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.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2021.12
- 수록면
- 235 - 246 (12page)
이용수
초록· 키워드
오류제보하기
The physical environment characteristics of urban spaces are closely related to the elderly’s mental health, and it is becoming increasingly important to identify attractive urban spaces that the elderly prefer and spend a lot of time in their daily lives. It was found that traditional markets accounted for a large portion of urban spaces the elderly spend time during the daytime. Therefore, this study aims to obtain differences in the characteristics of the traditional markets and the physical environmental characteristics of the surrounding area located within the high-density areas and low-density areas of the elderly. The study found no significant effect of the physical environmental characteristics inside the traditional market on the effect of the gathering of elderly. The more convenient the public transportation and the more developed the surrounding business districts around the traditional market will affect the daily travel choices of the elderly. However, the diversity of planning for medical facilities, welfare facilities, and leisure facilities used by elderly in their daily lives in the surrounding areas has been more important ever. Furthermore, it will also have a positive impact on the revitalization of traditional markets by increasing accessibility and convenience between facilities.
목차
Abstract
1. 서론
2. 선행연구 고찰
3. 자료와 연구방법
4. 분석 결과
5. 논의 및 결론
REFERENCES
참고문헌 (67)
참고문헌 신청
Algert, S. J., Agrawal, A., & Lewis, D. S. (2006). Disparities in access to fresh produce in low-income neighborhoods in Los Angeles. American Journal of Preventive Medicine, 30(5), 365-370.
Anselin, L. (1995). Local Indicators of Spatial Association —LISA. Geographical Analysis, 27(2).
Anselin, L. (2005). Exploring Spatial Data with GeoDa : A Workbook.
Bloom, D. E., & Luca, D. L. (2016). The Global Demography of Aging: Facts, Explanations, Future. PGDA Working Paper No. 130. Program on the Global Demography of Aging, Harvard University. Retrieved from http://www.hsph.harvard.edu/pgda/working/
Carpio-Pinedo, J., & Gutiérrez, J.(2020). Consumption and symbolic capital in the metropolitan space: Integrating ‘old’ retail data sources with social big data. Cities, 106.
Anselin, L. (1995). Local Indicators of Spatial Association —LISA. Geographical Analysis, 27(2).
Anselin, L. (2005). Exploring Spatial Data with GeoDa : A Workbook.
Bloom, D. E., & Luca, D. L. (2016). The Global Demography of Aging: Facts, Explanations, Future. PGDA Working Paper No. 130. Program on the Global Demography of Aging, Harvard University. Retrieved from http://www.hsph.harvard.edu/pgda/working/
Carpio-Pinedo, J., & Gutiérrez, J.(2020). Consumption and symbolic capital in the metropolitan space: Integrating ‘old’ retail data sources with social big data. Cities, 106.
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