Airports are a critical component of a region’s network and socioeconomic development. Regardless of the type of airport–commercial, general, regional, national, or international–their construction and development are highly advantageous to communities. Some advantages include, but are not limited to new job opportunities, access to the global market, and increased economic activity. Nonetheless, airport development has some downsides that a community must always account for. These downsides directly impact the sustainability of a region; greenhouse gas (GHG) emissions, energy inefficiencies, water pollution, air pollution, and waste are just a few examples. However, twenty-first century global sustainability efforts are shifting the dynamic of sustainability practices in the U.S. The fight for a balance between socioeconomic benefits and the minimization of negative environmental impacts is advancing thanks to the development and implementation of sustainable practices and technology. For instance, U.S. airport development has seen a rise in the use of sustainable construction technologies and practices. Some of the examples of construction technologies and practices implemented in sustainable airport development are virtual design and construction, Spot by Boston Dynamics, prefabrication, and others. The multiple-case studies based on these technologies and practices indicate joint efforts for sustainability by the aviation and construction industries.

Recent studies found that culture as part of the socio-cultural lens of human factors has a significant role in aviation safety, not limited to aircraft accident causation. This research aims to employ the Global Leadership and Organizational Behaviour Effectiveness (GLOBE) model to examine the effect of cultural influence on aviation accident causation analysis, in accordance with the Human Factors Analysis and Classification System (HFACS), with a focus on cases of Indonesian aviation accidents and US aviation accidents. This qualitative research effort evaluated six cases of Indonesian aviation accidents and six cases of US aviation accidents in the period between 2002 through 2022. The analysis used the preliminary HFACS results developed by the author and further analyzed using semi-structured interviews with six Indonesian aviation experts and four US experts to examine the existence of cultural influence on the accidents. Thematic content analysis was utilized to analyze cultural influence on aircraft accident causation cases based on participants’ narration. The result covered the effect of the cultural differences between Indonesia and the US, including the characteristics of power distance, in-group collectivism, and performance orientation on HFACS analysis, which could logically lead to a more comprehensive analysis of issues at the level of unsafe supervision and organizational influences, and could result in a recommendation regarding future enhancement to the HFACS model.

September 11th, 2001 was a day that affected everyone. The world came to a stop. The aviation industry was affected, and the national airspace system was closed for a few days. The events that occurred on that specific day enacted changes that affect the industry to this day. This paper analyzes some of the changes that were made and discusses some of the changes the industry is going through again, about 20 years after the events on September 11th. The coronavirus pandemic has changed the way we all live our daily lives and aviation is not exempt. Changes to aircraft cleaning procedures, boarding processes, and seat design have all been ways the industry has gone through changes. The results of a potential recovery as well as the long-term changes are discussed.

This study examined the impact of Situation Presence Assessment Method (SPAM) administration on air traffic control (ATC) students’ task workload and performance in high-fidelity ATC simulations. ATC students performed high-fidelity en-route simulations in two conditions: baseline conditions (without SPAM questions) and SPAM conditions. The data collected show that while workload in the two conditions were not significantly different, there was a trend of higher mental workload in SPAM conditions than in baseline conditions. Performance immediately following SPAM questions was revealed to be poorer than that preceding the SPAM questions and that over the equivalent time periods in the baseline conditions. The results suggest that a "Ready" signal before a SPAM question may not be enough to eliminate the impact of SPAM administration on ATC students’ workload and performance in high-fidelity en-route simulations.