Parking is one of the biggest challenges faced by megacities experiencing rapid growth. With more than 15 million population and approximately 3 million passenger cars, Istanbul is a megacity having a considerable parking problem. Sustainable planning of the parking lots in the city requires smarter spatial decision making approaches to use limited land resources efficiently. In order to determine the optimum locations for parking supply in the case of four districts of Istanbul, a GIS-based fuzzy analytical hierarchy process (AHP) approach is employed. In this context, the relevant criteria are identified and collected under three main categories: (1) land use, (2) finance and (3) transportation. Raster grid layers are created in GIS for those criteria through spatial data processing and analysis techniques. Those layers are then combined after being weighted with the fuzzy AHP approach. Thus, the scores of all grid cells in the study area are obtained and then transferred to the land parcels to rank them by their suitability. Besides, the parcels are also evaluated with respect to shape and area. Finally, those assigned to the highest ranking category as well as having proper shape and area are recognized as the feasible parcels for parking lot generation and prioritized according to those factors. The findings showed that the GIS-based fuzzy AHP approach applied in this study enabled multi-criteria investigation of each location (i.e. grid cell) in the study area based on highly detailed spatial data and could therefore be used to determine the feasible parcels for parking lot generation. Among the main criteria, transportation had the greatest weight while finance had the least weight. According to the case study, the need for parking and the number of feasible parcels are greater in Uskudar than the other three districts.

停车是快速增长的特大城市面临的最大挑战之一。伊斯坦布尔拥有超过 1500 万人口和大约 300 万辆客车，是一个存在严重停车问题的特大城市。城市停车场的可持续规划需要更智能的空间决策方法，以有效利用有限的土地资源。为了在伊斯坦布尔四个区的情况下确定停车供应的最佳位置，采用了基于 GIS 的模糊层次分析法 (AHP) 方法。在此背景下，相关标准被确定和收集在三个主要类别下：(1) 土地使用，(2) 财政和 (3) 交通。栅格网格图层是通过空间数据处理和分析技术在 GIS 中根据这些标准创建的。然后在使用模糊 AHP 方法加权后组合这些层。因此，获得研究区域内所有网格单元的分数，然后转移到地块中，按其适宜性对它们进行排序。此外，还根据形状和面积对地块进行评估。最后，那些被分配到最高等级类别并具有适当形状和面积的地块被认为是用于停车场生成的可行地块，并根据这些因素进行优先排序。研究结果表明，本研究中应用的基于 GIS 的模糊 AHP 方法能够基于高度详细的空间数据对研究区域中的每个位置（即网格单元）进行多标准调查，因此可用于确定可行的停车地块很多一代。在主要标准中，交通的权重最大，而金融的权重最小。根据案例研究，Uskudar 的停车需求和可行地块数量比其他三个区都大。