publications

Citation: Lampoltshammer, T. J., Wallinger, S., & Scholz, J. (2023). Bridging Disciplinary Divides through Computational Social Sciences and Transdisciplinarity in Tourism Education in Higher Educational Institutions: An Austrian Case Study. Sustainability. https://doi.org/10.3390/su15108133 Abstract: Grand societal issues such as climate change and technological disruption challenge all industry sectors, including tourism. To cope with these challenges, new sustainable business …

Bridging Disciplinary Divides through Computational Social Sciences and Transdisciplinarity in Tourism Education in Higher Educational Institutions: An Austrian Case Study Weiterlesen »

Citation: Lemmel, J. et al. (2024). Prediction of Tourism Flow with Sparse Geolocation Data. In: Haber, P., Lampoltshammer, T.J., Mayr, M. (eds) Data Science—Analytics and Applications. iDSC 2023. Springer, Cham. https://doi.org/10.1007/978-3-031-42171-6_6 Abstract: Modern tourism in the 21st century is facing numerous challenges. Among these the rapidly growing number of tourists visiting space-limited regions like historical cities, museums …

PREDICTION OF TOURISM FLOW WITH SPARSE GEOLOCATION Data Weiterlesen »

Citation: Wallinger, S., Grundner, L., Majic, I., Lampoltshammer, T.J. (2023). Agent-Based Modelling for Sustainable Tourism. In: Ferrer-Rosell, B., Massimo, D., Berezina, K. (eds) Information and Communication Technologies in Tourism 2023. ENTER 2023. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-031-25752-0_40 Abstract: Agent-based modelling (ABM) is a computer-based system to simulate the interactions, relationships and …

Agent-Based Modelling for Sustainable Tourism Weiterlesen »

Citation: Majic, I., Scholz, J., Bulbul, R., Wallinger, S. (2023). Tourist Flow Simulation in GAMA Using Historical Data Parameters. In: Ferrer-Rosell, B., Massimo, D., Berezina, K. (eds) Information and Communication Technologies in Tourism 2023. ENTER 2023. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-031-25752-0_27 Abstract: Decision makers in the tourism sector deal with various issues …

Tourist Flow Simulation in GAMA Using Historical Data Parameters Weiterlesen »

Citation: Julian Lemmel, Zahra Babaiee, Marvin Kleinlehner, Ivan Majic, Philipp Neubauer, Johannes Scholz, Radu Grosu and Sophie A. (Gruenbacher) Neubauer (2022). „Deep-Learning vs Regression: Prediction of Tourism Flow with Limited Data“. IJCAI’22 workshop AI4TS: AI for time series analysis, Vienna, Austria (July 23-25, 2022). Abstract: Modern tourism in the 21st century is facing numerous challenges. …

Deep-Learning vs Regression: Prediction of Tourism Flow with Limited Data Weiterlesen »

Citation: Thomas J. Lampoltshammer, Stefanie Wallinger & Johannes Scholz (2022) “Data-driven Tourism for Sustainability: The Role of Transdisciplinarity andComputational Social Sciences in Tourist Studies Programs”. CloudEARTHConference series, Eisenstadt, Austria (18th to 19th May 2022). Abstract: Climate change and the ongoing COVID-19 pandemic have demonstrated how sensitively the tourism ecosystem reacts to disruptive influences and events. …

Data-driven Tourism for Sustainability: The Role of Transdisciplinarity and Computational Social Sciences in Tourist Studies Programs Weiterlesen »