tourist destinations
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2022 ◽  
Vol 30 (7) ◽  
pp. 0-0

This article is mainly to study the realization of travel recommendations for different users through deep learning under global information management. The personalized travel route recommendation is realized by establishing personalized travel dynamic interest (PTDR) algorithm and distributed lock manager (DLM) model. It is hoped that this model can provide more complete data information of tourist destinations on the basis of the past, and can also meet the needs of users. The innovation of this article is to compare and analyze with a large number of baseline algorithms, highlighting the superiority of this model in personalized travel recommendation. In addition, the model incorporates the topic factor features, geographic factor features, and user preference features to make the data more in line with user needs and improve the efficiency and applicability of the model. It is hoped that the plan proposed in this article can help users make choices of tourist destinations more conveniently.


2022 ◽  
Vol 90 ◽  
pp. 104471
Author(s):  
Yen E. Lam-González ◽  
Carmen García ◽  
Matías M. González Hernández ◽  
Carmelo J. León

2022 ◽  
pp. 161-170
Author(s):  
Eduardo Parra-López ◽  
Almudena Barrientos-Báez ◽  
José Alberto Martínez-González

Author(s):  
Dimitrios Dimitriou ◽  
Maria Sartzetaki

In most cases, the decision to invest in a new airport is not simple, mainly because of the complications in the planning process, the amount of capital that needs to be invested before the establishment of the business, and the number of stakeholders involved in the decision. The decision process is more complicated in restricted economic and financing conditions, where the performance of the business plan is strongly related to regional development prospects and future airport business outputs in the medium and long term. This paper provides an evaluation methodology approach to support decisions on airport development projects. The proposed methodology provides an evaluation framework based on a combination of an ex ante assessment analysis, considering the airport’s economic impact and its contribution to a specific regional economy. The Input–Output (IO) analysis framework is used to determine the economic footprint of the airport development. A series of key performance indicators (KPIs) are introduced to review the project performance in a given economic system. The case study is examined, focussing on a new airport at Heraklion in Crete (in the Kasteli valley), one of the most attractive tourist destinations in the southeast Mediterranean. Conventional wisdom is to present a systematic approach appropriate to relevant projects, providing essential tools that support decisions at the level of strategic planning. The approach is essential to provide key messages to national governments, decision makers, and stakeholders on the contribution of an airport investment to regional economic development and its contribution to the business ecosystem in the post-COVID-19 era.


2022 ◽  
pp. 004728752110703
Author(s):  
Melis Giuseppe ◽  
McCabe Scott ◽  
Atzeni Marcello ◽  
Del Chiappa Giacomo

Value co-creation has emerged as an important competitive strategy leading to value innovation. In tourist destinations co-creation results from the participation of multiple actors synchronously and contextually in value realization. Yet value co-creation remains highly theoretical and lacks empirical operationalization, especially in destination contexts. Are tourism destinations able and sufficiently mobilized to exploit the potential offered by co-creation theory? This paper operationalizes two fundamental dimensions of the value co-creation process, collaboration and learning, by developing and testing a measurement scale to evaluate the perceived impact of these dimensions on the market performance of actors at a tourist destination. Contributions to the literature on value co-creation and learning as well as managerial implications are discussed and suggestions for further research are made.


2022 ◽  
Vol 14 (2) ◽  
pp. 760
Author(s):  
Beata Hysa ◽  
Iwona Zdonek ◽  
Aneta Karasek

In the light of the COVID-19 pandemic, it is crucial to manage tourist destinations to allow the recovery of tourism on the one hand and reduce its negative impact on the environment and the local community on the other. Information provided via social media (SM) by both residents and tourists can help restart tourism. This paper identifies ways of sharing travel experiences by tourists on social media. The research was conducted in Poland on a sample of 271 respondents from each generation using questionnaires. Results showed that the way tourists use SM during and after their trip differs by generation and gender what could be used in promoting responsible behaviour for sustainable tourism. Differences between generations can be observed in behaviours such as ongoing planning the trip, obtaining information about the place to stay, keeping a photo album for friends, and writing reviews. Moreover, more often than men, women use SM to obtain information about the place of stay and share their impressions of the trip by sending MMS or emails. Tracking tourists’ travel behaviour on social media will allow city managers to gather information and respond to their needs and expectations and ensure effective urban management and city promotion.


