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This paper analyzes the evolution of research undertaken in the last 35 years on tourist demand in Spain. The research considered has been classified into three fields with their own specific touristic characteristics; research projects that have been oriented toward the study of demand as a whole, those that study the origin of demand in specific zones and destinations and thirdly, those that address the demand of concrete tourist products and services. Forecast studies on tourist demand which are included in some of the above will also be included in this paper. The revision of these studies will take three basic factors into account: the area and the objectives of the project, the method used and the application and practical utility of the study.

Several studies have been made that analyze factors that affect the demand of tourism from several optics. This paper aims to study the factors that determine the demand for tourism in Mexico, through an econometric analysis, by using the Johansen cointegration model (1991) to determine the long-term elasticity between the demand of tourists and the wealth related to its main markets (the USA and Canada) and the relative prices in Mexico and its two main competitors (the Dominican Republic and Costa Rica).

The authors used econometric analysis using Johansen’s cointegration model (1991), using as a dependent variable the demand of tourists from the main countries of origin (the USA and Canada), taking as data the number of tourists by air in the period 1980-2015, according to information from the SIIMT. The independent variables are the relative wealth of the country of origin of the tourists (wealth of the tourist in Mexico concerning the wealth in their country of origin) and the relative prices of the destination country with respect to the country of competition. The source for per capita income and the consumer price index is the World Bank.

The results obtained in this document show that in the long-term the price is a factor of impact in the purchase decision of both markets analyzed. Presenting an elastic demand to the price, which implies that the market is sensitive to the variations of the price of tourist services, opting for the destination that offers better prices, with a higher sensitivity to the price when compared with Costa Rica. Coinciding with previous studies carried out in other tourist destinations, such as in the work of Patsouratis et al. (2005).

The main contribution of this work is to determine the long-term relationship, through a cointegration analysis of Johansen (1991). A methodology that has not been used to perform a competitive analysis between countries. Additionally, the present work uses variables different from those considered in previous works; the dependent variable is the demand of tourists from the main countries of origin (the USA and Canada) and as dependent variables the relative wealth of the country of origin of the tourists (Wealth of the tourist in Mexico with respect to wealth in their country of origin) and the relative prices of the destination country with respect to the country of competition.

While researchers have studied the impact of social media on tourist behaviour Milano et al. (2011) and Hays et al. (2013), very few studies have explored the impact of social media on sustainable tourism, and thus, it can be said to be in its “infancy” (Han et al., 2017). There exists a “knowledge gap” not just with tourists but also with researchers, as the issue on sustainable tourism consumption is “rarely investigated directly in tourism researches” or consumer behaviour studies, and there is often discrepancy in literature on the issue (Cohen et al., 2014; Bray et al., 2011). While the potential for social media in promoting sustainable tourism is known considering the use of it for socialisation and knowledge sharing, empirical researches to make in depth enquiry on the same is “rare” (Ali and Frew, 2010; Sarkar et al., 2014). Also, the differences between markets for sustainable tourism amongst different markets needs to explored further (Weber, 2019). The purpose of this study is to fill this gap by proposing a conceptual framework and empirically testing how social media can be used to generate and promote sustainable tourism demand among through evidences from Indian tourists. RQ1: what are the key drivers to use social media by sustainable tourists? RQ2: can social media promotions help sustainable demand generation through spreading awareness and connecting fellow sustainable tourists?

A total of 350 Indian tourists were reached through Google forms distributed through various channels, amongst which 265 responded with a response rate of 75.7%. The data were coded and checked for any outliers and missing values. To avoid any biases, incomplete forms were not counted and after data cleaning, 250 respondents were found to be appropriate with all the responses. Analysis of demographic and travel profile was done through SPSS 22 to check variances in the groups, frequencies and chi square values were calculated. Since this is an exploratory study, the aim was more on prediction rather than model confirmation, thus the technique used and found to be appropriate was partial least squares structural equation modelling (PLS-SEM).

Variances of social media were used in the demographic groups and found that there was no significant difference found as per age and education. Even variation of travel habits was found to be not significant with social media use. It can be seen that social media promotion activities indeed create awareness amongst people about sustainability; creating awareness about sustainability indeed leads to connecting green tourists together. On the other hand, social media promotional activities may not necessarily connect potential green tourists together; awareness positively impacts the generation of sustainable demand is also supported. It can be seen that merely connecting potential green tourists does not necessarily create demand. Social media promotion activities are indeed instrumental in creating a sustainable demand amongst tourist.

