After the COVID-19 pandemic and the spectrum of new climate change disruptions in the supply chain, a holistic approach towards sustainable transportation is needed. Sustainable transportation could benefit sustainable development from different angles; reduced traffic deaths, increased share of renewable energy, higher quality of transport-related infrastructure, increased satisfaction with public transportation, increased responsible consumption and production, and reduced fossil fuel consumption. This study is an attempt to show whereon the scholars were focused previously and where the focus needs to be more on. This study has reviewed 358 case studies and categorized them into twenty groups based on the transportation mode and eleven groups based on the authors’ primary areas of concern. Keyword analysis followed by topics modeling showed three non-overlapping trends in the cohort. The results, with a corroboratory investigation on the benefits of the United States’ infrastructure bill, were discussed in four categories: in-vehicle improvements, built-environment elements, human factors, and planning and regulations.

This study aims to optimize cross-docking (CD) performance and efficiency in CD assignment problems by maximising forklift utilisation inside the terminal. ‘We present a new Mixed-Integer Nonlinear programming (MINLP)’ model that considers truck-door assignment and forklift utilisation inside the airport. One objective is to enhance the quality of truck-door by minimising the total transshipment costs, including the penalty cost associated with forklift underutilisation, the total forklift travel distance cost, and the total weighted loading unloading and operator cost. Another objective is to control the forklift congestion by minimising the total number of forklifts needed to transfer products between multiple doors inside the terminal. Two algorithms, including the tabu-search and the best-local-point-finder, are proposed to accomplish these objectives. Our computational results show the advantage of the proposed algorithms over the CPLEX commercial solver.