cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/pwkdwprv3j.1
title: Constrained multi-objective land use allocation optimization under uncertainty

description: This dataset describes the software and data to quantify uncertainty in Pareto fronts arised from spatial data. This dataset contains the Python code for a multi-objective land use allocation optimization under uncertainty. The program is an extension to CoMOLA from Strauch et al. 2019 (https://doi.org/10.1016/j.envsoft.2019.05.003). For a detailed description of CoMOLA, we refer to the article. Before executing CoMOLA under uncertainty, extreme lower and upper bound samples need to be generated from the land use and soil fertility map with quantified uncertainty. That preprocessing is described reproducable with the following Mendeley Dataset: Hildemann, Moritz Jan; Verstegen, Judith (2021), “Sampling procedure of land use and soil fertility map under uncertainty”, Mendeley Data, V1, doi: 10.17632/6x6cccfc4x.1. For every produced extreme sample, CoMOLA needs to be performed with the corresponding land use and soil fertility map. As the computational effort and computation time are high (15-20 hours) and ten optimizations were performed for every extreme sample, the runs were performed in parallel on a high-performance Linux cluster (MEGWARE cluster with 15.120 cores, 412 nodes and Intel Xeon Gold 6140 18C 2.30GHz processors). The program is executable for Python 3.7 and 3.8 in a Linux environment. The changes compared to CoMOLA include: an update to Python 3.8, removal of R components in objecting the objective values, and the implementation of a seeding procedure to inject single-objective optima into the first generation of the Genetic Algorithm. The seeding procedure allowed faster and better convergence. The generated Pareto fronts can be used postprocessing to quantify the uncertainty in objective and solution space. Pseudo-random states are used to assure reproducibility despite the stochastic processes.
DOI: 10.6084/m9.figshare.14327808.v1
title: Analytical model for regional tourism governance – MAGRET

description: Abstract In Brazil, the institutional structure related to contemporary organizations that involve the tourism public policy scenario deliberately acts on the format of regional tourism governance bodies from 2004 with the advent of the Tourism Regionalization Program (PRT) until the present day. current. In this sense, this study aims to present the Analytical Model of Regional Governments of Tourism - MAGRET, which allows to understand the interrelationships of its actors in the multiple scales of public, private and third sector. The model was applied in three Brazilian tourist regions, Costa Verde and Mar - SC, Hortênsias - RS, and Polo Costa das Dunas - RN. These procedures went through qualitative and quantitative stages, with exploratory and explanatory qualifications, involving bibliographic, documentary and internet research (database). The analyzes used 14 categories and 4 analytical dimensions. The information was obtained from the effective members of the regional governments, as well as from their official documents such as (law / decree, bylaws and bylaws). The analyzes took place with application of the analytical model built with the aid of the analytical categories and dimensions. The model was applied through the use of the analysis spiral constructed to understand the management of regional governance. The results were classified as effective and not effective. The effective are considered consolidated, being careful to keep them in a balanced way. The non-effective ones should be improved, always using the basis of the dimensions that indicated which categories need the most attention.
DOI: 10.6084/m9.figshare.14327808
title: Analytical model for regional tourism governance – MAGRET

description: Abstract In Brazil, the institutional structure related to contemporary organizations that involve the tourism public policy scenario deliberately acts on the format of regional tourism governance bodies from 2004 with the advent of the Tourism Regionalization Program (PRT) until the present day. current. In this sense, this study aims to present the Analytical Model of Regional Governments of Tourism - MAGRET, which allows to understand the interrelationships of its actors in the multiple scales of public, private and third sector. The model was applied in three Brazilian tourist regions, Costa Verde and Mar - SC, Hortênsias - RS, and Polo Costa das Dunas - RN. These procedures went through qualitative and quantitative stages, with exploratory and explanatory qualifications, involving bibliographic, documentary and internet research (database). The analyzes used 14 categories and 4 analytical dimensions. The information was obtained from the effective members of the regional governments, as well as from their official documents such as (law / decree, bylaws and bylaws). The analyzes took place with application of the analytical model built with the aid of the analytical categories and dimensions. The model was applied through the use of the analysis spiral constructed to understand the management of regional governance. The results were classified as effective and not effective. The effective are considered consolidated, being careful to keep them in a balanced way. The non-effective ones should be improved, always using the basis of the dimensions that indicated which categories need the most attention.
DOI: 10.17632/6x6cccfc4x.1
title: Sampling procedure of land use and soil fertility map under uncertainty

