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Background and objective A great deal of previous research has highlighted the value of educational and cultural facilities embedded in housing prices, by taking a large spatial area as the focus, such as the city or district level. However, few studies have investigated the extent to which educational and cultural facilities influence the formation of housing prices from an accessibility perspective. This study aims to identify the value of educational and cultural facilities embedded in the housing prices in Seoul Metropolitan City with a focus on the concept of the residents’ neighbourhood and accessibility. Methods To this end, this research used a spatial regression model with educational and cultural facilities as the independent variables and housing prices as the dependent variable. The model assessed the accessibility of cultural and educational facilities by considering geographic effects. Results The findings are as follows. First, the spatial error model was found to be the best fit for multi-unit housing, while the spatial lag model was more appropriate for single-unit housing and apartments. Second, private educational facilities and art museums had positive effects on single- and multi-unit housing prices, while historical sites had a negative effect. Finally, private educational facilities positively influenced apartment prices, whereas public libraries and urban park areas had a negative effect. Conclusion These findings indicate that the accessibility of educational and cultural facilities reflects residents’ preferences and needs, which will ultimately influence housing prices.

Background and objective: Recent research on cultural heritage has highlighted resident participation as an ideal method of managing local cultural heritages. However, many studies have raised questions about the practicality of this approach. This research undertook case studies of Jeoji-ri and Handong-ri on Jeju Island, South Korea focusing on how resident participation increases based on the related stakeholders, local heritages (natural, tangible and intangible cultural heritages) and social capital (trust and networking).Methods: Sixty-one completed questionnaires were collected from adult residents of both villages (28 from Jeoji-ri and 33 from Handong-ri), and the resulting quantitative data were analysed using the Statistical Package for the Social Sciences (SPSS) and the R programming language. In addition, two semi-structured interviews were undertaken with the leaders of each village, and the resulting qualitative data were analysed thematically.Results: The study found that the village leaders of Handong-ri and Jeoji-ri successfully encouraged trust and participation among village residents, suggesting that resident participation is largely influenced by the relevant stakeholders and the social capital of residents. Networking and intangible cultural heritages, such as rituals or village oral traditions, positively influence resident participation.Conclusion: This study suggests that the active utilisation of intangible cultural heritages and the networks developed by cooperating with essential stakeholders are vital for encouraging resident participation.

Background and objective: Recent research has highlighted the need for urban heritage conservation due to rapid urbanisation, especially in Asian cities; however, few studies have investigated the socioeconomic impacts of heritage assets in urban contexts. This study examined urban heritage sites in Seoul Metropolitan City from the perspective of residents' environmental satisfaction and housing prices.Methods: A spatial regression model was developed to examine the associations between urban heritage sites and their corresponding protected areas as the independent variables (nationally assigned cultural heritage, city-assigned cultural heritage, nationally registered cultural heritage, nationally assigned cultural heritage protected area, and city-assigned cultural heritage protected area) and residential environmental satisfaction and housing prices as the dependent variables. The model investigated how urban heritage sites influence housing prices through the mediating effect of residential environmental satisfaction.Results: The results confirmed the impact of urban heritage sites on housing prices and the mediating effect of residential environmental satisfaction. Moreover, depending on their urban heritage classifications, noticeable differences were evident in the impact of urban heritage sites.Conclusion: These findings provide an intellectual foundation for public policies, offering insights into how they might achieve an optimum balance between private and public interests in matters of heritage conservation.

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