نقش مدیریت هوشمند در برنامهریزی کالبدی شهر برای کاهش آثار زمین لرزه
Role Of Intelligent Management In Urban Physical Planning In Order To Mitigate Consequences Of Earthquakes
ارزیابی و پایش برنامههای مدیریت خطرپذیری از شاخصهای مدیریت هوشمند شهری است. در این تحقیق ضمن تأکید بر الزامات شهر هوشمند، به نقش کلیدی مدیریت هوشمند در پشتیبانی از تصمیمگیری برای پیشگیری، آمادگی و کاهش خطرپذیری کالبدی یک شهر برای زمینلرزه اشاره میگردد. روش مطالعه از نوع کتابخانهای و شامل گردآوری اطلاعات و سوابق موضوع، غربالگری، دستهبندی و تحلیل توصیفی میباشد. بدین منظور از مفهوم پشتیبان تصمیمگیری هوشمند استفاده گردید. نتایج نشان داد با اعمال مدیریت هوشمند و به کارگیری فنآوریهای نوین میزان مخاطرات زمینلرزه کاهش مییابد. شیوههای سنتی از انعطافپذیری، خوداصلاحی و تطابقپذیری لازم برای مواجهه کارآمد با زمینلرزه برخوردار نیستند. کارآمدی الگوی مدیریت هوشمند از طریق مداخله در نظام برنامهریزی کالبدی شهر مستلزم بهرهمندی از سامانههای هوشمند اطلاعرسانی وقوع زمینلرزه و پایش زیرساختهای شهر است که میتوان با طراحی سامانهای، میزان مداخلهپذیری مدیریت شهری را به صورت هوشمندانه در یک شهر و قبل از وقوع زمینلرزه تعیین نمود.
Quantitative and qualitative assessment and monitoring of risk managed the planning and crisis management reveal a need for intelligent urban management in terms of physical planning, especially management of natural disas ters such as an earthquake. Study of s trong earthquakes happening in large urban areas that highlight the positive effect of crisis management explicitly indicate an intelligent management model with regard to urban physical planning. Present modern cities with a large extent of complexity and intertwined network of connection under the Bumbershoot of hightech information technology as well as electronic technologies require a revision of traditional approaches together with creative intelligent management. This s tudy not only emphasizes the necessity for the requirements of intelligent cities, including employing digital information sys tems, versus analog information and inevitability of updating as well as integrating urban physical data. This s tudy also elaborates the key role of intelligent management in supporting any kind of decision making in order to prevent, prepare for, and mitigate risk associated with physical fabric in a city in the event of earthquakes. The methodology employed in this s tudy includes literature review, such as gathering information and his tory of the field, screening of this information, and ultimately its categorization as well as descriptive analysis. Finally, in this issue, the theoretical fundamentals of intelligent decision support are considered. The results show that by employing intelligent management through incorporating physical planning along with modern technology into urban infras tructures, hazards of earthquakes can be mitigated. Using this management approach in urban physical planning
is necessary due to the rapid expansion of cities. Furthermore, other approaches lack of flexibility, self-correction, and adaptation required effectively and efficiently to cope with seismic crises. The efficiency of the Smart Urban Management Model through intervention in physical planning requires the use of intelligent earthquake alarm sys tems and monitoring of urban infras tructure vital. The application of intelligent management within the framework of physical planning is an efficient and excellent way of preventing, preparing, copying, relief and rebuilding a city agains t earthquake crises. Because using the concept of urban intelligent management, make a decision for earthquake interventions to confront the earthquake which has selfimprovement capabilities, flexibility, and adaptation to urban variable needs. In this model, an assessment of various urban criteria is undertaken to prevent, prepare and reduce the risk of earthquakes. An analysis of the relationship between physical planning and urban land use and the communication and infras tructure network with the degree of earthquake vulnerability is considered as one of the intelligent management policies in reducing vulnerability. So that every decision of the crisis, requires discipline and intelligence to support continuous monitoring of indicators and self-improvement, support various methods.
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