Evaluation of the Digitized Transportation System: An Empirical Case Study in an Uncertain Environment

Abstract

The transport sector is one of the main sources of greenhouse gas emissions, which puts the environment and climate change at serious risk. Digitalization presents a possible means of reducing these emissions, through promoting sustainable habits and optimizing transportation networks. Hence, this study was keen to clarify the extent of the impact of contemporary technology and its integration into the transportation sector to become eco-friendly by reducing emissions. Accordingly, analyzing and evaluating transportation systems that adopt this technology is vital. Wherein the evaluation is conducted based on a set of criteria related to embraced technologies. In turn, Multi-Criteria Decision Making (MCDM)techniques such as entropy and TOmada de Decisão Iterativa Multicritério (TODIM) have a vital role in obtaining weight for criteria utilized in the ranking process for transportation systems alternatives respectively. As well these techniques are also implemented in the environment of Triangular Neutrosophic sets to bolster the judgments of experts in uncertainty and ambiguity situations