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Byline: Paul Peeters, Stefan Gossling, Susanne Becken A wide range of publications has shown that the tourism sector is increasingly environmentally unsustainable. This is mainly caused by the contribution of aviation to a large and growing amount of Greenhouse Gas (GHG) emissions by tourism. In the light of this, we present an overview of developments in the aviation sector and discuss current options for innovation towards sustainability in three areas: technology, lifestyle, and policy. Due to continuing technological innovation, aviation will be more fuel efficient in the future. But possibilities are limited and will probably not reverse the trend of increasing overall emissions of tourism air transport. With respect to lifestyle it is shown that only a small number of tourist trips causes the main impact. Political innovation may concentrate on financial instruments like tax on international travel, levies on emissions or emission trading are considered. The main challenge will be product innovation within tourism directed at tourism with a smaller air transport component.

The growing number of social media users and vast volume of posts could provide valuable information about the sentiment toward different locations, services as well as people. Recent advances in Big Data analytics and natural language processing often means to automatically calculate sentiment in these posts. Sentiment analysis is challenging and computationally demanding task due to the volume of data, misspelling, emoticons as well as abbreviations. While significant work was directed toward the sentiment analysis of English text there is limited attention in literature toward the sentiment analytic of Chinese language. In this work we propose method to identify the sentiment in Chinese social media posts and to test our method we rely on posts sent by visitors of Great Barrier Reef by users of most popular Chinese social media platform Sina Weibo. We elaborate process of capturing of weibo posts, describe a creation of lexicon as well as develop and explain algorithm for sentiment calculation. In case study, related to sentiment toward the different GBR destinations, we demonstrate that the proposed method is effective in obtaining the information and is suitable to monitor visitors' opinion. [ABSTRACT FROM AUTHOR]

Advances in technology have fundamentally changed how information is produced and consumed by all actors involved in tourism. Tourists can now access different sources of information, and they can generate their own content and share their views and experiences. Tourism content shared through social media has become a very influential information source that impacts tourism in terms of both reputation and performance. However, the volume of data on the Internet has reached a level that makes manual processing almost impossible, demanding new analytical approaches. Sentiment analysis is rapidly emerging as an automated process of examining semantic relationships and meaning in reviews. In this article, different sentiment analysis approaches applied in tourism are reviewed and assessed in terms of the datasets used and performances on key evaluation metrics. The article concludes by outlining future research avenues to further advance sentiment analysis in tourism as part of a broader Big Data approach. [ABSTRACT FROM AUTHOR]

Understanding the complex and adaptive nature of Pacific Island communities is a growing yet relatively unexplored area in the context of tourism development. Taking an ethnographic research approach, this study examines how over 40 years of tourism development have led to complex and multi-scale changes within an Indigenous Fijian village. The study establishes that tourism development has brought a range of ecological shifts that have, over time, spurred far-reaching changes within the embedded sociocultural constructs of the community. The development of the Naviti Resort, a water catchment dam, a causeway and a man-made island have created substantial changes in totemic associations, livelihood approaches, and traditional knowledge structures within Vatuolalai village. The emergence of internal adaptive cycles, and new behaviours, practices and values that redefine the cultural landscape will be discussed. This paper demonstrates the interconnectivity of nature, society and culture within Indigenous communal systems and asserts that ecological changes introduced in one part of a community stimulate complex, non-linear responses in other elements of the socio-ecological system of a Fijian village. [ABSTRACT FROM AUTHOR]

This paper advances understanding of the complex and adaptive nature of indigenous Fijian communities involved in tourism. It examines how tourism-related development has set the people of one Fijian village along two separate development pathways, and explores how preferential access to tourism benefits has created disparities within the community. Complex Adaptive Systems theory and Social Capital theory are used to conceptualise how over 40 years of tourism involvement has influenced development within an indigenous Fijian community. The findings argue that indigenous Fijian communities are non-homogeneous entities, which are constantly in transition, responding and adapting integratively to both internal and external changes over time. The findings show that the emergence of new behaviours and ways of life has led to the collapse of the pre-existing systems of social capital. As a response, community members retreated and regrouped, strengthening internal bonds and social capital in their smaller social units, leading to both dependency and opportunity-seeking behaviours among participants. Ultimately, the paper asserts that money alone does not lead to development, but rather tourism and access to a variety of capital do. [ABSTRACT FROM AUTHOR]

On one flight from Toronto to Paris, the captain gave more than the usual details to the passengers about the aircraft and flight: he proudly announced that the amount of [...]

