A Decentralized Architecture for Dynamic and Federated Access Control Facilitating Smart Tourism Services

Sabbioni, Andrea; Mazzocca, Carlo; Bujari, Armir; Montanari, Rebecca; Corradi, Antonio

doi:10.1145/3524458.3547125

Cited by 1 publication

(2 citation statements)

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“…Smart sensors form an intricate network of interconnected devices embedded within the physical infrastructure of tourist destinations. These sensors, encompassing elements such as occupancy and environmental detectors, as well as location-based tracking devices, continually collect and transmit real-time data (Sabbioni et al 2022a). Consequently, they play a multifaceted role in smart tourism by facilitating data collection that is subsequently analyzed and processed to support informed decision-making.…”

Section: Smart Sensorsmentioning

confidence: 99%

“…Destination managers can leverage this information for better planning of events, resource allocation, and overall destination management (Rafizal Adnan et al 2020). This application of IoT in smart tourism enhances the quality of the tourist experience by preventing overcrowding, reducing wait times, and optimizing the utilization of public spaces (Sabbioni et al 2022a). By offering timely alerts and facilitating data-driven decision-making, the area capacity early-warning system exemplifies how IoT technologies positively impact the efficiency and safety of tourist destinations.…”

Section: Area Capacity Early Warning Systemmentioning

confidence: 99%

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Exploring the Landscape of Smart Tourism: A Systematic Bibliometric Review of the Literature of the Internet of Things

Rosário,

Dias

2024

Administrative Sciences

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This study explores the transformative impact of IoT technologies on smart tourism, striving to boost operational efficiency and enrich the traveler experience. Using a systematic literature review with bibliometric analysis, we examined a sample of 83 studies indexed in SCOPUS to identify research activity on this topic until November 2023. The integration of cutting-edge technologies, including big data, smart sensors, cloud computing, machine learning, artificial intelligence, wearables, mobile applications, augmented reality, and virtual reality, establishes the foundation of the IoT-enabled smart tourism ecosystem. These innovations bring distinct capabilities, from facilitating data collection with embedded sensor technologies to using cloud computing for essential services like data storage and analytics. Examining various IoT applications in smart tourism, such as recommender systems, smart cities, payment systems, and electronic ticketing, reveals their positive effects on safety, efficiency, and personalized services. However, challenges like security, privacy, software complexity, scalability, and interoperability necessitate robust measures. This study identifies future research directions, including enhancing security and privacy, exploring blockchain integration, investigating edge computing, and improving interactions between tourists and smart tourism systems. These endeavors aim to address challenges and seize opportunities, fostering innovative solutions for the evolving needs of the tourism industry in a technologically advanced landscape.

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Section: Smart Sensorsmentioning

confidence: 99%

Section: Area Capacity Early Warning Systemmentioning

confidence: 99%