‘Not in My Back Yard (NIMBY)’ facilities are psychologically sensitive to urban and regional development. Multi-criteria evaluation (MCE) method has been widely used for the decision-making of optimum siting of urban NIMBY facilities which aim to improve residents’ psychological satisfaction. However, the evaluation of qualitative criteria in siting analysis remains under researched, such as the insufficient focus on urban and regional spatial development, social public opinion, and psychological factors. Thus, the effective improvement of MCE method through an interdisciplinary view can optimise the decision process and advance the factor assessment system of siting, which helps to supplement qualitative criteria evaluation. The specific improvement steps are as follows. The first step is to introduce the mixed MCE method to improve the qualitative criteria evaluation method by pre-processing qualitative criteria with min–max standardisation and normalization. This process transfers all negative factors to positive ones and transforms the F function to linear functions. The second step is to optimise the existing two-phase siting decision-making including the feasibility evaluation phase and the MCE phase. The third step is to propose a modular criteria system composed of urban and regional spatial planning, social psychological factors and the corresponding improvement strategy of this system from three perspectives of composition, measure, and weight. We argue that the improved method could be broadly applied to optimum siting decision of urban NIMBY facilities and enhance the psychological satisfaction of residents.

中文翻译：

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迈向更好的心理满足感：针对城市“不在我的后院”设施选址制定混合多标准评估体系

“邻避”设施对城市和区域发展具有心理敏感性。多标准评价（MCE）方法被广泛应用于城市邻避设施的最佳选址决策，旨在提高居民的心理满意度。然而，选址分析中的定性评价标准仍有待研究，如对城市和区域空间发展、社会舆论、心理因素等关注不够。因此，通过跨学科的视角对MCE方法进行有效改进，可以优化决策过程，推进选址因素评估体系，有助于补充定性标准评估。具体改进步骤如下。第一步是引入混合MCE方法，通过最小-最大标准化和归一化预处理定性标准来改进定性标准评估方法。这个过程将所有负面因素转化为正面因素，并将 F 函数转换为线性函数。第二步是优化现有的两阶段选址决策，包括可行性评估阶段和MCE阶段。第三步，从构成、测度、权重三个角度提出由城市与区域空间规划、社会心理因素组成的模块化标准体系以及该体系相应的改进策略。我们认为改进的方法可以广泛应用于城市邻避设施的最佳选址决策，提高居民的心理满意度。