The Asia-Pacific region is a hot spot for population and tourism growth, both key drivers of water demand. Already, more than 75% of countries in this region are experiencing water stress. The management of water is becoming increasingly pressing, including for the tourism industry. Yet there has been little research into the predictors of water use in tourism in the Asia-Pacific region and opportunities for water saving. Therefore, this article develops both total and per guest night water-use models to determine the drivers of water use in accommodation in the Asia-Pacific region, delves into the differences between regions, and assesses the effectiveness of different water-saving measures. The results suggest geographical differences in water use that are influenced by climate zone and pool facilities. Importantly, the per guest night water-use model indicates that there are economies of scale to water use and that low/dual-flush toilets can significantly conserve water. [ABSTRACT FROM AUTHOR]

The last decade has seen Australia's economy undertake a significant transformation, with a rapid resurgence in mining. The high exchange rate that has arisen as a consequence of this boom has resulted in a number of other Australian industries becoming less competitive, leading to a two-speed economy. For the tourism industry, the result has been declining visitation, with some commentators attributing this decline directly to the mining boom. This paper explores how the media frames tourism- and mining-related issues regarding the current mining boom in Australia by undertaking a content analysis of 265 online newspaper articles relating to tourism and mining in Australia. The impact of mining on the tourism sector was frequently identified as a key issue, with the rapid expansion of mining increasing competition for labour, resources and infrastructure, as well as having the propensity to destroy certain tourism products. Journalistic techniques, such as hedging, were found to be prevalent in the media reporting, potentially leading to confusion surrounding key issues relating to tourism and mining in the public forum. Future research should seek to explore strategies that could be used by government and businesses to build sustainable, resilient regions through tourism and mining. [ABSTRACT FROM AUTHOR]

The global tourism industry has benefited from exceptional growth; however, a number of challenges have the potential to seriously undermine the industry's future aspirations. This research uses social representation theory to understand how the social group of tourism experts makes sense of the phenomena of "tourism growth", "low-carbon tourism", "peak oil" and "risks for tourism", and whether representations are indicative of different underlying paradigms. A total of 101 experts from various tourism professions and key demographics were interviewed using the free associations method. The findings reveal distinct representations of the four phenomena, but also significant linkages between them, in particular in relation to the global economy, transportation, energy supply and sustainability. Further, whilst experts appear grounded in the Dominant Social Paradigm of consumerism and neoliberal capitalism, there is evidence of alternative views that question some of the fundamental assumptions of the growth paradigm. In particular, when asked about low-carbon tourism and peak oil, experts advanced associations that indicated an Alternative Paradigm. A broader paradigm shift originating from within tourism, however, alone is unlikely. [ABSTRACT FROM AUTHOR]

Inbound tourist arrivals into China have been declining in recent years, possibly in response to increasing levels of urban air pollution. To examine Westerners' contemporary views on China as a travel destination, with a particular focus on air pollution, this research surveyed 600 US and Australian residents. An online panel survey collected data on cognitive and affective destination image, cognitive and affective risk perceptions, intention to visit China and key demographic variables. The findings show that, while China's cognitive image attributes were perceived positively, potential travellers expressed negative views about travel risks in China in general and about air quality in particular. Importantly, feelings towards the risk of air quality had a significant negative impact on destination image as well as intention to visit China. The research contributes to theory by highlighting the importance of considering affective risk perceptions in destination image studies. While some market segments seemed less sensitive to air pollution than others, this paper concludes that unless China proactively addresses the problem of air pollution, for example by seeking to stimulate positive feelings, international arrivals may continue to be compromised. [ABSTRACT FROM AUTHOR]