Urban environmental quality (UEQ) is a quantifiable measure of the capacity of an environment to cope with the requirements of an urban population. UEQ can be mapped by way of modeling separate domains of a specific residential area, such as physical environment, buildup areas, infrastructure, natural hazards, etc. Along this thread, the present study sets out to design a unprecedented approach to spatial-temporal mapping of UEQ based on Fuzzy logic, analytical network process, remote sensing imagery, and field‐collected data. The methods were implemented for the case of districts 3, 6, and 11 of Tehran. As maintained by the results of sensitivity analysis, the introduction of a 30 percent error to the input parameters, resulted in a mere 16 percent change in output, signifying high reliability of the developed spatial temporal modeling proposed in this study as a reasonably suitable model for environmental quality mapping in heterogeneous urban areas. The following conclusions were made based on the study findings: (i) the spatial pattern of UEQ follows along a north-south trend, (ii) UEQ is higher in spring and summer compared to winter and autumn, (iii) air quality index and vegetation cover are the most influential indicators for UEQ mapping and modeling.

城市环境质量（UEQ）是对环境满足城市人口需求的能力的量化度量。可以通过对特定居住区的单独域建模（例如物理环境，建筑区域，基础设施，自然灾害等）的方式来映射UEQ。沿着这一线索，本研究着手设计一种前所未有的时空映射方法基于模糊逻辑，分析网络过程，遥感影像和现场收集的数据的UEQ。该方法针对德黑兰的第3、6和11区实施。根据灵敏度分析的结果，输入参数引入了30％的误差，导致输出仅变化了16％，表示本研究中提出的已开发的空间时态模型具有较高的可靠性，可作为一种适用于异类城市地区环境质量映射的模型。根据研究结果得出以下结论：i）UEQ的空间格局遵循南北趋势；（ii）与冬季和秋季相比，UEQ在春季和夏季要高一些；（iii）空气质量指数和植被覆盖度是UEQ测绘和建模最有影响力的指标。