Sustainable Urban Landscape Designing based on Public Participation in Modern Metropolitan Management (A Case of Rudaki Area in the 11th District of Tehran)

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Article Type:
Case Study (دارای رتبه معتبر)
Abstract:

Undoubtedly, confronted with an immense volume of data and information, and recognizing time as the paramount capital in modern city administrations, the imperative is clear: embracing new technologies becomes unavoidable. In the realm of participatory decision-making, the utilization of virtual environmental systems offers a practical avenue. These systems enable the selection of viable and fitting solutions through the evaluation of simulated ideas, thereby averting erroneous decisions. The principal objective of this research is to usher in a novel perspective within Iran's urban planning, wherein the precedence of landscape design hinges on the attainment of a sustainable urban landscape, emphasizing the active involvement of local residents in the design process.In this article, the snowball sampling method is employed. The significant components of collaborative urban development and collaborative virtual environments were discerned and analyzed using the Delphi method. Factors with lesser impact on the research model were identified through expert opinions, resulting in the formulation of a conceptual model based on both existing models and responses from a questionnaire. In crafting this conceptual model, expert opinions were amalgamated through the brainstorming method, facilitating the derivation of a suitable model using the Analytic Network Process (ANP) method. Following this approach, a sustainable urban landscape system can be envisioned for the Rudaki area, leveraging its substantial potential in historical and cultural identity. This process, rooted in network analysis, not only offers a valuable output for decision-making but also serves as a foundation for designing a sustainable urban landscape system.

Language:
Persian
Published:
Amayesh Journal, Volume:16 Issue: 62, 2023
Pages:
107 to 124
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