Recently, society has had a growing concern about the sustainability of airports in social, economic, and environmental terms and a perception that stakeholders have not adequately addressed this concern. The importance of sustainability awareness, especially in the airport sector, has recently increased as its operations increase greenhouse gas emissions and energy consumption and cause other environmental issues. Hence, applying sustainable airport practices can allow airports to improve their economic and social effects and reduce their harmful environmental impact. In response to the growing concern regarding the quality of sustainability practices, this paper aims to allow researchers to investigate airport sustainability awareness (ASA) by studying the relationship between airport sustainability knowledge, attitudes, and behavior of airport sustainability practices and illustrating the gap in the literature on the related topics through a systematic review. Additionally, the study provides a bibliometric method to examine the keywords’ relation. The results focus on developing a theoretical framework to investigate ASA and reveal the need to investigate the relationship between knowledge and attitude to improve sustainable behavior for achieving sustainable development goals. This contributes to the literature gap regarding ASA. The research limitations are open issues for future researchers to promote sustainability awareness.

Managing empty-container movements is one of the most challenging logistics problems in the shipping field. With the growth of global trade imbalance, the repositioning process has become necessary, immediately after emptying a container. The main contribution of this research paper is to enrich the most frequently used methods, models, and applications in the literature, for relaxing the empty-container-repositioning problem. The article presents practices that vary between organizational policies, technical solutions, and modelling applications. A review of optimization models has been used for comparisons, based on specified criteria, such as the time frame, inputs, outputs, scale of the project, and value. Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) was applied through the online database Web of Science (WOS). It gives a comprehensive description of all the relevant published documents. On the basis of conducting a brief systematic review, future research opportunities have been determined, considering the emerging phenomena in container transport chains.

Inefficient inland repositioning of empty containers between depots remains a persistent challenge in container logistics, contributing significantly to unnecessary truck movements, elevated operational costs, and increased CO₂ emissions. Acknowledging the importance of this problem, a large amount of relevant literature has appeared. The objective of this paper is to track the empty container flow between ports, empty depots, inland terminals, and customer premises. Additionally, it aims to simulate and assess CO₂ emissions, capturing the dynamic interactions between different agents. In this study, agent-based modeling (ABM) was proposed to simulate the empty container movements with an emphasis on inland transportation. ABM is an emerging approach that is increasingly used to simulate complex economic systems and artificial market behaviours. NetLogo was used to incorporate real-world geographic data and quantify CO₂ emissions based on truckload status and to evaluate the other operational aspects. Behavior Space was also utilized to systematically conduct multiple simulation experiments, varying parameters to analyze different scenarios. The results of the study show that customer demand frequency plays a crucial role in system efficiency, affecting container availability and logistical tension.