کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
568880 1452296 2014 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A participatory approach for system conceptualization and analysis applied to coastal management in Egypt
ترجمه فارسی عنوان
یک رویکرد مشارکتی برای مفهوم سازی و تحلیل سیستم برای مدیریت ساحلی در مصر استفاده شده است
کلمات کلیدی
تفکر سیستمی، مدل های ذهنی، ماتریس تعامل، نمودارهای حلقه علمی، یکپارچه سازی مدیریت زون ساحلی، مدیترانه، مصر
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزار
چکیده انگلیسی


• The coast is a system characterized by different and complementary vision on the issues at stake.
• Stakeholders mental models are important for conceptual modeling integrating expert knowledge.
• We use a stakeholder-based approach to design and assess conceptual models in Egypt's coast.
• Models are based on relationships between coastal issues analyzed to estimate their relevance.
• The method is useful to identify the main coastal issues and to set the basis for dynamic simulations.

This paper presents a participatory approach to conceptualizing system's models and to identifying critical issues in complex socio-environmental systems, combining information collected from individual experts and stakeholders. A method was developed to: (i) capture individuals mental models in the form of causal loop diagrams, using interaction matrices; (ii) build a conceptual model of the system combining the contribution of all stakeholders; (iii) identify critical issues for the system and (iv) prepare a combined causal loop diagram for further discussion and system dynamics simulations. This method was used to engage a group of stakeholders involved in the preparation of a plan for integrated coastal zone management in Egypt. The experience helped highlight the critical issues of the system in terms of importance given by the actors involved in the exercise and their impact on the coastal system. This approach also demonstrated the utility of conceptualizing complex socio-environmental systems for identifying critical issues in data-poor environments.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Environmental Modelling & Software - Volume 54, April 2014, Pages 142–152
نویسندگان
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