COVID-19 확산과 서울시 소상공 매출의 시공간 변화 특성 분석 : 시공간 큐브 모형을 활용하여Analysis of Spatio-Temporal Characteristics of Small Business Sales by the Spread of COVID-19 in Seoul, Korea : Using Space-Time Cube Model
- Other Titles
- Analysis of Spatio-Temporal Characteristics of Small Business Sales by the Spread of COVID-19 in Seoul, Korea : Using Space-Time Cube Model
- Authors
- 하정원; 김선재; Lee, Su gie
- Issue Date
- 2021
- Publisher
- 대한국토·도시계획학회
- Keywords
- COVID-19; Card Sales Data; Small Business; Spatio-Temporal Analysis; Space Time Cube Analysis; COVID-19; 카드매출 데이터; 소상공인; 시공간 분석; 시공간 큐브 분석
- Citation
- 국토계획, v.56, no.2, pp.218 - 234
- Indexed
- KCI
- Journal Title
- 국토계획
- Volume
- 56
- Number
- 2
- Start Page
- 218
- End Page
- 234
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/144061
- ISSN
- 1226-7147
- Abstract
- COVID-19는 세계적으로 빠르게 확산하며 세계 경제에 심각한 영향을 미치고 있다. 우리나라의 경우에도 2020년 1월 첫 확진자 발생과 시작된 COVID-19의 확산은 소비활동 위축을 유발하고 있다. 박희석 외(2020)연구에 따르면 2020년 4월 이후 확산이 안정된다는 가정 하에 추정된 서울지역 내수 피해액은 약 4조 4천억 원에 달하는 것으로 나타났다. 그러나 현시점인 2021년 2월까지도 확산과 안정을 반복하고 있는 상황을 고려하면 피해는 더욱클 것으로 예상된다.
상업시설의 경우 COVID-19로 인한 경제적 타격 정도가 업종별로, 공간적으로 다르게 나타날 가능성이 크다고 예상된다. 이러한 배경 하에, 본 연구의 목적은 소상공 업종을 중심으로COVID-19 영향으로 인한 업종별 피해와 회복탄력성을 살펴보고, 이를 세부적 공간 단위로 나누어 확산 시기에 따라 변화 패턴을 확인하고자 한다. 나아가 정부의 1차 긴급재난지원금의 효과를 공간적으로 확인하고 앞으로의 지원 정책에 있어서 시사점을제시하고자 한다.
By making use of credit card transaction data from Seoul, Korea, this study examines the relationship between the change in commercial sales of businesses and the spread of COVID-19. Recently, people’s consumption is shrinking with the spread of COVID-19, with the pandemic having a significant impact on the local economy. Accordingly, studies are being conducted to analyze the relationship between COVID-19 and local economic activity. The purpose of this study is to analyze the spatiotemporal characteristics in commercial sales at each stage of the COVID-19 pandemic by using big data of credit card transactions (2019.01-2020.05) and the space-time cube analysis model. The space-time cube model is widely used when researchers expect to discover a pattern of given features over time. As a result of the analysis, it was found that, during the spread of COVID-19, the living population decreased in Central Business Districts (CBD) and areas near the universities, resulting in a significant decline in commercial sales. However, small business of retail in residential areas shows an increase in commercial sales, assuming that people are consuming near their residences when buying retail goods. After the high wave of new cases of COVID-19, it was found that the small business areas with commercial sales losses continuously recovered with a decline in new COVID-19 cases and the provision of the government's disaster relief funds. However, some local areas show stagnation, even after receiving government subsidies. The results of this study are expected to be useful in developing local economic policies in the face of pandemic situations, suggesting that local characteristics have to be taken into account when supporting small businesses and local economies.
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