๐ Related papers/project
[2] Comparative Analysis of Nighttime Healthcare Accessibility between Seoul and Gyeongsangbuk-do (2023-2024 Research Assistant at Korea Research Institute for Local Administration, KRILA)
[1] Lee, Y. (2019). ๊ฐ์ผ๋ณ ์๋ฃ์์ค ์ ๊ทผ์ฑ ๋ฐ ํ์ง์ ๋ฐ์ ์ง์ญ์์ธ ๋ถ์: ์ฝ๋ก๋19๋ฅผ ๋์์ผ๋ก (Accessibility to infectious disease medical facilities and regional factors of confirmed COVID-19 cases) (Masterโs thesis). Kyung Hee University, Seoul, South Korea.
Fig 1. The number of beds in NPIRs
Fig 2. Population density
Fig 3. Accessibility based on population density
In 2019, when COVID-19 began to spread, we analyzed healthcare accessibility by applying the 2SFCA method using population density and the number of beds in negative pressure isolation rooms (NPIRs) and general isolation rooms. Accessibility to beds was generally high in central Seoul but decreased significantly toward the outer areas of the Seoul Capital Region.ย
Nighttime healthcare service area by travel durationsย
a. Tertiary hospitals (Tier 3) in Seoul
b. Secondary hospitals (Tier 2) in North Gyeongsang
Fig 4. Nighttime healthcare service area by travel durations
During nighttime hours, the number of operating medical facilities decreases sharply, resulting in significantly lower levels of healthcare accessibility compared to daytime. Using the enhanced two-step floating catchment area (E2SFCA) method with a distance-decay function, we measured nighttime healthcare accessibility in Seoul and North Gyeongsang Province, where the number of available medical facilities is relatively limited.ย
Seoul recorded the highest number of physicians (18,315) and the highest number of physicians per 1,000 population (1.9) among all metropolitan local governments, while North Gyeongsang ranked mid-range in total physicians (1,795) but had the second-lowest number of physicians per 1,000 population (0.7) nationwide.
The service areas of tertiary and secondary hospitals, those representing the highest levels of care, in Seoul and North Gyeongsang are shown in Figures 4a and 4b.
Estimated overnight healthcare service demands
a. Weekday, Seoul
b. Weekend, Seoul
c. Weekday, North Gyeongsang
d. Weekend, North Gyeongsang
Fig 5. Estimated overnight healthcare service demands using credit card transaction data
The nighttime floating population differs substantially from the resident population. Based on the ratio of credit card medical transactions to the mobile phone nighttime population, the estimated weekday and weekend demand populations are shown above (Fig. 5).
Spatial accessibility to healthcare service
a. Weekday, Seoul
b. Weekend, Seoul
c. Weekday, North Gyeongsang
d. Weekend, North Gyeongsang
Fig 6. Spatial accessibility to healthcare service calculated using E2SFCA
Differences in healthcare accessibility were observed between weekdays and weekends. In the case of North Gyeongsang, the variation in accessibility scores within the region was notably larger compared to Seoul (Fig 6).