Airports are critical in ensuring a fast way of transporting people and goods. Choosing a reliable, fast and comfortable access mode to the airport is vital to ensure a seamless aviation system. The aim of this study is to select the best transport mode for Istanbul’s newly constructed Istanbul Airport. One of the largest airports in the world with 150,000 passenger capacity per year, Istanbul Airport is located in the northern part of Istanbul, outside the city. However, the access to the new airport resulted in many controversies about the selection of the best mode. Underground metro, bus rapid transit (BRT), light rail transit (LRT) and premium bus services are put forward as alternative ground access modes. These alternatives are evaluated based on 4 main decision criteria including financial aspects, operating features, project characteristics and environmental sustainability, which are broken down into 14 sub-criteria. In this paper, the importance weights of the criteria are determined by novel fuzzy Level Based Weight Assessment (LBWA) which is capable of modelling human thinking. Afterwards, the traditional Weighted Aggregated Sum Product Assessment (WASPAS) method is enhanced by the integration of the fuzzy Weighted Heronian Mean (WHM) and fuzzy Weighted Geometric Heronian Mean (WGHM) functions. A hybrid fuzzy multi-criteria decision making method based on LBWA-WASPAS-H model is used to solve this ground access mode selection problem. The results show that an underground metro is the most optimal mode, followed by LRT, BRT, and premium bus services.

机场对于确保快速运输人员和货物至关重要。选择可靠，快速且舒适的机场进场模式对于确保无缝的航空系统至关重要。这项研究的目的是为伊斯坦布尔新建的伊斯坦布尔机场选择最佳的运输方式。伊斯坦布尔机场是世界上最大的机场之一，每年载客量达15万人次，位于伊斯坦布尔北部，城市外。然而，进入新机场导致了关于最佳模式选择的许多争议。地下地铁，快速公交（BRT），轻轨运输（LRT）和优质公交服务被提出作为替代地面访问模式。这些替代方案是根据4个主要决策标准进行评估的，包括财务方面，运营特征，项目特征和环境可持续性，分为14个子标准。在本文中，标准的重要性权重是通过能够对人类思维进行建模的新型模糊基于层次的权重评估（LBWA）来确定的。此后，通过集成模糊加权Heronian均值（WHM）和模糊加权几何Heronian均值（WGHM）函数，增强了传统的加权汇总和积评估（WASPAS）方法。基于LBWA-WASPAS-H模型的混合模糊多准则决策方法解决了地面接入模式选择问题。结果表明，地下地铁是最理想的方式，其次是轻轨，快速公交和优质公交服务。标准的重要性权重由能够对人类思维进行建模的新型模糊基于层次的权重评估（LBWA）确定。此后，通过集成模糊加权Heronian均值（WHM）和模糊加权几何Heronian均值（WGHM）函数，增强了传统的加权汇总和积评估（WASPAS）方法。基于LBWA-WASPAS-H模型的混合模糊多准则决策方法解决了地面接入模式选择问题。结果表明，地下地铁是最理想的方式，其次是轻轨，快速公交和优质公交服务。标准的重要性权重由能够对人类思维进行建模的新型模糊基于层次的权重评估（LBWA）确定。此后，通过集成模糊加权Heronian均值（WHM）和模糊加权几何Heronian均值（WGHM）函数，增强了传统的加权汇总和积评估（WASPAS）方法。基于LBWA-WASPAS-H模型的混合模糊多准则决策方法解决了地面接入模式选择问题。结果表明，地下地铁是最理想的方式，其次是轻轨，快速公交和优质公交服务。模糊加权Heronian均值（WHM）和模糊加权几何Heronian均值（WGHM）函数的集成增强了传统的加权汇总和产品评估（WASPAS）方法。基于LBWA-WASPAS-H模型的混合模糊多准则决策方法解决了地面接入模式选择问题。结果表明，地下地铁是最理想的方式，其次是轻轨，快速公交和优质公交服务。模糊加权Heronian均值（WHM）和模糊加权几何Heronian均值（WGHM）函数的集成增强了传统的加权汇总和产品评估（WASPAS）方法。基于LBWA-WASPAS-H模型的混合模糊多准则决策方法解决了地面接入模式选择问题。结果表明，地下地铁是最理想的方式，其次是轻轨，快速公交和优质公交服务。