The Impact of Ageing on the Tourism Industry: An Approach to the Senior Tourist Profile

Alén, Elisa; Losada, Nieves; Domínguez, Trinidad Núñez

doi:10.1007/s11205-015-0966-x

Cited by 74 publications

(57 citation statements)

References 47 publications

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“…), travel preferences, and travel purposes. The tourist attributes are diverse, which leads to that the demand is also diverse, driven by the consumption upgrade [142]. Therefore, tourist market segmentation is of great significance to tourism destinations such as the discovery of market opportunities, the planning of right marketing and competition strategies, and the realization of personalized recommendations.…”

Section: Tourist Profilementioning

confidence: 99%

A Review of Text Corpus-Based Tourism Big Data Mining

Zhang

et al. 2019

Applied Sciences

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With the massive growth of the Internet, text data has become one of the main formats of tourism big data. As an effective expression means of tourists' opinions, text mining of such data has big potential to inspire innovations for tourism practitioners. In the past decade, a variety of text mining techniques have been proposed and applied to tourism analysis to develop tourism value analysis models, build tourism recommendation systems, create tourist profiles, and make policies for supervising tourism markets. The successes of these techniques have been further boosted by the progress of natural language processing (NLP), machine learning, and deep learning. With the understanding of the complexity due to this diverse set of techniques and tourism text data sources, this work attempts to provide a detailed and up-, destination image analysis, market demand, etc. Our work also provides guidelines for constructing new tourism big data applications and outlines promising research areas in this field for incoming years. Appl. Sci. 2019, 9, 3300 2 of 27 the travel. In order to utilize this user-generated content properly and further to meet the needs of tourists and promote the tourism industry, we need to analyze and exploit tourists' needs and opinions, and then identify the problems of tourism services or destinations, which has become a new path for tourism development. Besides, as tourism needs become increasingly personalized, visitors begin to pursue self-likeness, self-worth, and diversified travel experiences, and they are no longer willing to endure delays or waits. How to recognize and respond to visitors' behaviors and needs quickly and identify potential customers have become essential factors for the success of tourism stakeholders. By exploiting the subjective information contained in tourism text data, we can assist tourism stakeholders to provide better services for tourists.A large number of text mining techniques have been proposed and applied to tourism text data analysis for creating tourist profiles [8][9][10][11][12][13][14][15] and making effective market supervision [16][17][18][19][20][21][22][23][24][25]. These approaches exploit a variety of text representation strategies [26][27][28][29][30][31][32] and use different NLP techniques for topic extraction [33], text classification [34], sentiment analysis [35], and text clustering [36]. Moreover, while aiming to make computers understand human language, NLP has become the essential tool for text data analysis and is undergoing fast-pace growing based on the applications of deep learning in word embedding, syntax analysis, machine translation, and text understanding. Machine learning-based NLP techniques have been widely used in tourism text analysis, with superior results [19,25]. In addition, due to its high capability for extracting selective and invariant features from texts, and its independency of prior knowledge and linguistic resources, deep learning has been reported to achieve higher performance than other approaches on many NL...

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Section: Tourist Profilementioning

confidence: 99%

A Review of Text Corpus-Based Tourism Big Data Mining

Zhang

et al. 2019

Applied Sciences

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“…Es así como la demanda turística analiza variables explicativas socio-demográficas y económicas (Alén, 2016) tales como el nivel de ingreso de los turistas, edad, género, estatus profesional, los costos de destino, precios de sustitución, tipos de cambio y variables socio-demográficas que afectan el gasto turístico, mencionando entre éstas la composición del hogar, la edad, educación, ocupación y el ingreso, caracterizandolos como un determinantes significativos (García, et al, 2015). Complementariamente, otros estudios identifican que la edad y el sexo son factores determinantes en la intención de realizar una visita a un lugar de destino, a causa de no haber hallado diferencias significativas en las dimensiones situación económica o nivel educativo (Sung, et al 2015).…”

Section: Revisión De La Literaturaunclassified

“…La razón detrás de tal consideración radica en que los adultos mayores dan mayor importancia a los viajes en su tiempo de ocio durante la jubilación que las generaciones previas (Alén, et al, 2016). Otros estudios señalan al cambio climático como un factor que puede ser devastador para los destinos turísticos de verano (Saverimuttu y Varua, 2014), pudiendo ocasionar que algunos lugares turísticos luzcan menos atractivos pudiendo ser calificados como de entornos peligrosos, en tanto puedan acarrear efectos negativos y traer consigo el eventual declive del turismo y la generación de grandes pérdidas económicas para zonas determinadas (Scott et al, 2012).…”

