In Search of Underwater Atmosphere: A New Diving World on Artificial Reefs

Bideci, Caglar; Cater, Carl

doi:10.1108/s1871-317320190000016023

Cited by 11 publications

(5 citation statements)

References 15 publications

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“…Human hearing is also remarkably different underwater. Not only are we unable to speak to one another within liquid environments—something which remarkably changes the way affective atmospheres are shaped and transmitted (Bideci & Cater, 2019)—but we also hear in different ways. Sound travels five times faster underwater than it does in air, with serious consequences for the way we interpret the proximity of sound‐emitting sources, as well as their direction, thus giving rise to feelings of disorientation (Merchant, 2011b).…”

Section: Embodied Experiences Of the Underwater Worldmentioning

confidence: 99%

The past, present, and future of underwater spaces: From tourist experiences to the possibility of habitation

Vannini

2024

Geography Compass

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This paper reviews contemporary geography literature pertaining to the development and experience of underwater spaces. Examining the underwater world as a space of practices, experiences, and visions that are both phenomenologically and geopolitically rich, the review covers research studies from human geography and cognate fields concentrating on the tourism and travel literature. After a brief overview of the many activities taking place underwater worldwide—from the evolution of the mythical Atlantis to the development of modern‐day Atlantis such as underwater hotels—the paper focuses studies in three areas: the consumption of cultural and natural heritage, Self‐contained underwater breathing apparatus diving and divers' experiences, and the possibility of human inhabitation of underwater realms in habitats such as underwater hotels and submarine research sites. It is argued that by becoming more familiar with underwater spaces, geographers who concentrate on tourism and marine environments can gain new perspectives that are likely to challenge the terrestrial imagination.

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Section: Embodied Experiences Of the Underwater Worldmentioning

confidence: 99%

The past, present, and future of underwater spaces: From tourist experiences to the possibility of habitation

Vannini

2024

Geography Compass

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“…It is represented by the following keywords: Diving, Reef, Coral, Oil, Marine, Spill, Sea, Coral Reef, Coastal, Specie, Water, Island, Area, Site, Impact, Ecosystem, Coast, Environmental, Damage, and Pollution. We discovered several dimensions and topics by reviewing academic documents that belong to this parameter including, among others, managing awareness of the significance of external risks to local diving operators [123], constructing artificial reefs to preserve coral reefs from several threats such as climate change, heavy human activity, and commercial usage, providing new tourist destinations that change diving and diving experiences [124], developing scuba diving guide features to ensure diver safety and environmental impact considerations associated with this activity [125], supporting the socioeconomic enhancement of coastal zones and islands by developing maritime infrastructure such as diving parks [126], and educating scuba divers to achieve environmental goals for coral reef protection [127].…”

Section: Diving Tourismmentioning

confidence: 99%

Smarter Sustainable Tourism: Data-Driven Multi-Perspective Parameter Discovery for Autonomous Design and Operations

2023

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Global natural and manmade events are exposing the fragility of the tourism industry and its impact on the global economy. Prior to the COVID-19 pandemic, tourism contributed 10.3% to the global GDP and employed 333 million people but saw a significant decline due to the pandemic. Sustainable and smart tourism requires collaboration from all stakeholders and a comprehensive understanding of global and local issues to drive responsible and innovative growth in the sector. This paper presents an approach for leveraging big data and deep learning to discover holistic, multi-perspective (e.g., local, cultural, national, and international), and objective information on a subject. Specifically, we develop a machine learning pipeline to extract parameters from the academic literature and public opinions on Twitter, providing a unique and comprehensive view of the industry from both academic and public perspectives. The academic-view dataset was created from the Scopus database and contains 156,759 research articles from 2000 to 2022, which were modelled to identify 33 distinct parameters in 4 categories: Tourism Types, Planning, Challenges, and Media and Technologies. A Twitter dataset of 485,813 tweets was collected over 18 months from March 2021 to August 2022 to showcase the public perception of tourism in Saudi Arabia, which was modelled to reveal 13 parameters categorized into two broader sets: Tourist Attractions and Tourism Services. The paper also presents a comprehensive knowledge structure and literature review of the tourism sector based on over 250 research articles. Discovering system parameters are required to embed autonomous capabilities in systems and for decision-making and problem-solving during system design and operations. The work presented in this paper has significant theoretical and practical implications in that it improves AI-based information discovery by extending the use of scientific literature, Twitter, and other sources for autonomous, holistic, dynamic optimizations of systems, promoting novel research in the tourism sector and contributing to the development of smart and sustainable societies.

