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In urban areas, delivery of the products necessary to survive to the desired points has vital importance, and public distribution centers (PDCs) are one of the most important components of this system. In this paper, we present a hybrid method to analyze the locations of F&VMHs which is one of the PDCs types. Firstly, the alternative numbers have been decreased by interval-valued trapezoidal fuzzy grey relational analysis (IVTFGRA) method. Secondly, we develop a binary fuzzy goal programming (BFGP) model with fuzzy parameters to determine the most appropriate F&VMH locations by taking into consideration costs, arrival times and CO 2 emission goals. Then, the BFGP model is converted to standard FGP model. In the last stage, the constraints with fuzzy parameters are transformed to crisp constraints with Peidro et al. (2010) 's methodology. The results show that current F&VMHs need to be moved to the locations that are more cost effective and out of the city center. [ABSTRACT FROM AUTHOR]

• Location selection problem for the mobility hubs is an essential and strategic task faced by municipalities. • This paper aims to select the best location for a new mobility hub location in the Anatolian side of Istanbul. • An integrated MCDM methodology that consists of interval type-2 fuzzy AHP and interval type-2 fuzzy WASPAS is proposed. • Kadıköy is found as the best location for building a mobility hub to expand shared-use mobility and public transport options. • To validate results of the proposed approach, Sensitivity analysis is conducted at the end of the study. Mobility hubs facilitate access to many transportation modes, such as public transportation, bike sharing, bus rapid transit (BRT), metro or car sharing, to enable travelers become more mobilized by providing advantage of their socio-economic benefits. Mobility hubs also help to lessen greenhouse gas emissions by decreasing private vehicle usage and giving equal priority to all modes of travel, including walking, cycling and other active forms of transport, i.e. public transport, ridesharing, taxis and private motor vehicles. Thus, emerging and inspiring the usage of diverse modes of transportation with less influence on the environment is one of the main policy to decrease people's environmental footprint. Since the locations of mobility hubs play an important role to achieve this goal by attracting travelers and encouraging people to use different modes of mobility options that has less impact on environment, the location selection of such hubs requires a strategic decision for authorities and policy makers. With this motivation, in this study, an integrated fuzzy multi criteria decision-making (MCDM) methodology that consists of interval type-2 fuzzy Analytic Hierarchy Process (AHP) and interval type-2 fuzzy Weighted Aggregated Sum Product Assessment (WASPAS) is proposed to select the best location for a new mobility hub location in the Anatolian side of Istanbul. Among alternative locations Kadıköy is found as the best location for building a mobility hub to expand shared-use mobility and public transport options at a major transit station for Istanbulers in Anatolian side. At the end of the study, Sensitivity analysis is conducted to validate results of the proposed approach. [ABSTRACT FROM AUTHOR]