description: The dataset is composed of input data, the code to process the data and the output data from a sampling procedure for spatial data. The sampling procedure is used to derive samples, that result in extreme lower and upper bound single-objective values. The extreme lower and upper bound samples are used to approximate the extreme Pareto fronts when performing the multi-objective optimization with the samples as input data. To the input data belong a land use map, a patch ID map, a soil fertility map and an uncertainty map, which all have 10*10 cells. In addition, two matrices are included. One matrix defines transition constraints for the land uses of the land use map, the second matrix defines related classification accuracies per land use. The land use map, patch ID map, transition matrix and soil fertility map were reused from the CoMOLA project, produced for research from Strauch et al. 2019 (https://doi.org/10.1016/j.envsoft.2019.05.003). The outputs are divided into three categories. One category is about creating samples from the uncertain land use map with the original soil fertility map. The second category is about creating samples from the uncertain soil fertility map with the original soil fertility map. The third category is about creating samples from both uncertain maps combined. For the first category, the land use maps and the corresponding patch ID maps were stored that resulted in extremely low or high objective values of habitat heterogeneity, forest species richness, crop yield and water yield from 1000 samples (computation time: &lt;1 minute). For category 2, the soil fertility maps are stored that resulted in extremely low and high crop yield objective values with the original land use map were stored from 1000 samples, because the soil fertility map only influences the objective crop yield (computation time: &lt;10 seconds). For category 3, two different soil fertility maps and two different land use map with the corresponding patch ID maps that lead to the extreme lower and upper bound crop yield values are stored. Here, the 1000 samples of category 1 and 2 are reproduced and each sampled land use map is evaluated against every sampled soil fertility map (computation time: ~2 hours). For convenience, additional pickle files were saved containing extreme solutions, extreme objective values and extreme objective values per iteration of the sampling procedure to plot the progression. The execution of the Python script SpatialSampling.py (Python 3.8) needs to be executed to reproduce the sampling procedure. After the simulations, plots are generated in case that the boolean parameter "show_visualizations" (beginning of script) is set to True. Pseudo-random states are used to assure reproducibility despite the stochastic processes.
DOI: 10.6084/m9.figshare.14327810
title: The production of social space in Playa del Carmen, Quintana Roo, Mexico. Spatiality, Sociality and Historicity

description: Abstract The work aims to reveal the social space produced in Playa del Carmen, Quintana Roo, Mexico, to distinguish its form of appropriation and use of space through perception, conception and experience of the target by social agents. The theoretical model is based on the ideas of Henri Lefebvre (1974) and Edward Soja (2008) concerning the production of space and its triad. The techniques applied were non-participant observation, review of files, 233 surveys applied to tourists as well as 43 interviews to key people and residents. It has been identified that the area of Playa del Carmen has been appropriated for purposes of accumulation of capital, fragmenting the city and creating symbolic and physical class frontiers. Its population growth has led to an uncontrolled urban growth which ensues in social problems, causing uprooting from social subjects to the space.
DOI: 10.6084/m9.figshare.14327810.v1
title: The production of social space in Playa del Carmen, Quintana Roo, Mexico. Spatiality, Sociality and Historicity

description: Abstract The work aims to reveal the social space produced in Playa del Carmen, Quintana Roo, Mexico, to distinguish its form of appropriation and use of space through perception, conception and experience of the target by social agents. The theoretical model is based on the ideas of Henri Lefebvre (1974) and Edward Soja (2008) concerning the production of space and its triad. The techniques applied were non-participant observation, review of files, 233 surveys applied to tourists as well as 43 interviews to key people and residents. It has been identified that the area of Playa del Carmen has been appropriated for purposes of accumulation of capital, fragmenting the city and creating symbolic and physical class frontiers. Its population growth has led to an uncontrolled urban growth which ensues in social problems, causing uprooting from social subjects to the space.
DOI: 10.17632/435fgvd57s.1
title: Health care social support, emotions & behavioural intentions

description: The research hypothesises positive relationships between perceived social support and social support satisfaction, negative relationships between perceived social support and post-consumption emotions, positive relationship between social support satisfaction and consumer behavioural intentions, negative relationship between post-consumption emotions and consumer behavioural intentions. Quantitative data was gathered from 630 patients of various hospitals through pre-designed questionnaires using a5-point Likert-type scale. The data was analysed through Structural Equations Modelling (AMOS 18). 4 out of the 8 hypothesis were supported and the study concludes that ‘social support satisfaction’ should be viewed as a strong predictor of positive consumer behavioural intentions of repeat visits, customer recommendation and cooperation with treatment procedures in the health care service industry.
DOI: 10.6084/m9.figshare.14327813
title: Factors that influence consumers’ participation in electronic tourism

