Be Right Beach: A Social IoT System for Sustainable Tourism Based on Beach Overcrowding Avoidance

Girau, Roberto; Ferrara, Enrico; Pintor, Maura; Sole, Mariella; Giusto, Daniele D.

doi:10.1109/cybermatics_2018.2018.00036

Cited by 7 publications

(6 citation statements)

References 18 publications

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“…An IoT-based system for smart tourism services has been implemented towards smart museum navigation which improves visitor's cultural experience (Fiore et al, 2016). Third, a system (BRB (Be Right Beach)) advocates avoiding the overcrowding of beaches by allowing each tourist to choose the right beach to visit to have the best experience (Girau et al, 2018). This system consists of control units equipped with an UV sensor, thermometers, a humidity sensor and a camera to predict the crowd.…”

Section: Smart Tourismmentioning

confidence: 99%

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A systematic literature review on the use of big data for sustainable tourism

Rahmadian

Feitosa

Zwitter

2021

Current Issues in Tourism

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Sustainable tourism research focuses on mitigating or remediating environmental, social and economic impacts on tourism. In the past years, Big Data approaches have been applied to the field of tourism allowing for remarkable progress. However, there seems to be little evidence to support that such approaches are an inspiration to sustainable tourism and are being implemented. In this context, we aim to obtain a comprehensive overview of the use of Big Data in sustainable tourism to address various issues and understand how Big Data can support decision-making in such scenarios. To that end, this paper reports on the results of a literature review via a combination of a Systematic Literature Review (SLR) in Software Engineering, and the use of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method. In summary, we investigated four facets: (a) sources of big data, (b) approaches, (c) purposes, and (d) contexts of application. The results suggest that the use of various approaches have impacted practices in sustainable tourism. The findings provide a thorough understanding of the state of the art of Big Data application in sustainable tourism and provide valuable insights to foster growth both in terms of research and practice.

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Section: Smart Tourismmentioning

confidence: 99%

“…This system consists of control units equipped with an UV sensor, thermometers, a humidity sensor and a camera to predict the crowd. Hence, this system provides information and suggestion for tourists based on tourists' preferences and complete information (Girau et al, 2018).…”

Section: Smart Tourismmentioning

confidence: 99%

A systematic literature review on the use of big data for sustainable tourism

Rahmadian

Feitosa

Zwitter

2021

Current Issues in Tourism

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“…Some research has been undertaken on coastal recreation using IoT. Be Right Beach (BRB) was developed consisting of a sensor network with a UV sensor, thermometer, humidity sensor and a camera for crowdedness estimation [13]. The data was collected by a cloud platform that provides useful information about the beaches and suggestions where to go based on user preferences like weather, crowdedness, time of travel etc.…”

Section: B Iot In Coastal Researchmentioning

confidence: 99%

“…Previous research focuses on environmental water quality using IoT. Similar research applies IoT devices to monitor beaches and crowd detection [13]. Several research reviews on [18] LoRaWAN implementation as an effective for IoT-based monitoring systems with a frequency below 1GHz which and some using GSM and Thingspeak [19].…”

Section: Recreational Suitabilitymentioning

confidence: 99%

An IoT-based Coastal Recreational Suitability System using Effective Messaging Protocol

Yahya¹,

Zaki²,

Moung³

et al. 2021

IJACSA

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Coastal recreational activities are one of the main attractions for local public beachgoers and overseas tourists. The accessibility to better-quality coastal water will enhance safety and public health awareness when the information is available. Existing platforms showing the risk of whether a beach is suitable for public recreational use is less available in Malaysia. The Internet of Things (IoT) based system design specifically for coastal recreational suitability may differ from the existing configuration depending on the environment and requirements. This paper reports the design and implementation of an IoTbased system to capture the coastal environmental data and recommend recreational suitability. The system captures sensor data, store it in a database and displays the result using a dashboard. The variable data include the temperature, humidity, rain, pH, turbidity, oxidation-reduction potential (ORP), and total dissolved solids (TDS) in a coastal area. The hardware used in the design is the development boards such as Raspberry Pi, Arduino Uno, and ESP32 controller. The system is developed using PHP, MySQL, and Apache Web Server and can be accessed online at https://ipantai.xyz. When using Message Queuing Telemetry Transport (MQTT) as the effective messaging protocol and HiveMQ broker, the result has shown improvement for message size, throughput, and power consumption. The further potential of an IoT-based system is to bring value for coastal management and serve as a powerful tool to determine whether the coastal area is suitable for the public to access water recreational activities.

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“…Numerous studies of Russian and foreign scientists draw attention to possibilities for the development of tourism in the regions as a key source for the formation of small business and sustainable economic growth (Girau, Ferrara, Pintor, Sole, & Giusto, 2018). However, a number of regions remote from megacities with developed infrastructure are marginalized in the sense that they do not have accessible informational and infrastructure resources (Pelc, 2018).…”

Section: Problem Statementmentioning

confidence: 99%