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Tourist destinations are constantly changing products, evolving as per the controls exerted by the stakeholders. The study aims to map the pattern of tourism development and identify the strategies formed at the destination over a seven-decade period for a state as a unit of analysis.

The paper evaluates tourism development through the tourism area life cycle (TALC) model and uses Mintzberg's strategy analysis process to identify strategies. The study involves time series analysis, pattern matching and explanation-building techniques. The TALC is plotted for the number of tourist arrivals from 1947 to 2019, and strategies are mapped for each stage.

The TALC shows a cycle-recycle pattern of tourism development. The research revealed several strategies at different stages. Both the central and state governments and entrepreneurs, distinctively and in conjunction, have formed strategies. The pattern shows the period of piecemeal and global strategic changes contributing to tourism development.

The research unearths the strategies that drive the development curves of TALC, emphasising the integration of TALC with other theories. The research also assesses the strategy formed in the pre-tourism stage.

The research brings to light the use of TALC as a strategic road-mapping tool. In addition, the study emphasises the significance of global and piecemeal strategic periods and stakeholder's regulatory and operational roles.

The research uses a unique methodology that maps the strategies, periods of strategic changes and incremental strategies for each stage of TALC, along with identifying the stakeholders.

The purpose of this paper is to study determining factors of international tourism demand in Middle Eastern countries.

Panel data pattern is used for data analysis of 1995 to 2013.

Results indicate variables like trade freedom index and gross domestic product (GDP) have positive and significant impact upon tourism demand of the countries of the region. Purchasing power parity (PPP) and GDP per capita are indicators which affect the tourism demand rate in Middle East negatively.

It is estimated that Middle East region will claim for the bulk of tourist arrivals in following years. Therefore, this study is vital for destination managers to plan for demand in future.

This paper aims to provide a network study of the structural and dynamical characteristics of tourism flows in Europe from 1995 to 2012.

Travels in Europe were studied by following the network science research paradigm and by focusing on the whole network of intra-European tourism destinations. Network analysis was used to map and reveal the pattern of connections between states as shaped by bilateral tourism flows. Data were provided by the United Nations World Tourism Organization, and the data were integrated with tourism data available from national statistical offices of the individual countries, when necessary.

For 2012, results obtained from the UNWTO record-based network were compared to geo-located Twitter data as a proxy of human mobility patterns. The present analysis provides evidence of a shift towards an increased homogeneity in the travelling preferences of European tourists, an acquired attitude of visitors to travel shorter distances and a tendency of mobility patterns to merge. Finally, the comparison between UNWTO and Twitter data shows a different spatial distribution of visitors. These results provide a useful insight for policymakers involved in tourism planning.

The contribution of this study is threefold. First, to the best of the authors’ knowledge, this is the only study that focuses on the bilateral tourism flows between all countries falling, geographically or politically, under the definition of Europe. Second, evidence is provided of a shift towards a greater homogeneity in the travelling preferences of European tourists. Lastly, for the first time, this study provides a comparison between topological structure and bilateral mobility patterns of tourism flows, based on two different data-recording methods.

The purpose of this paper is to present a viewpoint about the short- and long-term future of tourism in the light of the effects of the response to Covid-19 and the implications of potential changes tourism might be facing.

The paper is based on a review of current media and academic commentaries and articles on the impact of Covid-19 on tourism, and the likelihood of changes being forced on tourism by external agents of change desiring a different form that the industry should take.

Current concerns and changes in patterns of tourism are being driven by two main forces: restrictions imposed on travel, both domestic and international, and fear by potential tourists and destination hosts of infection being caused by the resumption of tourist travel. The situation is extremely vulnerable, changing long-established patterns of behaviour and the effects of tourism on economies, communities and environments. The future for tourism is seen as generally positive in the long term, but agents of change opposed to the traditional patterns of tourism may create a negative environment that could cause severe disruption to the industry and its customers, unless tourism displays willingness and resolve to correct previously inappropriate ways of operating.

This paper presents a viewpoint about the short- and long-term future of tourism.

Tourism has become a sustainable and viable tool in place making or community revitalization process. Residents’ perceptions of tourism impacts are critical to the sustainability of the tourism industry. This study follows a quantitative research approach to examine how variation in patronage pattern impact its host community using Olumo Rock in Abeokuta, Nigeria, as a case study.

Primary data from 324 residents are analysed using mean scores, chi-square and one-way ANOVA analysis. Secondary data such as the number of monthly patronage and precipitation and temperature were also analysed.

The findings revealed that the majority of residents do not patronize the tourism destination and that patronage patterns were seasonal and varied within and between seasons in Olumo. The perception of the residents living adjacent to the tourism destination established that they experienced positive and sometimes negative regardless of the season of the year or the proximity residential neighbourhood to tourism destination.

The findings of this study are sufficiently valuable to merit further investigation. It also provides an important spatial–temporal platform for future tourism impacts variability research in Nigeria and other countries in the tropic region. Furthermore, it is apparent from this study that temporal analyses in a given tourism destination may not translate effectively into another. In this respect, tourism managers in Olumo Rock should be aware of fluctuation in patronage pattern so as to introduction other attraction components at the right season.

