공간 빅데이터와 야간 위성영상을 활용한 도시 활력 평가: 대구시를 사례로 = Urban Vitality Assessment Using Spatial Big Data and Nighttime Light Satellite Image: A Case Study of Daegu

다국어 초록 (Multilingual Abstract)

This study evaluated the urban vitality of Daegu metropolitan city in 2018 using emerging geographic data such as spatial big data, Wi-Fi AP(access points) and nighttime light satellite image. The emerging geographic data were used in this research to quantify human activities in the city more directly at various spatial and temporal scales. Three spatial big data such as mobile phone data, credit card data and public transport smart card data were employed to reflect social, economic and mobility aspects of urban vitality while public Wi-Fi AP and nighttime light satellite image were included to consider virtual and physical aspects of the urban vitality. With PCA (Principal Component Analysis), five indicators were integrated and transformed to the urban vitality index at census output area by temporal slots. Results show that five clusters with high urban vitality were identified around downtown Daegu, Daegu bank intersection and Beomeo intersection, Seongseo, Dongdaegu station and Chilgok 3 district. Further, the results unveil that the urban vitality index was varied over the same urban space by temporal slots. This study provides the possibility for the integrated use of spatial big data, Wi-Fi AP and nighttime light satellite image as proxy for measuring urban vitality.

참고문헌 (Reference)

1 김민호, "토지피복도와 야간 인공위성 영상을 활용한 남한 광역시도 인구 추정" 국토지리학회 54 (54): 243-254, 2020

2 전병운, "도시의 삶의 질을 평가하기 위한 화소기반 기법" 한국지리정보학회 9 (9): 146-155, 2006

3 전상은, "공간 빅데이터를 활용한 행위자 기반 전염병 확산 예측 모형 구축에 관한 연구 -서울특별시 메르스 사태를 중심으로-" 한국지리정보학회 21 (21): 94-106, 2018

4 김동한, "공간 빅데이터를 위한 동태적 시각화 모형의 개발과 적용" 한국지리정보학회 21 (21): 57-70, 2018

5 홍일영, "WiFi의 공간분포와 이용특성" 한국지도학회 10 (10): 55-64, 2010

6 Sulis, P., "Using mobility data as proxy for measuring urban vitality" 16 : 137-162, 2018

7 Abernathy, D, "Using Geodata and Geolocation in the Social Science: Mapping Our Connected World" Sage Publications Ltd 327-, 2016

8 Liu, S., "Urban vitality area identification and pattern analysis from the perspective of time and space fusion" 11 (11): 4032-, 2019

9 전병운, "Urban Quality of Life Assessment Using Satellite Image and Socioeconomic Data in GIS" 대한원격탐사학회 22 (22): 325-335, 2006

10 Kwan, M. P, "The uncertain geographic context problem" 102 (102): 958-968, 2012

11 He, Q., "The impact of urban growth patterns on urban vitality in newly built -up areas based on an association rules analysis using geographical‘big data’" 78 : 726-738, 2018

12 Jacobs, J, "The Death and Life of Great American Cities" Vintage 458-, 1961

13 Zeng, C., "Spatially explicit assessment on urban vitality: Case studies in Chicago and Wuhan" 40 : 296-306, 2018

14 Yue, W., "Spatial explicit assessment of urban vitality using multi-source data: A case of Shanghai, China" 11 (11): 638-, 2019

15 Kim, Y. R, "Seoul’s Wi-Fi hotspots:Wi-Fi access points as an indicator of urban vitality" 72 : 13-24, 2018

16 양진호, "SNPP VIIRS DNB 영상자료를 이용한 대한민국 광역시도별 전력 사용량 추정" 국토지리학회 52 (52): 415-424, 2018

17 Sung, H., "Residential built environment and walking activity : Empirical evidence of Jane Jacobs’urban vitality" 41 : 318-329, 2015

18 ZHU LEI, "NPP-VIIRS 야간 위성영상과 국지적 공간 통계를 이용한 시가지 추출 가능성 평가" 한국도시지리학회 19 (19): 145-163, 2016

19 Ye, Y., "Measuring urban maturation processes in Dutch and Chinese new towns : Combining street network configuration with building density and degree of land use diversification through GIS" 4 : 18-37, 2013

20 Kwan, M. P, "How GIS can help address the uncertain geographic context problem in social science research" 18 (18): 245-255, 2012

21 Lu, S., "Exploring the association between urban form and neighborhood vibrancy : A case study of Chengdu, China" 8 : 165-, 2019

22 Ahas, R., "Everyday spacetime geographies: Using mobile phonebased sensor data to monitor urban activity in Harbin, Paris, and Tallinn" 29 (29): 2017-2039, 2015

23 Jin, X., "Evaluating cities’vitality and identifying ghost cities in China with emerging geographic data" 63 : 98-109, 2017

24 Kim, Y. R, "Data-driven approach to characterize urban vitality : How spatiotemporal context dynamically defines Seoul’s nighttime" 34 (34): 1235-1256, 2020