description: Abstract Con los avanzos de las Tecnologías de Información y Comunicación (TIC), el turismo se ha convertido en un sector clave de comercio electrónico. En este contexto, muchas empresas han tratado de comprender las razones que llevan los consumidores a participar en el turismo electrónico (e-turismo). Por lo tanto, el objetivo de esta investigación fue analizar diferentes factores que influyen la participación de los consumidores en el turismo electrónico, ya sea al elegir un sitio, recomendarlo o comprar productos turísticos. El estudio es una encuesta aplicada a una muestra de 251 miembros de grupos de turismo en Internet, cuyo modelo propuesto fue testado a través de la técnica de modelado de ecuaciones estructurales. Los resultados apuntan como predictores de la participación de los usuarios en el turismo electrónico, la satisfacción con las experiencias anteriores y la calidad de los productos turísticos, que son los aspectos que más influyen en la intención de comprar y recomendar el sitio. La satisfacción con experiencias previas se destaca como el principal predictor en ambas situaciones. Los resultados obtenidos aquí profundizan la comprensión de las actitudes de los consumidores de servicios electrónicos de turismo, y sirven de referencia a los gerentes e investigadores interesados en esta temática.
DOI: 10.6084/m9.figshare.14327813.v1
title: Factors that influence consumers’ participation in electronic tourism

description: Abstract Con los avanzos de las Tecnologías de Información y Comunicación (TIC), el turismo se ha convertido en un sector clave de comercio electrónico. En este contexto, muchas empresas han tratado de comprender las razones que llevan los consumidores a participar en el turismo electrónico (e-turismo). Por lo tanto, el objetivo de esta investigación fue analizar diferentes factores que influyen la participación de los consumidores en el turismo electrónico, ya sea al elegir un sitio, recomendarlo o comprar productos turísticos. El estudio es una encuesta aplicada a una muestra de 251 miembros de grupos de turismo en Internet, cuyo modelo propuesto fue testado a través de la técnica de modelado de ecuaciones estructurales. Los resultados apuntan como predictores de la participación de los usuarios en el turismo electrónico, la satisfacción con las experiencias anteriores y la calidad de los productos turísticos, que son los aspectos que más influyen en la intención de comprar y recomendar el sitio. La satisfacción con experiencias previas se destaca como el principal predictor en ambas situaciones. Los resultados obtenidos aquí profundizan la comprensión de las actitudes de los consumidores de servicios electrónicos de turismo, y sirven de referencia a los gerentes e investigadores interesados en esta temática.
DOI: 10.6084/m9.figshare.14327814
title: Factors affecting residents’ support for tourism development in protected natural areas

description: Abstract The objective of this article is to analyze the factors influencing residents’ support for tourism development in protected areas. To this end, a hypothetical-deductive, descriptive study was developed, using a quantitative analytical survey. The sample consisted of 180 respondents living in Natal, RN who were visiting the state unit Parque das Dunas. A non-probability sampling technique was used to select respondents. The data collected were analyzed using structural equation modeling (SEM) to verify the relationships between constructs, based on the model of verification of behavioral intentions proposed by Chen and Tsai (2007). The results suggest that the quality of the site is the attribute that has the greatest impact in explaining support for the development of tourism in protected areas. It was also observed that the construct Value significantly interacts with the other study constructs, directly influencing residents’ support. Thus, as a contribution, this study strengthens the understanding of how resident support for tourism development is more likely to happen when socio-environmental value is perceived.
DOI: 10.6084/m9.figshare.14327814.v1
title: Factors affecting residents’ support for tourism development in protected natural areas

description: Abstract The objective of this article is to analyze the factors influencing residents’ support for tourism development in protected areas. To this end, a hypothetical-deductive, descriptive study was developed, using a quantitative analytical survey. The sample consisted of 180 respondents living in Natal, RN who were visiting the state unit Parque das Dunas. A non-probability sampling technique was used to select respondents. The data collected were analyzed using structural equation modeling (SEM) to verify the relationships between constructs, based on the model of verification of behavioral intentions proposed by Chen and Tsai (2007). The results suggest that the quality of the site is the attribute that has the greatest impact in explaining support for the development of tourism in protected areas. It was also observed that the construct Value significantly interacts with the other study constructs, directly influencing residents’ support. Thus, as a contribution, this study strengthens the understanding of how resident support for tourism development is more likely to happen when socio-environmental value is perceived.
DOI: 10.6084/m9.figshare.14327817
title: Travels and Transformation of the Existential Condition: Narratives and Representations in Films Starring the Elderly