Land ◽  
2022 ◽  
Vol 11 (1) ◽  
pp. 94
Author(s):  
Maryam Alsadat Seyedabolghasemi ◽  
Hasan Kilic ◽  
Turgay Avci ◽  
Kayode Kolawole Eluwole ◽  
Taiwo Temitope Lasisi

As nations and tourism destinations are beginning to relax nonpharmaceutical measures for the prevention of the COVID-19 virus, a major quest of tourism stakeholders is to restart and restore the once viable and productive industry to its prior state. While the urge to restart and restore may necessitate a strategic plan and drastic measures, care must be taken not to undermine the sustainability of the destination. The current study seeks to understand the perceptions of residents of Northern Cyprus as key tourism stakeholders concerning the impacts of COVID-19 to the island’s tourism activities and recommendations for recovery post pandemic. To this end, the study used grounded theory and semistructured interviews to explore how residents perceive the contribution of focused advertisements and stakeholder engagement in the sustainable restoration of tourism activities post COVID-19 on the island. While divergent opinions were gathered, it can be inferred that stakeholders expect the implementation of strategic plans aided by focused advertisements to ensure the sustainability of their tourist destinations. Policy directions and academic contributions are also stated as requirements.


2022 ◽  
Vol 14 (1) ◽  
pp. 565
Author(s):  
Zhenfeng Cheng ◽  
Xin Chen

With the rapid development of tourism and the explosive growth of tourist arrivals, the destructive effects of tourist activities on the ecological environment of tourist destinations are becoming increasingly severe, seriously restricting the sustainable development of these destinations. As one of the most important types of current tourist destinations, cultural heritage sites are in urgent need of a well-protected ecological environment. Environmental protection has already become an important task for their sustainable development. The behavior of tourists during visits, which plays a central role in tourist activities, has gradually become a key factor affecting the environment of tourist destinations. Therefore, approaches to effectively identify the mechanisms underpinning tourists’ environmentally responsible behavior have become a focus of both theoretical and practical domains. Based on a stimulus-organism-response (S-O-R) theoretical framework, our study established a mediation model based on cultural attachments, and explored the mechanisms affecting how cognitive, emotional, and cultural experiences influence tourists’ environmentally responsible behavior. The experience-attachment-behavior transmission mechanism was also considered. A structural equation model was applied to empirically test the 588 pieces of data collected from tourists involved in heritage tourism. The test results show that the cognitive, emotional, and cultural experiences delivered from tourist destinations of cultural heritage, positively affected tourists’ environmentally responsible behavior. Cultural attachment plays a partially mediating role between cognitive, emotional, cultural experiences and tourists’ environmentally responsible behavior. These study results not only support theoretical research on the relationship between tourism experiences and tourists’ environmentally responsible behavior, but also indicate the effective driving pathways of tourists’ environmentally responsible behavior at the practical level. As such, this research provides both theoretical reference and practical guidance for the sustainable development of tourist destinations with diverse cultural heritages.


2022 ◽  
Vol 3 (02) ◽  
pp. 145-166
Author(s):  
Muhammad Fauzan Noor ◽  
Rini Koen Iswandari ◽  
Dini Zulfiani

Panrita Lopi Beach is one of the natural tourist destinations that needs to be surveyed by visitors in order to identify and determine strategies for developing tourist attractions and also marketing in Kutai Kartanegara Regency. This study aims to analyze the characteristics of tourists and travel patterns of tourists who visit and to determine the perception of the level of tourist satisfaction with infrastructure products, public facilities and tourism facilities in this tourist destination. The main variables used in segmenting comprise: Geographic Segmentation, Demographic Segmentation, Psychographic Segmentation, and Behavior-based Segmentation. This research is a type of survey research with a qualitative descriptive approach. I carried out data collection from primary data sources and secondary data sources. The sample used in this study is a non-probability sampling technique by accidental sampling, namely a sampling technique based on chance, anyone who coincidentally meets a researcher can be used as a sample, if it is deemed that the person who was met is suitable as a data source. Data that has been collected from research results related to typology (characteristics, travel patterns) and visitor perceptions can be analyzed descriptively qualitatively. The analyzed data comes from surveys through questionnaires that have been given to visitors, including data on visitor profiles, visitor travel patterns, and visitor perceptions about this Panrita Lopi beach.


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