Identifying future tourism demand is a critical aspect for tourism decision-makers to ensure the long-term success of products, services and destinations. This paper discusses how population change, an important driver of tourism demand, may impact future demand patterns. It discusses potential impacts of projected demographic change, especially those resulting from the related aspects of population ageing and changing family structures. A case study amongst Baby Boomers and Generation Y on the Gold Coast, Australia, illustrates how demand patterns may develop over the next 15 years. The study incorporates different population scenarios as projected by the Australian Bureau of Statistics and shows a great diversity of demand amongst both generations. It is suggested that scenarios be used to analyse potential impacts of other determinants to obtain a better understanding of future tourism demand, thus expanding the scope of traditional forecasting methods.

The study examines the spatial pattern of 101 destinations considered important in Nigeria by tourists, and categorised them into various grades, employing a questionnaire survey of 634 tourists randomly selected from seven centres in Nigeria. A standard stanine rating scheme was used to evaluate the value of the 101 destinations in Nigeria for attracting tourists. The study revealed eight tourism regions in Nigeria, with two regions, Lagos and Yankari/Jos/Abuja emerging as primary attractive tourism regions, and four regions, the Western, Northeastern, Edo/Delta and North Central tourism regions emerging as secondary tourism regions. Destinations considered most important were mostly short distance or nearby, and associated with both cultural and natural resources, especially wildlife/games and beaches/water areas. The study concludes with implications for destination planning, development and marketing.

This paper gathers tourism digital footprint from online travel platforms, choosing social network analysis method to learn the structure of destination networks and to probe into the features of tourist flow network structure and flow characteristics in Guilin of China.

The digital footprint of tourists can be applied to study the behaviors and laws of digital footprint. This research contributes to improving the understanding of demand-driven network relationships among tourist attractions in a destination.

(1) Yulong River, Yangshuo West Street, Longji Terraced Fields, Silver Rock and Four Lakes are the divergent and agglomerative centers of tourist flow, which are the top tourist attractions for transiting tourists. (2) The core-periphery structure of the network is clearly stratified. More specifically, the core nodes in the network are prominent and the core area of the network has weak interaction with the peripheral area. (3) There are eight cohesive subgroups in the network structure, which contains certain differences in the radiation effects.

This research aims at exploring the spatial network structure characteristics of tourism flows in Guilin by analyzing the online footprints of tourists. It takes a good try to analyze the application of network footprint with the research of tourism flow characteristics, and also provides a theoretical reference for the design of tourist routes and the cooperative marketing among various attractions.

Wine tourism is spreading from the “old world” wine countries to Asia. The purpose of this paper is to introduce the GLOW framework capturing the tension of homogenization and globalization of touristic experiences, the tourists' rising environmental concerns and their conflict of searching for authentic experience with new sensations.

In a mixed-method procedure, evidence describing the wine tourists’ perceptions and motivations is assessed using a quantitative survey and fitting a structural equation model using the PLS algorithm. Complementing evidence through qualitative interviews with Indian entrepreneurs on designing a glocalized experience is analyzed.

Spillover from international travel is the most relevant driver of wine tourism in India. However, types of wines and the experiences are adjusted to the local conditions. The winemakers are remarkably advanced in implementing environmentally sustainable production and avoiding over tourism which perfectly meets their clients’ expectations.

Entrepreneurial creation theory as described by Alvarez and Barney (2007) is illustrated in the Asian glocalisation context giving special attention to the entrepreneur’s individual capabilities as called by Helfat and Peteraf (2015) and Liñán et al. (2020).

Conservation of biodiversity and the aesthetics of the local landscape are essential for the vividness of the entrepreneurial ecosystem and the attractiveness for the guests.

Local adaptation of the touristic experience in terms of entertainment, indigenous cuisines and local specialty supports sustainable development of all the stakeholders.

Novelty arises from the projection of the visitors considering the wine cellar experience as an alternative to international travels in combination with analyzing how the entrepreneurs create entrepreneurial opportunities by carving out an authentic experience for their guests.

The purpose of this paper is to analyse the potential benefits of identifying homogeneous territorial units of the urban-tourism space at a local scale.

The territory is an essential variable for designing tourist activities adapted to the characteristics of each urban-tourism space. However, your consideration presents a series of problems, including the lack of alphanumeric, microscale, georeferenced statistical information. The territorial segmentation of the tourist accommodations supply is approached as a methodology, a technique and an instrument that can be used to apply marketing strategies in coastal tourism areas.

One of the most important results is that territorial segmentation is a methodology and technique that can mitigate this issue because it is well-suited to defining spatial patterns of tourist behaviour through the delimitation of territorial units that have a certain degree of homogeneity.

The idea of territorial segmentation is the ideal technique for understanding tourists and their behaviour in the territory by integrating all the variables that intervene in a trip, the different aspects of the destination and data regarding tourist behaviour, allowing them to be understood at the greatest level of territorial disaggregation and making it a good tool for public and private actors, capable of facilitating intelligent decisions in strategic territorial planning and in defining the marketing approach of tourism companies.