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“…It is represented by the following keywords, Diving, Reef, Coral, Oil, Marine, Spill, Sea, Coral Reef, Coastal, Specie, Water, Island, Area, Site, Impact, Ecosystem, Coast, Environmental, Damage, and Pollution. We discovered several dimensions and topics by reviewing academic documents that belong to this parameter including, among others, managing awareness of the significance of external risks to local diving operators [111], constructing artificial reefs to preserve coral reefs from several threats such as climate change, heavy human activity, and commercial usage and providing new tourist destinations that changed diving and diving experiences [112], developing scuba diving guide features to ensure diver safety and environmental impact considerations associated to this activity [113], supporting the socioeconomic enhancement of coastal zones and islands by developing maritime infrastructure, such as diving parks [114], and educating scuba divers to achieve environmental goals for coral reef protection [115].…”

Section: Diving Tourismmentioning

confidence: 99%

Smarter Sustainable Tourism: Data-Driven Multi-Perspective Parameter Discovery for Autonomous Design and Operations

Alsahafi¹,

Alzahrani²,

Mehmood³

2023

Preprint

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The Global natural and manmade events are exposing the fragility of the tourism industry and its impact on the global economy. Prior to the COVID-19 pandemic, tourism contributed 10.3% to the global GDP and employed 333 million people but saw a significant decline due to the pandemic. Sustainable and smart tourism requires collaboration from all stakeholders and a comprehensive understanding of global and local issues to drive responsible and innovative growth in the sector. This paper presents an approach for leveraging big data and deep learning to dis-cover holistic, multi-perspective (e.g., local, cultural, national, and international) and objective information on a subject. Specifically, we develop a machine learning pipeline to extract parameters from academic literature and public opinions on Twitter, providing a unique and comprehensive view of the industry from both academic and public perspectives. The academic-view dataset was created from the Scopus database and contains 156,759 research articles from 2000 to 2022, which were modelled to identify 33 distinct parameters in 4 categories: Tourism Types, Planning, Challenges, and Media &amp; Technologies. A Twitter dataset of 485,813 tweets was collected over 18 months starting March 2021 to August 2022 to showcase public perception of tourism in Saudi Arabia, which was modelled to reveal 13 parameters categorized into two broader sets: Tourist Attractions and Tourism Services. Discovering system parameters are re-quired to embed autonomous capabilities in systems and for decision-making and problem-solving during system design and operations. The proposed approach improves AI-based information discovery by extending the use of scientific literature, Twitter, and other sources for autonomous, dynamic optimizations of systems, promoting novel research in the tourism sector and contributing to the development of smart and sustainable societies. The paper also presents a comprehensive knowledge structure and literature review of the tourism sector based on over 250 research articles.

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In Search of Underwater Atmosphere: A New Diving World on Artificial Reefs

Cited by 11 publications

References 15 publications

The past, present, and future of underwater spaces: From tourist experiences to the possibility of habitation

The past, present, and future of underwater spaces: From tourist experiences to the possibility of habitation

Smarter Sustainable Tourism: Data-Driven Multi-Perspective Parameter Discovery for Autonomous Design and Operations

Smarter Sustainable Tourism: Data-Driven Multi-Perspective Parameter Discovery for Autonomous Design and Operations

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