Issues arise such as evaluating the efficiency and sustainability of airplane boarding strategies, simulating airplane boarding through the use of apron buses and the two doors of the airplane, testing classical and new methods for airplane boarding within various conditions, proposing new methods for accelerating the boarding process, analyzing the efficiency of the boarding methods from the perspective of the passenger health [8; 13; 14]. In the area of sea transportation, a series of ABM approaches have been provided in the following research directions: exploring varied wind-assisted ship propulsion technologies to enhance maritime efficiency and sustainability [15], simulating nautical services within ports, thereby facilitating a comprehensive comprehension of their intricate dynamics [16], modeling the disruptions of maritime trade chokepoints and the global liquefied natural gas [17], modeling the maritime traffic in piracy-affected waters [18], exploring the effects of policy instruments on the transition of the maritime fuel system away from heavy fuel oil [19]. Furthermore, due to the spatial characteristics offered by the ABMs, they have been devised to address the intricate dynamics of evacuation scenarios in cruise ship evacuation [20]. As for the transport operating by road, a series of ABM applications have focused on presenting a robust model for tackling cross-docking challenges, thereby streamlining logistics operations [21], facilitating simulations to gauge the ramifications of introducing shared bikes and e-scooters on existing travel modalities [22], scrutinizing the effects of automated mobility-on-demand services on the broader public transportation landscape [23], experimenting with the significance of traffic information exchange in ameliorating traffic congestion [24], conducting a comparative analysis between two operational strategies of public transport services, namely fixed-route transit (FRT) and demand-responsive transport (DRT) [25], employing simulations to bolster urban public transport systems, with direct implications for contingency planning [26], attaining cooperation in road networks [27], simulating the diffusion of information between road freight transport agents [28]. Another area of research connected to road transportation is related to the risks associated with this type of transportation. As a result, [PERSON] et al. [29] study the behavior of the pedestrian while road crossing, especially in the context of the occurrence of the automated vehicles, while [PERSON] [30] proposes an ABM for quantifying the health effects of exposure to non-exhaust road emissions to both drivers and pedestrian groups. Even in the case of road transportation, evacuation issues have been studied in the scientific literature, mostly related to the analysis of the traffic evacuation in road networks [31]. For the transport operating by rail, especially by train or metro, a series of applications have focused on unveiling the intricate interplay between individual behaviors and the overarching performance of high-speed train systems [32] and delving into the influence of behavioral parameters on modal shifts within the realm of public transportation [33]. Furthermore, the inherent advantages offered by agent-based modeling have been harnessed in the development of models pertaining to passenger evacuation from diverse modes of rail transportation: metro station evacuation [34], large transit terminal subway station [35], urban rail transit evacuation [36]. In the broader domain of transport planning, [PERSON] et al. [37] have astutely observed an escalating necessity for the development of ABMs that can efficaciously facilitate decision-making processes by offering a nuanced comprehension of travel behavior. This necessitates a comprehensive understanding of intricate travel patterns, coupled with a keen awareness of their inherent sensitivity to the dynamics of the transport system.