description: Abstract Tourism acts as a catalyst for positive changes in the elderly lives by providing possibilities for socialization, escape from routine, knowledge of new realities and cultures. This paper investigates aging representations and narratives of transformation processes in cinema screenplays focused on travel experiences. Analyzing cultural texts such as music, books, advertisements, television programs and films contributes to an understanding of standards and social norms. This kind of research is quite unexplored on the tourism studies, but it is a fact that cinema has become a universal art capable of revealing deep and intimate aspects of society through its narratives and representations. We have selected four films which links elderly, travel and transformation for content analysis: “The Bucket List (2008)”, “The Best Exotic Marigold Hotel (2011)”, “Last Vegas (2013)” and “A Walk in the Woods (2015)”. Right after, we built three categories of analysis: 1) motivation and choice of experiences; 2) consumption; 3) aging and stigma. The final discussion is based on existential philosophy to identify the transformative role of travelling on the elderly lives presented on the movies. Travelling is shown as possibilities to create existential authenticity, as it is capable of decrease negative feelings such as anxiety, depression and physical and psychic isolation.
DOI: 10.6084/m9.figshare.14327817.v1
title: Travels and Transformation of the Existential Condition: Narratives and Representations in Films Starring the Elderly

description: Abstract Tourism acts as a catalyst for positive changes in the elderly lives by providing possibilities for socialization, escape from routine, knowledge of new realities and cultures. This paper investigates aging representations and narratives of transformation processes in cinema screenplays focused on travel experiences. Analyzing cultural texts such as music, books, advertisements, television programs and films contributes to an understanding of standards and social norms. This kind of research is quite unexplored on the tourism studies, but it is a fact that cinema has become a universal art capable of revealing deep and intimate aspects of society through its narratives and representations. We have selected four films which links elderly, travel and transformation for content analysis: “The Bucket List (2008)”, “The Best Exotic Marigold Hotel (2011)”, “Last Vegas (2013)” and “A Walk in the Woods (2015)”. Right after, we built three categories of analysis: 1) motivation and choice of experiences; 2) consumption; 3) aging and stigma. The final discussion is based on existential philosophy to identify the transformative role of travelling on the elderly lives presented on the movies. Travelling is shown as possibilities to create existential authenticity, as it is capable of decrease negative feelings such as anxiety, depression and physical and psychic isolation.
DOI: 10.17632/j6tjg4sdjf.1
title: Data for: The complete mitochondrial genome sequence of Eimeria leuckarti (Eimeriidae, Coccidia, Apicomplexa) infecting domestic horses (Equus ferus caballus)
DOI: 10.6084/m9.figshare.14327819
title: Sharing economy and urban tourist destinations: analysis of Airbnb spatial distribution in Curitiba

description: Abstract The study focuses on the spatial expression of Airbnb and the plataform’s ads to investigate the interrelationship between the spatial distribution of the Airbnb offer and the urban-tourist dynamics of Curitiba. The quantitative method was conducted through spatial data analysis and descriptive statistics, using digital data source (AirDNA, 2017). The results highlight the understanding of the dynamics of Airbnb with the urban-tourist space; the indication that the Airbnb offer does not pose a threat to conventional hotel occupation; the occurrence of multiple advertisements from the same host as a sign of negative externality; the reinforcement of centrality as a common element in the analysis of the spatial distribution of the Airbnb offer and the regions with the best socioeconomic indices; and the eminence of new actors in the local tourist dynamics. The theoretical implications highlight the complex relationships between producers, consumers, local community and public organizations in the context of collaborative economy and the contribution to the discussions about territorial planning of tourism in local level. The conclusion points out that the spatial distribution of Airbnb blurs the limits of what would be the par excellence tourist space of Curitiba, considering new uses of space and its potential for interrelationship.
DOI: 10.6084/m9.figshare.14327820
title: HIT THE LIKE BUTTON! Engagement in posts with digital influencers on the Instagram of Brazilian DMOs

description: Abstract In a scenario of expanding competition between tourist destinations, DMOs face the challenge of positioning them attractively. To this end, these organizations can make use of various communication marketing strategies, including social media, platforms whose effectiveness is measured through engagement. From these channels originate the digital influencers, which in recent years have gained greater academic and marketing prominence. Given this theoretical foundation, this research aimed to measure the degree of engagement in publications with digital influencers on Instagram of Brazilian DMOs, with a time frame between December / 17 and December / 18. To achieve the necessary results to solve the proposed problem, the data mining technique was used in a sample of 11 Instagram profiles from Brazilian state DMOs, selected after a filtering process. The collected data were treated from a quantitative descriptive approach, having as parameter three main indicators, as follows: (1) total publications, (2) likes and (3) comments. All these indexes were defined after consulting the literature on engagement. In addition, a T Test was done between paired samples to verify if there was a significative difference on the means. In general, the results indicated that posts with digital influencers have better results, given the proposed time frame, especially when compared with the indexes of general posts. However, inferential statistics indicated that the differences between means were not relevant. In such a way, the strategy of endorsement by influencers does not seem to produce relevant effects on user interaction in the profiles of Brazilian DMOs. The innovative character of this research stems from the use of the data mining technique to deliver accurate results as to the effectiveness of a rising social media strategy, providing managers with a solid framework for analysis and fostering the field of discussion.