Fleet Vehicle Selection for Sustainable Urban Logistics

Abstract

Nowadays, urban logistics becomes a critical subject due to the extension of the population in cities. Urban transportation, which is a sub-category of urban logistics, has a massive connection with city residents; hence, it needed to be evaluated with the residents' needs to achieve a sustainable and efficient process. Last-mile delivery in which the micro-level transportation operations are included in urban areas is also another crucial area that affects the resident's life. To impress on its efficiency and create durable cities, this paper concentrates on a selection problem for the last-mile delivery area. The selection is approached as a multi-criteria decision-making (MCDM) process. In order to enable the methodology to deal with linguistic variables, 2-Tuple linguistic-based SAW-VIKOR techniques are suggested for this problem. To test the validity of the suggested methods, a case study is applied with a cargo company from Turkey.