Aim. Although cultural dimensions theory is a topical strand of quantitative cultural research, few intercultural simulation games use it. We present the design and review of the application of OASISTAN, an intercultural role-playing simulation game that is specifically based on cultural dimensions theory. Method. OASISTAN was first designed in 1999 for use in Master’s courses on cross-cultural management at Delft University of Technology in the Netherlands, attracting 20-23 year old students with a Bachelor degree in engineering and from various cultural backgrounds. Since its first design the game has been played approximately 45 times at Delft University of Technology in the Netherlands and three times at Harbin Institute of Technology in China in the years 2006-2008. We reviewed their experiences designing and facilitating OASISTAN since 1999. Results. The game has a no-tech role-play design and revolves around the geopolitically complex region of the Caspian Sea, specifically the fictional country of ‘Oasistan’. The game consists of students forming small teams of Oasistani, Western and non-Western public/private actors collaborating with each other to try and reach the common goal of oil exploration and production in this country. In total 15-30 students were involved. We found that OASISTAN allowed its players not only to intensely experience the difficulty and awkwardness of being confronted with cultural differences, but also to interpret and understand these differences through cultural dimensions. Students who played OASISTAN identified ten out of the 12 dimensions by Maleki and De Jong. The two dimensions that students were not able to identify are uncertainty avoidance and collaborativeness. Conclusion. OASISTAN shows how a game design field (i.e., intercultural simulation gaming) can be reinvigorated in light of new or updated scientific theories pertaining to the field’s subject matter (i.e., cultural dimensions). Several opportunities for future research are identified.
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The following paper presents a methodology we developed for addressing the case of a multi-modal network to be implemented in the future. The methodology is based on a simulation approach and presents some characteristics that make a challenge to be verified and validated. To overcome this limitation, we proposed a novel methodology that implies interaction with subjectmatter experts, revision of current data, collection and assessment of future performance and educated assumptions. With that methodology we could construct the complete passenger trajectory Door to door in Europe. The results indicate that the approach allows to approach infrastructure analysis at an early stage to have an initial estimation of the upper boundary of performance indicators. To exemplify this, we present the results for a case study in Europe.
The Interoceanic corridor of Mexico stands as a pivotal infrastructure project poised to significantly enhance Mexico's national and regional economy. Anticipated to start the operations in 2025 under the auspice of the national government, this corridor represents a strategic counterpart to the Panama Canal, which faces capacity constraints due to climate change and environmental impacts. Positioned as a promising alternative for transporting goods from Asia to North America, this corridor will offer a new transport route, yet its real operational capacity and spatial impacts remains uncertain. In this paper, the authors undertake a preliminary, informed analysis leveraging publicly available data and other specific information about infrastructure capacities and economic environment to forecast the potential throughput of this corridor upon full operationalization and in the future. Applying simulation techniques, the authors simulate the future operations of the corridor according to different scenarios to offer insights into its potential capacity and impacts. Furthermore, the paper delves into the opportunities and challenges that are inherent in this project and gives a comprehensive analysis of its potential impact and implications.
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