیم و هم ماتریس تأثیرات بالقوه مستقیم به ترتیب 98 و 97 درصد بوده که حاکی از روایی بالای پرسشنامه است. تحلیل سیستم نشان داد که در ماتریس متقاطع، جمع اعداد در سطر میزان تأثیرگذاری آن عامل را و جمع اعداد در ستون نیز میزان تأثیرپذیری آن عامل را نشان میدهد. پیرامون قرارگیری و توزیع شاخصها در صفحه نمودار باید گفت که برحسب منطقهبندی متغیرها بیشتر در شمال شرق و شمال غرب پراکندهان و این نشان میدهد که توزیع نرمالی ندارد.
چکیده انگلیسی :
in this research, an attempt was made to investigate the main hypothesis of the research, i.e. the effects of smart urban growth in creating low-carbon cities in Iranian cities. The current research uses a combination of two library techniques and the Delphi method and has an exploratory approach. Key indicators were obtained through the Delphi method and through 30 experts in the field of urban planning. The analysis of the findings was done by Mic Mac software. The theoretical findings of the research show that Iranian cities need energy efficiency and renewable energies, sustainable transportation, waste management, water management, etc. in order to achieve low carbon cities through smart cities in the future. 75.17 percent of the matrix relationship has three cross effects, the relationships of the key factors have been very high, they have had influence and influence. The matrix of direct effects and the matrix of potential direct effects were 98 and 97%, respectively, which indicates the high validity of the questionnaire. The analysis of the system showed that in the cross matrix, the sum of the numbers in the row shows the influence of that factor and the sum of the numbers in the column also shows the influence of that factor. Regarding the placement and distribution of indicators on the graph page, it should be said that according to the regionalization of the variables, they are mostly scattered in the northeast and northwest, and this shows that the distribution is not normal.
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