• Energy Research

Understanding how event quality influences destination identity and tourist satisfaction is crucial for creating memorable experiences and fostering positive perceptions of a destination. The ‘Night of the Museums’ event in Oradea, Romania, offers a unique cultural experience, but little research has been conducted to understand its impact on destination perception and tourist satisfaction. This study examines the relationship between event quality, destination identity, tourist satisfaction, and behavioral intentions within the context of Oradea’s Night of the Museums event. Four domains of event quality (visit quality, interaction quality, outcome quality, and physical environment quality) are assessed for their impact on destination identity and tourist satisfaction. Results indicated that visit quality, interaction quality, and outcome quality significantly predicted destination identity, whereas interaction quality and the quality of the physical environment significantly influenced tourist satisfaction. Furthermore, positive event experiences increased the likelihood of tourists recommending the destination to others, which in turn significantly predicted the intention to revisit. These findings have implications for event organizers, destination management organizations, and policymakers seeking to enhance event quality, promote positive destination identity, and cultivate tourist satisfaction, ultimately leading to increased recommendations and revisitation.

The adaptive evolution of cultural ecosystems is a distinctive process along the Silk Road in China, involving the transitional interaction of nature and culture. This study aims to provide theoretical recommendations for the management of cultural heritage sites along the Silk Road to assess the values and keep the balance between tourism development and cultural heritage protection. The paper focuses on 22 cultural sites in western China to study the adaptive evolution pattern of cultural landscapes along the Silk Road with landscape changes and the transmission patterns of modern cultural tourism. Based on relevant literature reviews, historical maps, and geomorphological maps, the factors influencing the evolution of the cultural ecosystem are explored. We present both the theoretical and managerial implications: the cultural heritage of the urban areas can vigorously develop the cultural tourism with a high degree of industrialization, suburban areas can boost up traditional tourism product routes. We also assume that the degree of development of cultural tourism depends on the cultural ecosystem service and the environmental status of the cultural landscape.

Cultural events are relevant attractions in contemporary cities that can be understood as celebrations, but also as agents of urban change. The primary objective of this study is to identify emerging themes in the area of cultural events, especially the Night of Museums, and to highlight the relationships among museums as places of learning and aesthetic satisfaction. To reach this goal, an exploratory and descriptive study was conducted. Multinomial logistic regression (MLR) and Regression Analysis were further performed. The results show that physical environment and situational interactions play a decisive role in contextual perception of the importance of events. Curiosity, gratuity, the need to learn and spending free time in the most pleasant way are just a few reasons that lead citizens to direct their attention in a special way. Additionally, this study not only limited to cultural tourism, but also contributes to literature in the area of economy, sustainability and environment. Moreover, our findings have implications for policy makers to identify practices and education that can improve the understanding of cultural and social value.

The aim of the present research is to assess the impact of factors such as welfare, infrastructure, security, and the environment on inbound tourism as well as to develop its forecast. Six proxy indicators of the above-mentioned factors were selected as variables, namely, welfare (real GDP per capita, life expectancy, consumer price index), infrastructure (passenger transportation volume), security (total recorded crimes), and the environment (CO2 emissions). We used a time series-univariate ARIMA model to forecast the inbound tourism in the Republic of Uzbekistan, and applied the ARDL model to assess the impact of lagged real GDP per capita on inbound tourism in both the short and long terms. The results of our research show that security and welfare significantly affect the inflow of foreign tourists in the country, along with the impact of the COVID-19 pandemic crisis, the effects of which are expected to persist beyond 2026.