인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
In an aging society, urban parks are evolving beyond simple green spaces into multifunctional environments that support older adults’ daily activities and social participation. This study proposes a multipurpose leisure space designed to promote ‘Active Aging in Community (AAIC)’ among older adults by utilizing the locational characteristics of urban parks, while offering healthcare, cultural exchange, and income-generating activities as core content, and estimates willingness to pay (WTP) for the proposed space. To this end, a survey was conducted with 600 Seoul residents aged 50 and over, and WTP for the hypothetical scenario was estimated using the contingent valuation method (CVM) with a Tobit model. In addition, the determinants of WTP and heterogeneity across subgroups based on respondents’ use of existing senior welfare facilities and urban parks were examined. The results indicate that the mean WTP is approximately 49,120 KRW per month. In terms of content, healthcare and income-generating programs had a significant positive effect on WTP, with the effect of healthcare being particularly robust. Among the locational attributes of parks, older adults placed higher value on green environments and recreational features. The WTP was higher among respondents with greater income and education and those living with family members. Respondents who actively use existing senior welfare facilities and urban parks exhibited higher WTP. Users of senior facilities did not show a significant preference for park locational attributes; however, they demonstrated a particularly strong preference for cultural exchange programs. Urban park users showed higher WTP for parks that offer recreational opportunities and attract diverse users. These findings suggest that multipurpose leisure spaces in urban parks may contribute to the creation of demand-responsive parks and age-friendly neighborhood environments within an AAIC framework.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.