Passenger discomfort during flight is greatly influenced by seat interface pressure whose effect varies with time of exposure and passenger anthropometric characteristics.
Existing studies have largely explored static relationships between anthropometric features, seat-interface pressure, and discomfort perception without leveraging these findings for building predictive systems for...
Modern, flexible, data-driven pricing techniques are required for revenue management in the car rental sector, in order to better meet the ever-changing market conditions and erratic customer demand. Traditional pricing approaches often fall short in capturing the inherent volatility and complexity that exist in the particular industry. However, the growing availability of real-time data has...
Tourism stakeholders increasingly seek data-driven methods for tailoring travel experiences to individual interests. This study investigates whether the preferences that travelers express implicitly on social media, together with operational travel data, can be transformed into high-fidelity digital profiles and, subsequently, into personalized travel packages.
During the first phase, we will...
This study presents a statistical framework developed within the TouKBaSEED (Tourism Knowledge Base for Socio-Economic and Environmental Data Analysis) research project to support sustainable tourism planning in the port city of Piraeus, Greece. It integrates quantitative and qualitative methods, combining survey data from returning tourists, new arrivals, and residents with sentiment analysis...
This study presents analytical findings from the GreCO (Green Cultural Oases) project, funded under the European Urban Initiative (EUI). GreCO promotes sustainable cultural tourism in urban environments by leveraging digital innovation, local stakeholder collaboration, and intercultural engagement. Within this framework, a multilingual survey was conducted with over 350 respondents to examine...