This paper presents the research results on the evaluation of Tehran’s 22 municipal districts’ carrying capacity concerning mega malls. Here, we developed an Urban Carrying Capacity Assessment Framework (UCCAF). Using a combination of objective and subjective methods, we determined the final weights of economic, social, environmental, and transportation criteria and their 25 subsequent indices. For the objective weights, we used the “Ekbatan Mega Mall” as a case study and entered the data from field observation, interviews, and questionnaires into the Rapid Impact Assessment Matrix (RIAM). Next, we distributed the criteria and indices to the experts to collect their views and priorities. To obtain subjective weights from these priorities, we used a Multi-Criteria Decision Making (MCDM) method, i.e., Step-wise Weight Assessment Ratio Analysis (SWARA). Next, we applied Weighted Aggregated Sum Product Assessment (WASPAS) to combine the final weights of indices with the UCCAF results. Here, the districts’ ultimate rankings concerning their carrying capacity for mega malls were obtained. Finally, using the cluster analysis method, districts were classified into six clusters of optimum (district 22), good (district 5), acceptable (districts 21, 4, and 2), poor (districts 19 and 20), very poor (the rest of districts except district 12), and critical (district 12) in terms of carrying capacity. The results reveal that 21 out of 36 recently-built mega malls of Tehran are located in districts with very poor carrying capacity. The proposed framework provides urban planners with a dynamic carrying-capacity-based decision support system.

中文翻译：

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大型购物中心开发的城市承载力评估框架德黑兰 22 个市辖区的案例研究


本文介绍了德黑兰22个市辖区大型购物中心承载能力评估的研究结果。在这里，我们制定了城市承载能力评估框架（UCCAF）。我们采用客观和主观相结合的方法，确定了经济、社会、环境和交通标准及其25个后续指标的最终权重。对于客观权重，我们以“Ekbatan Mega Mall”为案例研究，将现场观察、访谈和问卷调查的数据输入快速影响评估矩阵（RIAM）。接下来，我们将标准和指标分发给专家，以收集他们的意见和优先事项。为了从这些优先级中获​​得主观权重，我们使用了多标准决策（MCDM）方法，即逐步权重评估比率分析（SWARA）。接下来，我们应用加权聚合和产品评估（WASPAS）将指数的最终权重与 UCCAF 结果相结合。这里获得了各地区大型购物中心承载力的最终排名。最后，利用聚类分析方法，将各地区分为最佳（22 区）、良好（5 区）、尚可（21、4 和 2 区）、较差（19 和 20 区）、非常差（19 和 20 区）六类。就承载能力而言，除 12 区外的其余地区均处于临界状态（12 区）。结果显示，德黑兰新建的 36 个大型购物中心中有 21 个位于承载能力极差的地区。所提出的框架为城市规划者提供了一个基于动态承载能力的决策支持系统。