Showing papers in "Annals of Tourism Research in 2020"

TL;DR: Residents' perceptions of the risks posed by tourism activity are described, and their willingness to pay to reduce public health risks based on hypothetical scenarios are estimated using the triple-bounded dichotomous choice contingent valuation method.

TL;DR: A DSGE model is proposed to examine the impact of the coronavirus outbreak on tourism and supports the policy of providing tourism consumption vouchers for residents.

TL;DR: The need to shape an automated future of tourism as a social phenomenon and an economic activity, hence contributes to theory and practice by providing directions for future research in this area is discussed in this paper.

TL;DR: An Evolutionary Tourism Paradigm is developed, which is based on biological epistemology and theory to address questions in post-COVID-19 tourism research, and its utility for future research endeavors on the Coronavirus pandemic is empirically demonstrated.

TL;DR: The benefits of experimental designs over alternative research approaches for the social sciences, advantages and disadvantages of different types of experiments, review existing experimental studies specific to tourism and hospitality, and offer guidance to researchers who wish to conduct such studies are discussed.

TL;DR: In this article, the authors use an open market valuation approach to assess the expected fallout in four major subsectors within the travel industry (i.e., airlines, hotels, cruise lines and rental cars).

TL;DR: In this article, the authors proposed a model of multifaceted trust in service robots comprised of three constructs (performance, process, and purpose) and tested the trust model that considers institution-based trust, trusting belief, and intention.

TL;DR: In this article, the authors investigated travelers' trust in intelligent autonomous technologies based on two studies involving self-driving transportation and robot bartenders and found that the cognitive trust formation process holds in situations involving intelligent robots as objects of trust.

TL;DR: In this paper, a shift in theoretical focus from creative individuals towards creative districts or places is noted, in line with the developing field of creative placemaking, and case studies of creative development indicate strategies need to be sensitive to local context, and follow some basic design principles.

TL;DR: It is found that pandemic decreases tourist arrivals only for low-income economies, and the paper is the first to use newly developed “Discussion about Pandemics Index”.

TL;DR: In this article, the authors examine how outer journeys can transform our inner consciousness, leading to awakening or enlightenment, and suggest that tourism scenarios involving deep human connectivity, deep environmental connectivity, self-inquiry and engaged contribution or some combination of these four scenarios can shift human consciousness.

TL;DR: The experimental findings suggest that the BBiLSTM model outperforms other competing models like Long Short-Term Memory network, Support Vector Regression (SVR), Radial Basis Function Neural Network (RBFNN) and Autoregressive Distributed Lag Model (ADLM).

TL;DR: Findings indicate that tourists have a strong negative emotional reaction towards disadvantaged tourism-related prices in response to a high (vs low) infectious disease threat.

TL;DR: Findings of this empirical study indicate that tourism demand forecasting based on internet big data from a search engine and online review platforms can significantly improve forecasting performance.

TL;DR: The main results show that terrorist attacks have a strong impact on tourist arrivals and confirm the existence of terrorism spillover, namely the substitution and generalization effects phenomena.

TL;DR: The proposed approach based on long short-term memory networks that can incorporate multivariate time series data, including historical tourism volume data, search engine data and weather data, is applied to forecast the daily tourism volume of Jiuzhaigou and Huangshan Mountain Area, two famous tourist attractions in China.

TL;DR: In this paper, the authors conceptualized a new tourism phenomenon: overtourism, which is based on relevant tourism knowledge on sustainability and related responsibility, and proposed a tourism model, presented in concise pictorial form, brings together the tourism capacities of the sustainability pillars as well as the novel socio-psychological and socio-political capacities.

TL;DR: A large scale mobile phone dataset that captures the cellphone trace of international travelers who visited South Korea is analyzed to understand the spatial structures of tourist activities within three different destinations and reveals multiple “hot spots” in travel destinations and spatial interactions across these places.

TL;DR: Commercial outdoor tourism enterprises can contribute powerfully to the wellbeing of women and families, and will be especially valuable for mental health recovery, following deterioration during COVID-19 coronavirus lockdowns worldwide.

TL;DR: In this article, a tourist transformation model is created, which provides a conceptual foundation for future research, and is relevant for designing and marketing transformative tourism experiences, with consequences on attitude, habits, and behaviour.

TL;DR: The framework proposed synthesizes complex relationships for post-conflict destinations operating “on the edge of chaos”, and enables consideration of key factors that influence their capacity to be resilient, adapt, and recover.

TL;DR: In this article, the authors investigated factors leading to consumer discontinuance in Airbnb usage by analysing online reviews using an inductive qualitative content analysis approach, distinguishing between online and offline service issues.

TL;DR: In this article, the authors provide examples of how the tourism industry can drive a reduction of environmental damage by actively designing brand-owned touchpoints in a way that entices tourists to behave more environmentally friendly.

TL;DR: In this article, the effects of tourism boycotts on a destination's tourist economy can be vast, yet few studies have examined the impacts of such events on the tourist economy, and the authors explored the effects by analysing seven events involving Chinese tourism boycottts during the past decade.

TL;DR: The importance of addressing multisensory aspects in the design of tourism experiences and places has become apparent in a recent strand of research as mentioned in this paper and there has been a substantial growth of studies in the last decade across different countries and journals.

TL;DR: Shared emotions can establish emotional attachment with tourists, which can be crucial for tourism recovery after COVID-19 ends, according to experts.

TL;DR: In this article, the authors examine to what extent emotional place attachment is impacted by people's feelings towards international companies associated with the place, and what mechanism and conditions drive such effects.

TL;DR: The empirical results show that the proposed model outperforms other models in both point and interval forecasts for different prediction horizons, indicating the effectiveness of the proposed approach for forecasting tourism demand, especially for time series with complexity.

TL;DR: In this paper, a longitudinal qualitative study of a multi-cultural festival held in Italy, the Mondiali Antirazzisti (Anti-racist World Cup), is used to show how emotional experiences and patterns of collective action are reproduced by the returning attendees in their home communities through the trans-local appropriation of the event's format.