Section: Revisión De La Literaturaunclassified

Nivel de Satisfacción e Intención de Repetir la Visita Turística. El Caso del Cantón Playas, en Ecuador

et al. 2018

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* Autor a quien debe ser dirigida la correspondencia.Recibido Mar. 14, 2017; Aceptado May. 16, 2017; Versión final Jul. 5, 2017, Publicado Feb. 2018 Resumen La presente investigación estudia la relación entre los diversos atributos que explican la satisfacción percibida por el turista y su influencia en la intención de repetir la visita turística al Cantón Playas, Ecuador. En el estudio se consideran algunas características socio-demográficas de los encuestados tales como estado civil, edad, ingreso mensual, ciudad de origen y el hecho de viajar solo o acompañado. Se aplicó una encuesta a una muestra final de 556 turistas en dos instancias de feriados locales. Se utilizó un análisis de regresión logística binaria como herramienta para determinar la probabilidad de repetir la visita turística. Los principales resultados del modelo evidenciaron que las variables socio-demográficas nivel de educación, ciudad de origen y viajar acompañado, así como atributos relacionados a la variedad de la oferta turística, precio, clima y los canales de distribución son estadísticamente significativos. En otras palabras, aquellos que respondieron positivamente a los cuatro atributos, tienen un alto grado de estudio, viven en zonas aledañas y viajan acompañados y tienen mayores probabilidades de repetir la visita al cantón Playas. Palabras clave: satisfacción turística; repetición de visita; regresión logística binaria; atributos turísticos. Level of Satisfaction and Intention of Repeating the Touristic Visit. The Case of Canton Playas, in Ecuador AbstractThis work studies the relationship between various attributes that may explain the perceived satisfaction of tourists and their influence on the intention of repeating the visit to the Cantón Playas, Ecuador. The study considers some socio-demographic characteristics of the respondents such as marital status, age, monthly income, city of origin and whether they travel alone or accompanied. A survey was applied to a final sample of 556 tourists in two periods of local holidays. A binary logistic regression analysis was used as a tool to determine the likelihood of repeating the visit. The main results of the model showed that the sociodemographic variables level of education, city of origin and accompanied traveling, as well as attributes related to the variety of the touristic offer, price, climate and distribution channels are statistically significant. In other words, those who responded positively to the four attributes have a high level of education, live in surrounding areas and travel accompanied, are more likely to repeat the visit to Playas.

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“…The combination of learning about the world, people, cultures with great fun have turned out to be an ideal solution for seniors. This age group also has a significant impact on the tourist industry (Alen et al, 2016;Cristobal-Fransi et al, 2017). Additionally, at present there are a lot of actions aimed at adapting areas, degraded as a result of human activity, for tourist and recreational purposes, which can later be used by everyone, including senior citizens (Dwucet, 2016).…”

Section: Society Integration Educationmentioning

confidence: 99%

Leisure Time and Activity of Seniors as Exemplified by the Częstochowa Centre for Senior Activity

Nowińska

Bakota

2018

SIE

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Over the last quarter of a century the changing age structure in Poland could be observed. A significant part of the society is made up of seniors, which enforces senior policies whose mission is to provide model solutions to the problems of the elderly. A wide range of offers makes it possible to encompass any needs of the elderly in different aspects of their existence, including: health, activity/sport, managing leisure time and a number of areas concerning economic, social, cultural, and other problems in order to improve the quality of their lives. The ageing society results in the avalanche of needs, including those related to health. A person of advanced age becomes less efficient with health problems appearing on the physical and mental plane, which is associated with the financial burden of the State, queues in healthcare and many other, equally unpleasant effects. To a large extent, this could be prevented by providing the elderly help in maintaining physical fitness and mental well-being. The aim of this paper is to draw attention to the fact how the elderly manage their leisure time, which, at the same time, will be indicative of their needs in this respect. The examined group (50 people) are the elderly - women and men of different educational backgrounds, aged 60 or more who most often already have fixed income. From among these fifty, 25 people spend their leisure time in the Częstochowa Centre for Senior Activity, and the remaining 25 respondents - for comparison - are people who act on their own in order to fill their spare time for themselves. The method used for the survey was a diagnostic opinion poll, and the research tool - a questionnaire survey.

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The Impact of Ageing on the Tourism Industry: An Approach to the Senior Tourist Profile

Cited by 74 publications

References 47 publications

A Review of Text Corpus-Based Tourism Big Data Mining

A Review of Text Corpus-Based Tourism Big Data Mining

Nivel de Satisfacción e Intención de Repetir la Visita Turística. El Caso del Cantón Playas, en Ecuador

Leisure Time and Activity of Seniors as Exemplified by the Częstochowa Centre for Senior Activity

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