The Persian Qanats, ancient underground aqueduct systems that have provided irrigation water to arid regions in Iran for over 3000 years, are recognized as a vital element of the country’s cultural heritage. Eleven of these impressive structures have been included on the UNESCO World Heritage List, underlining their cultural, social, political, and physical significance. As these underground heritage sites offer a unique opportunity for fostering territorial collaboration and social capital between tourists and the local community, it is important to develop a comprehensive model to influence the behavior of tourists, officials, and natives in their treatment of these invaluable sites. This study aimed to design a sustainable behavior model for underground heritage tourism management in Persian Qanats that have been listed as UNESCO World Heritage properties. The research employed a theme analysis approach, utilizing a statistical sample of 22 base managers and Qanat tourism experts. The study used content and thematic analysis to develop a research model that guarantees the sustainable protection of these valuable underground heritage sites by shaping the behavior of tourists, officials, and natives. The proposed model serves as a guideline for effective behavior management, leading to the preservation of these significant underground heritage sites for future generations. In conclusion, this study provides valuable insights into the sustainable management of Persian Qanats and the promotion of a strong sense of territorial collaboration and social capital between tourists and the local community.

A goal of land change modelers should be to communicate scenarios of future change that show the variety of possible future landscapes based on the consequences of management decisions. This study employs the Markov-FLUS model to simulate land-use changes in Hubei Province in multiple scenarios that consider social, economic, and ecological policies using 18 driving factors, including point-of-interest data. First, the Markov-FLUS model was developed and validated with historical data from 2000 to 2020. The model was then used to simulate land-use changes from 2020 to 2035 in four scenarios: natural development, economic priority, ecological protection, and cultivated land protection. The results show that the Markov-FLUS model effectively simulates the land-use change pattern in Hubei Province, with an overall accuracy of 0.93 for land use simulation in 2020. The Kappa coefficient and FOM index also achieved 0.86 and 0.139, respectively. In all four scenarios, cultivated land remained the primary land use type in Hubei Province from 2020 to 2035, while construction land showed an increasing trend. However, there were large differences in the simulated land use patterns in different scenarios. Construction land expanded most rapidly in the economic priority scenario, while it expanded more slowly in the cultivated land protection scenario. We designed the protection scenario to restrict the rapid expansion of construction land. In the natural development and economic priority scenarios, construction land expanded and encroached on cultivated land and forests. In contrast, in the ecological protection scenario, forests and water areas were well-preserved, and the decrease in cultivated land and the increase in construction land were effectively suppressed, resulting in a large improvement in land use sustainability. Finally, in the cultivated land protection scenario, the cultivated land showed an increasing trend. The spread and expansion of construction land were effectively curbed. In conclusion, the Markov-FLUS model applied in this study to simulate land use in multiple scenarios has substantial implications for the effective utilization of land resources and the protection of the ecological environment in Hubei Province.

The COVID-19 pandemic has significantly impacted the tourism and hospitality industry. This study aims to reconceptualize the concept of customer perceived value (CPV) in Isfahan’s five-star hotels during the pandemic using the grounded theory (GT) approach in the context of qualitative research. The objective of this study is to explore the key dimensions of CPV and identify the main strategies that enhance the value perceived by hotel customers. Data were collected with interviews with 30 experts in the hotel and hospitality industry, and MAXQDA software was used to analyze the data. The dominant themes that emerged from the content analysis included health-oriented self-gratification value, financial value, quality value, emotional value, social value, epistemic value, information value, and health security value. Additionally, the subthemes identified were trust, satisfaction, and information access. All these themes could potentially be employed by hotel sectors as solutions to enhance customer satisfaction during the pandemic. From a practical standpoint, this study provides insights to hotel managers or practitioners to implement updated strategies that contribute to knowledge development about customer perceived value in the hotel sector, which can lead to enhanced customer satisfaction and loyalty. The article makes theoretical contributions to the literature on CPV by identifying new dimensions that are relevant to the pandemic. This extension of the literature provides a more comprehensive understanding of CPV in crisis situations and can inform future research on the topic. The article also discusses future research directions.

During the past three years and with the spread of the pandemic, smartphones were the most important communication bridge between tourists and organizations; now more than ever, they are intertwined with the lives of tourists and destination management organizations. Although much research has been conducted in this field, the investigation of the effects of the pandemic on the technology and functionality of smartphones is one of the topics that has been less discussed. Therefore, the current research was conducted to determine the role of smartphones in tourism management dynamics during the pandemic. The research method was qualitative (content analysis, theme analysis), and 32 people participated in the interview process as a statistical sample. Then, the oral interviews were transcribed, and a thematic analysis was performed. For the analysis of the interviews, MAXQDA 2020 software was used. The results of the research indicate that smartphones were one of the most important platforms for tourism management dynamics during the pandemic, and in the event of a pandemic in the future, they can help contain the destruction to a great extent in their current position.