This study takes into account the informational and environmental knowledge aspect of sustainable behaviour adoption by green tourists (Swarbrooke and Horner, 2007; Miller, 2003; Chan et al., 2014). This study draws implications based on the behaviour of Indian tourists and thus, the generalisation to other countries may not be as accurate as Indians differ culturally from the world at large. Even though the study involves different age groups, the mean age is of younger Indian tourists, which is also often considered as the most active users of social media and thus likely to be impacted more. Also, it is believed that these younger green consumers who are already inclined towards sustainability tend to seek more information on ethical issues (Finney, 2014). The sample size of the study is very small (n = 250) and was only checked for variation amongst gender and profession; other aspects such as income and employment (Swarbrooke and Horner, 2007; Miller, 2003) have been kept out of the study and thus not included as a part of demographics. More demographic characteristics can be taken into account to study if they play a mediating role in generating sustainable demand as a part of the analysis of this conceptual framework proposed.

Internet allows users to obtain information about products and brands to its users through various social media such as blogs, forums, wikis content sharing, etc. (Hennig-Thurau and Walsh, 2003; Reilly and Weirup, 2010). Strategies can thus be formulated to target sustainable tourists with sustainable destinations and amenities, so as to attract those tourists who appreciate and commit to the cause of sustainability (López-Sánchez and Pulido-Fernández, 2016). Using social media as a promotion tool can help in educating customers (Xiang and Gretzel, 2010) on the various sustainable tourism services they intend to offer, as the results supports the use of social media promotion for generating sustainable demand amongst the tourists. Also, the sustainable tourism providers can make use of promotional activities focussing on building online pro environmental tourist-based communities using the user generated contents which can positively lead to adoption of collective social behaviour and sustainable practices (Han et al., 2017). Specifically, the use of short interactive messages can be used for social media promotions, so as to increase “organisation prominence” amongst the green target groups online (Strähle and Gräff, 2017). While it was noted that different markets react differently to the idea of sustainability, and thus, different markets need to be explored deeper (Weber, 2019); this study attempts to provide a perspective of Indian tourists which not just adds to the literature on Indian tourist behaviour but also provides a viewpoint of the Asian tourists. It also enriches the existing literature on the use of AIDA model for services and tourism specifically which as a theoretical base is unexplored.

The study adds to the rising interest in understanding the behavioural changes in tourists (Hall, 2016) and provides insights on “the versatility of the topic of relationship between sustainable tourism and marketing” (Font and McCabe, 2017). While ethical consumption is essential to preserve resources, the study of this area of consumer behaviour is “under examined”, as majority studies focus on products, very few studies elucidate on encouraging it through social marketing (Newholm and Shaw, 2007). Thus, this study attempts to fill the gap in the literature by proposing a framework for generating sustainable demand amongst tourists so that they are inclined socially and sustainably both through the use of social media. It is often noted that tourists are unwilling to change their travel behaviour as a result of lack of awareness or due to hesitance of sacrificing (Juvan and Dolnicar, 2014; Miller et al., 2010). This study provides empirical evidence that supports the awareness of sustainability as a means of generating sustainable demand amongst tourists. Knowledge regarding tourism demand helps in the further development of tourism products and its marketing initiatives (Weber, 2019). Thus, it allows tourism players to understand that Indian tourists are open to sustainable tourist practices if enough information is provided to them.

Studies on the impact of tourism in art cities underlined that many cities begun to suffer too many costs because of mass tourism. The problem of costs/benefits balance was in some case further complicated by the quick increase in a peculiar kind of excursionists — the so called false excursionists. Their increase is in fact joined with the spreading around the city of “alternative” accommodations. But false excursionists bring to the destination more costs and less benefits than traditional tourism, as a relevant part of their budget is spent where they are lodging. Thus, this sort of tourism “development” calls for visitors management policies able to reduce costs and maximize the tourism benefits for the city. But these policies require a deep understanding of the relationship between demand and accommodation supply, and between accommodations within and outside the city. And, more important, a continuous monitoring on how these relationships change in time, and why. Pricing and product strategies put into effect by accommodations, joined with changes in the demand behaviour, are in fact the basic variables of a mechanisms that might eventually lead to a substantial increase in false excursionists number and a stagnation in overnight tourists demand, with major consequences on the cost/benefits ratio for the art city as a whole. Aim of this paper is to introduce a set of 10 indicators and, through their application on the Venice situation, show how they can be used to analyze on diachronic terms the impact of accommodation evolution on demand choice.

