iTour: The Future of Smart Tourism: An IoT Framework for the Independent Mobility of Tourists in Smart Cities

Tripathy, Ajaya Kumar; Tripathy, Pradyumna Kumar; Ray, Niranjan Kumar; Mohanty, Saraju P.

doi:10.1109/mce.2018.2797758

Cited by 98 publications

(31 citation statements)

References 9 publications

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“…From an ICT perspective, its technologies are often transversal to all domains and challenges, and they address a number of scenarios of smart cities spanning from e-tourism [88], e-culture [11], e-government [61], smart energy [63], smart mobility [96], e-health/ wellbeing [25], just to mention a few.…”

Section: Smart Citymentioning

confidence: 99%

Internet of Things for enabling smart environments: A technology-centric perspective

Gómez

Chessa

Fleury

et al. 2019

AIS

121

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The Internet of Things (IoT) is a computing paradigm whereby everyday life objects are augmented with computational and wireless communication capabilities, typically through the incorporation of resource-constrained devices including sensors and actuators, which enable their connection to the Internet. The IoT is seen as the key ingredient for the development of smart environments. Nevertheless, the current IoT ecosystem offers many alternative communication solutions with diverse performance characteristics. This situation presents a major challenge to identifying the most suitable IoT communication solution(s) for a particular smart environment. In this paper we consider the distinct requirements of key smart environments, namely the smart home, smart health, smart cities and smart factories, and relate them to current IoT communication solutions. Specifically, we describe the core characteristics of these smart environments and then proceed to provide a comprehensive survey of relevant IoT communication technologies and architectures. We conclude with our reflections on the crucial features of IoT solutions in this setting and a discussion of challenges that remain open for research.

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Section: Smart Citymentioning

confidence: 99%

Internet of Things for enabling smart environments: A technology-centric perspective

Gómez

Chessa

Fleury

et al. 2019

AIS

121

View full text Add to dashboard Cite

show abstract

“…Forging direct relationships with end users is the first step in involving users in the destination promotion process. In this direction, a wide range of frameworks and digital implementation of the SIoT concepts have been recently proposed to strengthen the sustainable mobility in tourism development based on proactive participation of tourists, local citizens and city administration to enhance safety, reduce fraud and the lack of feed-back and availability of proper information about resources and tourist attractions [24], [25].…”

Section: Related Workmentioning

confidence: 99%

From Things to Services: A Social IoT Approach for Tourist Service Management

et al. 2020

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In the context of Internet of Things (IoT), the cooperation and synergy between varied and disparate communicating objects is strained by trustworthiness, confidentiality and interoperability concerns. These restrictions can limit the development of IoT-based applications especially considering the emergent boost in the number of communicating objects and their growing itinerant nature in a collective service context. A new perspective arises with the paradigm of Social Internet of Things (SIoT), that relies on the implementation of semi-independent communicating objects with cooperation assessed by social relations and social feedback. In this article, we present the development and expansion of the IoT concept towards SIoT in the context of the interactions between tourist services as communicating objects. As a proof-of-concept we propose a composition of services as virtualized social objects and the interaction between them, by taking into consideration the balance, trustworthiness, cooperation and synergy of services. Furthermore we present a solution to integrate also accessibility in SIoT services. The presented concept is presented using a demonstrator build for tourist services.

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“…Ruíz et al [8] thought the tourism should be transformed into smart tourism using information and communication technologies, and proposed a tourism content for app development. Tripathy et al [9] proposed a viable IoT-based smart tourism framework called iTour to overcome the insecurity, safety, and fraud issues encountered in current tourism industry. Kang and Ryu [10] applied IoT and virtual reality (VR) techniques to formulate a mobile VR system which can provide tourist information in real time.…”

Section: Related Work a Studies On The Application Of Iot Technmentioning

confidence: 99%

“…IoT based intelligent tourist attractions are equipped with IoT devices and systems such as wireless sensor network (WSN), radio frequency identification (RFID), global positioning system (GPS), two-dimensional bar code recognition equipment, intelligent mobile devices, data processing servers, and management and control center [5], [9]. Figure 1 shows a general framework of IoT based intelligent tourist attractions.…”

Section: Iot Based Intelligent Tourist Attractions and Assessmenmentioning

confidence: 99%

Fuzzy TOPSIS Approaches for Assessing the Intelligence Level of IoT-Based Tourist Attractions

et al. 2019

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With the application of Internet of Things (IoT) in tourism, the functions and management modes of tourist attractions are being greatly updated. It becomes a faced problem to assess the intelligence level of IoT-based tourist attractions. The assessment is helpful for managers to equip their tourist attractions with smart services which further improve the management efficiency and tourist satisfaction. However, there are few recognized standards for the implementation of IoT-based tourist attractions, and the common practice of using the average value to replace multiple assessment scores has a shortage. Motivated by these observations, we present a framework of IoT-based intelligent tourist attractions and recognize specific intelligent functions brought by IoT techniques to tourist attractions. Then, two fuzzy TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) approaches, that is, a centroid-based fuzzy TOPSIS and an integral-based fuzzy TOPSIS, are formulated to deal with the inconsistent assessment scores from multiple experts. An application study shows the effectiveness and advantage of our approaches in comparison with the classical TOPSIS. Both the centroid-based fuzzy TOPSIS and the classical TOPSIS cannot reflect the preferences of decision-makers, but their assessment results are not fully consistent. The assessment results by the integral-based fuzzy TOPSIS are subject to the given optimism level which may make difference on assessment orders. We observe some insightful findings helpful for improving the intelligence level of IoT-based tourist attractions. INDEX TERMS Fuzzy TOPSIS, tourist attractions, Internet of Things, intelligence level assessment.

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iTour: The Future of Smart Tourism: An IoT Framework for the Independent Mobility of Tourists in Smart Cities

Cited by 98 publications

References 9 publications

Internet of Things for enabling smart environments: A technology-centric perspective

Internet of Things for enabling smart environments: A technology-centric perspective

From Things to Services: A Social IoT Approach for Tourist Service Management

Fuzzy TOPSIS Approaches for Assessing the Intelligence Level of IoT-Based Tourist Attractions

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