As the demands of tourism become increasingly bigger, there are side effects of rapid quantitative growth, representatively, over-tourism. As efforts at minimizing over-tourism, the possibilities of temporal and seasonal distribution were explored. For the experiment, an offline survey was conducted targeting the visitors who visited Suwon Hwaseong, the UNESCO World Heritage in South Korea during the nighttime. Group classification was conducted based on visitors’ preferred times and seasons and estimated the marginal willingness to pay (MWTP) for night tourism activities by these classifications. To compare the MWTP of the groups and examine differences in attributes between the groups, a choice experiment (CE) was used. The results from the CE revealed that the MWTP for attributes was different in those groups. Based on MWTP of each group and their characteristics, it was confirmed that temporal and seasonal distribution can be one solution of over-tourism. These results may be useful for night tourism management and development at a UNESCO World Heritage site, such as providing strategies for minimizing over-tourism, which is distributed by peak and non-peak times.

The present study seeks to establish tourism destination management centered on young children for accessible tourism from a public perspective. Preferences for services and facilities for young children were identified using a choice experiment (CE). The present study was conducted at Hwaseong Fortress, a UNESCO World Heritage Site, located in Suwon City, which leads the clean restroom culture. Overall, 1870 experiments were conducted with 374 participants to estimate their willingness to pay for child-friendly tourism facilities and services. As a result, willingness to pay was found in the order of specialized courses for young children, rest areas, restrooms, and rides. In conclusion, the importance of health/hygiene and amenities has implications for tourism destination management for young children. This study contributes to a better understanding of families with young children by evaluating preferences for levels of services and facilities for young children.