This research aims to model the existing system of destination competitiveness, identifies leverage points and develop revised model to achieve sustainable competitiveness.

System dynamics is used as method of modeling destination competitiveness. Structure of model utilizes 9-factor model as reference. Leverage points are identified using system archetypes. Revised model is built with resource-based view (RBV). Case study was conducted in Samosir, Toba Lake. Data used are secondary data and results of in-depth interviews.

There are 3 sub-systemic characteristics (archetypes) that hinder competitiveness. They are limit to growth quality gap, fix that fails infrastructure and promotion, tragedy of common lake pollution. Destination was unable to meet tourist expectations. Tourists spending decreased, demand size was small. Industries are unable to increase capabilities. Professionals, entrepreneurs, local workers, supporting industries are less interested in entering industry. Government policies do not match with destination's needs. Lake as main attraction is getting polluted. To achieve sustainable competitiveness, destination must utilize their valuable, rare and inimitable (VRI) resources and capabilities to design unique experiences for tourists, hence sustainable.

Government policy should be shifted to prioritizing development of valuable, rare, inimitable and well-organized resources and capabilities of destination, to produce unique tourist experience and achieve sustainable competitiveness.

Methods and findings, combining system dynamics, system archetype, 9-factor model and RBV to achieve sustainable competitiveness is novel and can enrich tourism sustainable competitiveness theory/concept.

The purpose of this paper is to review recent studies published from 2007 to 2015 on tourism and hotel demand modeling and forecasting with a view to identifying the emerging topics and methods studied and to pointing future research directions in the field.

Articles on tourism and hotel demand modeling and forecasting published mostly in both science citation index and social sciences citation index journals were identified and analyzed.

This review finds that the studies focused on hotel demand are relatively less than those on tourism demand. It is also observed that more and more studies have moved away from the aggregate tourism demand analysis, whereas disaggregate markets and niche products have attracted increasing attention. Some studies have gone beyond neoclassical economic theory to seek additional explanations of the dynamics of tourism and hotel demand, such as environmental factors, tourist online behavior and consumer confidence indicators, among others. More sophisticated techniques such as nonlinear smooth transition regression, mixed-frequency modeling technique and nonparametric singular spectrum analysis have also been introduced to this research area.

The main limitation of this review is that the articles included in this study only cover the English literature. Future review of this kind should also include articles published in other languages. The review provides a useful guide for researchers who are interested in future research on tourism and hotel demand modeling and forecasting.

This review provides important suggestions and recommendations for improving the efficiency of tourism and hospitality management practices.

The value of this review is that it identifies the current trends in tourism and hotel demand modeling and forecasting research and points out future research directions.

This study examines whether international tourism demand in the Visegrád countries is influenced by countries' risk rating on environmental, social and governance (ESG) factors, as non-economic factors relating to ESG risks have been ignored by previous researches on determinants of international tourism demand.

The study investigates panel data for the Visegrád countries comprising the Czech Republic, Hungary, Poland and Slovakia over the period 1995–2019. Recently developed techniques of augmented mean group (AMG) and common correlated effects mean group (CCEMG) estimators are employed so as to take care of cross-sectional dependence, nonstationary residuals and possible heterogeneous slope coefficients.

The regression estimates suggest that besides economic factors, the perception of international tourists regarding ESG risk is another important determinant of international tourism demand in the Visegrád countries. The study also established that income levels in the tourists' originating countries are the most critical determinant of international tourism demand to the Visegrád countries.

The research outcomes of the study include the need for the Visegrád countries to direct policies towards further mitigating their ESG risks in order to improve future international tourism demand in the area. They also need to ensure exchange rate stability to prevent volatility and sudden spikes in the relative price of tourism in their countries.

