Prediction of the impact on air quality of the cities receiving cruise tourism: the case of the Port of Barcelona

Guerra, Ignacio Ruiz; Moreno, Valentín Molina; Cortés‐García, Francisco Joaquín; Utrilla, Pedro Núñez-Cacho

doi:10.1016/j.heliyon.2019.e01280

Cited by 48 publications

(25 citation statements)

References 44 publications

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“…Particularly, we hope to see future research applying topic modeling and other techniques in order to better serve the individualized preferences of customers and progress towards more sustainable business practices in the tourism industry. For example, research shows that better prediction and understanding of tourists' behaviors can better help inform decisions on how to mitigate environmental impacts from tourism, such as cruise tourism [59], or with tourists renting cars [60]. We expect that better understanding of visitors' behavior in the hospitality industry will better inform policymakers and managers for better environmental practices as well as business practices.…”

Section: Limitations and Future Researchmentioning

confidence: 99%

Topic Modeling of Online Accommodation Reviews via Latent Dirichlet Allocation

et al. 2020

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There is a lot of attention given to the determinants of guest satisfaction and consumer behavior in the tourism literature. While much extant literature uses a deductive approach for identifying guest satisfaction dimensions, we apply an inductive approach by utilizing large unstructured text data of 104,161 online reviews of Korean accommodation customers to frame which topics of interest guests find important. Using latent Dirichlet allocation, a generative, Bayesian, hierarchical statistical model, we extract and validate topics of interest in the dataset. The results corroborate extant literature in that dimensions, such as location and service quality, are important. However, we extend existing dimensions of importance by more precisely distinguishing aspects of location and service quality. Furthermore, by comparing the characteristics of the accommodations in terms of metropolitan versus rural and the type of accommodation, we reveal differences in topics of importance between different characteristics of the accommodations. Specifically, we find a higher importance for points of competition and points of uniqueness among the accommodation characteristics. This has implications for how managers can improve customer satisfaction and how researchers can more precisely measure customer satisfaction in the hospitality industry.

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Section: Limitations and Future Researchmentioning

confidence: 99%

Topic Modeling of Online Accommodation Reviews via Latent Dirichlet Allocation

et al. 2020

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“…ere are two parts to evaluate the energy consumption for tourism activities, which are transportation-related tourism activities and destination-related tourism activities, respectively [19,26], and both illustrate how the tourism affects the air environment. e negative effects on the air environment from tourism have been discussed in the areas worldwide, from developed countries such as Spain [27] to developing ones such as China [28] based on grounded theory, questionnaires, etc.…”

Section: E Effects Of Tourism On Air Environmentmentioning

confidence: 99%

Analysis and Prediction of the Coupling Coordination Relationship between Tourism and Air Environment: Yangtze River Economic Zone in China as Example

Geng

Wei

Zhang

et al. 2020

Discrete Dynamics in Nature and Society

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The results show that the comprehensive development degree (CDD) of the tourism-air environment system mainly maintains stable with fluctuation and the gap among different reaches in the Zone is declining; the coupling coordination degree’s (CCD) tendency in most regions remains similar as in the previous decade. The results illustrate that the method combing information entropy weight and the technique for order preference by similarity to an ideal solution (IEW-TOPSIS), coupling coordination degree model (CCDM), and gray GM (1, 1) prediction model is effective in evaluating the coupling coordination relationship between the subsystems of tourism and air environment and in proposing specific countermeasures for tourism development and air environment governance.

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“…To this extent, government policies must urgently implement sustainable transportation, waste management strategies [4][5][6][7][8][9], sustainable tourism [10,11], and develop low-carbon economies [8].…”

Section: Introductionmentioning

confidence: 99%

Relationships between Renewable Energy Consumption, Social Factors, and Health: A Panel Vector Auto Regression Analysis of a Cluster of 12 EU Countries

2020

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One of the key indicators of a population's well-being and the economic development of a country is represented by health, the main proxy for which is life expectancy at birth. Some factors, such as industrialization and modernization, have allowed this to improve considerably. On the other hand, along with high global population growth, the factor which may jeopardize human health the most is environmental degradation, which can be tackled through the transition to renewable energy. The main purpose of our study is to investigate the relationship between renewable energy consumption, social factors, and health, using a Panel Vector Auto Regression (PVAR) technique. We explore the link between some proxy variables for renewable energy consumption, government policy, general public awareness, the market, lobbying activity, the energy dependence on third countries, and health, spanning the period from 1990 to 2015, for a cluster of 12 European countries characterized by common features. Specifically, our analysis shows the importance of having a stringent policy for the development of renewable energy consumption and its influence over other social factors, rather than the existence of causal relationships between health and renewable energy consumption for the analyzed countries. This kind of analysis has a great potential for policy-makers. Further, a deeper understanding of these relationships can create a more effective decision-making process. Sustainability 2020, 12, 2915 2 of 16Concerning the latter, the increasing interest in renewable energy is also due to Europe's dependency on foreign energy sources and to the recent concerns over the volatility of the price of crude oil [8].Moreover, we are currently witnessing an ongoing debate over how to balance the relationships between human health, environmental concerns, and economic development [12][13][14].In this regard, in December 2019 the European Commission presented the European Green Deal, which establishes that the European Union needs to transform itself into a resource-efficient and competitive economy with zero net emissions of greenhouse gases by 2050, and its economic growth should detach itself from resources use. The main objective is to boost the efficient use of resources by moving to a clean, circular economy, and, consequently, stopping climate change, cutting pollution, and improving the health of population [12].Moreover, European Union member countries launched, at the beginning of 2005, the CO 2 emissions trading scheme. Setting environmental taxes is very useful for two reasons. First, they represent an incentive for companies to research and invest in more environmentally friendly technologies, or to deploy fewer resources. Secondly, the increased fiscal revenue resulting from higher tax collection can be used to reduce taxes on labor, savings, and capital, thereby favoring higher investment in environmental conservation [13].Health, the main proxy for which is life expectancy at birth, certainly represents one of the key indicators of ...

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Prediction of the impact on air quality of the cities receiving cruise tourism: the case of the Port of Barcelona

Cited by 48 publications

References 44 publications

Topic Modeling of Online Accommodation Reviews via Latent Dirichlet Allocation

Topic Modeling of Online Accommodation Reviews via Latent Dirichlet Allocation

Analysis and Prediction of the Coupling Coordination Relationship between Tourism and Air Environment: Yangtze River Economic Zone in China as Example

Relationships between Renewable Energy Consumption, Social Factors, and Health: A Panel Vector Auto Regression Analysis of a Cluster of 12 EU Countries

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