The purpose of this paper is to analyse museums and theme parks as a tourist package and how the proximity of airports to the city and public transport influence the development of this tourist package to stimulate tourism demand in cities.

Qualitative and quantitative indicators have been applied in our methodology to measure the most visited European theme parks and museums from 2012 to 2022. Moreover, the localisation of airports has allowed us to address the importance of theme parks and museums in cities and their regional economies.

The results suggest that the location of the city, entertainment complementary activity, airport proximity, intermodal passenger transport, air and train accessibility, tourism demand and supply, and a high concentration of population in cities have a high influence on the development of a tourist package that includes museums and theme parks to stimulate the tourism demand in European urban cities. London and Paris are two of the most visited cities in the world, and these are the most attractive European cities for tourists in terms of efficiency because tourists can optimize much better their space and time to visit the city’s tourist attractions during their holidays. Another important finding is that the public transport service plays an important role in museums and theme parks’ visits and the optimization of space-time for tourists when they are visiting a city and its tourist attractions on holidays, especially subways, trains and buses. Although time-space measures of accessibility in public transport in cities must be improved to optimize the time of the native population and tourists.

This research shows the complementary role of museums and theme parks as an attractive tourist package and an entertainment, cultural and educational activity to improve the quality of tourism supply and redistribute tourist flows in European countries. Moreover, there are limited studies that tackle the theme of parks and museums in a tourism context.

The purpose of this paper is to verify the hypothesis that seasonality in the peer-to-peer (p2p) market for tourist accommodation is smaller than the existing in conventional markets, taking the case of the island of Majorca as a reference. This paper will also determine the role of professional hosts in the management of prices and in the marketing of accommodation according to seasonal demand variations.

From the information obtained through web scrapings of Airbnb listings and from data provided by official statistics, comparable indicators of seasonality are developed. Likewise, econometric estimates are provided to detect differences regarding the determination of accommodation prices between professional and nonprofessional hosts.

The p2p market is less subject to seasonality than the conventional one. In the particular case of Palma de Majorca, fluctuations in accommodation demand are even smaller than in the rest of the island's municipalities. Professional hosts apply marketing techniques related to price and product promotion and are sensitive to demand variations altering prices and responding to the economic stimuli in this way. At an academic level, these findings suggest, on the one hand, the relevance of considering the heterogeneity of the touristic market when constructing theoretical models. And, on the other hand, basic economic principles should be applied to explain agent behavior in the p2p market.

This work does not use a direct demand measurement. Instead, it approximates demand through the reviews left by guests in p2p markets. At least in the case of the island of Majorca, the touristic demand represents a reduced percentage of touristic demand in total.

So far, both public and private strategies to combat seasonality have focused on increasing occupancy in conventional accommodation. Still, the fact that hotel demand and private accommodation demand are different has relevant implications for price management, touristic products, supply planning and the implementation of marketing campaigns. Also, advertising could be aimed at alleviating the undesirable effects of seasonality.

The evidence presented helps the design of public policy strategies aimed at mitigating the problem of seasonality in touristic demand to accommodate it to social preferences in each area.

This is the first piece of research, as far as we are aware of, that addresses the phenomenon of demand seasonality in the p2p market for tourist accommodation. In addition, a comparison is made with the seasonal patterns that characterize the conventional hotel market. New ideas are provided for the design of a comprehensive touristic policy in which both markets are considered.

The purpose of this paper is to advance the conceptualisation of dark tourism by evaluating both the supply‐side drivers for dark tourism development and the demand‐side motivations for visiting two dark heritage sites in Cyprus.

An exploratory research approach was adopted whereby 12 semi‐structured interviews were conducted with supply‐side stakeholders and two focus groups were conducted with local and foreign visitors.

Production and consumption of dark tourism is continuous and interrelated as demand appears to be supply‐driven and attraction‐based. Tourist interpretations of dark tourism are influenced by tourists' personal factors, the passage of “time” and the way the dark site is projected by the supply‐side. A refined marketing segmentation strategy is proposed taking into consideration the purpose of visit, the relevance of the dark heritage site to the tourist and the depth of the dark element.

The study's focus is narrow but the findings provide theoretical and practical insights into the conceptualisation dark tourism by considering supply and demand aspects and the related influencing factors. In doing so understanding of the phenomenon is enhanced.