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http://dx.doi.org/10.11108/kagis.2020.23.4.217

Urban Vitality Assessment Using Spatial Big Data and Nighttime Light Satellite Image: A Case Study of Daegu  

JEONG, Si-Yun (Dept. of Geography, Kyungpook National University)
JUN, Byong-Woon (Dept. of Geography, Kyungpook National University)
Publication Information
Journal of the Korean Association of Geographic Information Studies / v.23, no.4, 2020 , pp. 217-233 More about this Journal
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.
Keywords
Urban Vitality; Spatial Big Data; Nighttime Light Satellite Image; Wi-Fi Access Points; PCA;
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1 Kim, Y.R. 2020. Data-driven approach to characterize urban vitality: How spatiotemporal context dynamically defines Seoul's nighttime. International Journal of Geographical Information Science 34(6):1235-1256.   DOI
2 Jacobs, J. 1961. The Death and Life of Great American Cities. Vintage, New York, NY, USA. 458pp.
3 Kwan, M.P. 2012a. How GIS can help address the uncertain geographic context problem in social science research. Annals of GIS 18(4):245-255.   DOI
4 Kwan, M.P. 2012b. The uncertain geographic context problem. Annals of the Association of American Geographers 102(5):958-968.   DOI
5 Liu, S., L. Zhang and Y. Long. 2019. Urban vitality area identification and pattern analysis from the perspective of time and space fusion. Sustainability 11(15): 4032.   DOI
6 Lu, S., Y. Huang, C. Shi and X. Yang. 2019. Exploring the association between urban form and neighborhood vibrancy: A case study of Chengdu, China. ISPRS International Journal of Geo-Information 8:165.   DOI
7 Sulis, P., E. Manle, C. Zhong and M. Batty, M. 2018. Using mobility data as proxy for measuring urban vitality. Journal of Spatial Information Science 16:137-162.
8 Sung, H. and S. Lee. 2015. Residential built environment and walking activity: Empirical evidence of Jane Jacobs' urban vitality. Transportation Research Part D: Transport Environment 41:318-329.   DOI
9 Yang, J.H. and M.H. Kim. 2018. The estimation of electric power consumption for both metropolitan cities and provinces in the Republic of Korea using SNPP VIIRS DNB satellite imagery. Journal of the Korean Association of Professional Geographers 52(3):415-424.
10 Ye, Y. and A. Van Nes. 2013. 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. Journal of Spatial Syntax 4:18-37.
11 Yue, W., C. Yang, Z. Qun and L. Yong. 2019. Spatial explicit assessment of urban vitality using multi-source data: A case of Shanghai, China. Sustainability 11(3):638.   DOI
12 Jun, B.W. 2006a. A pixel-based assessment of urban quality of life. Journal of the Korean Association of Geographic Information Studies 9(3):146-155.
13 Zeng, C., Y. Song, Q. He and F. Shen. 2018. Spatially explicit assessment on urban vitality: Case studies in Chicago and Wuhan. Sustainable Cities and Society 40:296-306.   DOI
14 Zhu, L., D.H. Cho, C.W. Jeon and S.Y. Lee. 2016. Evaluating methods for extracting built-up area using NPP-VIIRS nighttime light data and local spatial statistics. Journal of the Korean Urban Geographical Society 19(3):145-163.   DOI
15 Abernathy, D. 2016. Using Geodata and Geolocation in the Social Science: Mapping Our Connected World, Sage Publications Ltd., London, UK. 327pp.
16 Ahas, R., A. Aasa, Y. Yuan, M. Raubal, Z. Smoreda, Y. Liu, C. Ziemlicki, M. Tiru and M. Zook. 2015. Everyday space-time geographies: Using mobile phone-based sensor data to monitor urban activity in Harbin, Paris, and Tallinn. International Journal of Geographical Information Science 29(11):2017-2039.   DOI
17 He, Q., W. He, Y. Song, J. Wu, C. Yin and Y. Mou. 2018. The impact of urban growth patterns on urban vitality in newly built-up areas based on an association rules analysis using geographical'big data'. Land Use Policy 78:726-738.   DOI
18 Hong, I.H. 2010. Spatial distribution and utilization feature of Wi-Fi. Journal of the Korean Urban Geographical Society 10(1):55-64.
19 Jeon, S.E. and D.B. Shin. 2018. A study on the agent based infection prediction model using space big data: focusing on MERS-CoV incident in Seoul. Journal of the Korean Association of Geographic Information Studies 21(2):94-106.   DOI
20 Jin, X., Y. Long, W. Sun, Y. Lu, X. Yang and J. Tang. 2017. Evaluating cities' vitality and identifying ghost cities in China with emerging geographic data. Cities 63:98-109.   DOI
21 Jun, B.W. 2006b. Urban quality of life assessment using satellite image and socioeconomic data in GIS. Korean Journal of Remote Sensing 22(5):325-335.
22 Kim, D.H. and D. Kim. 2018. Development and application of dynamic visualization model for spatial big data. Journal of the Korean Association of Geographic Information Studies 21(1):57-70   DOI
23 Kim, M.H. 2020. The population estimation of metropolitan cities and provinces in South Korea using land use land cover and nighttime light satellite imagery. Journal of the Korean Association of Professional Geographers 54(3):243-254.
24 Kim, Y.R. 2018. Seoul's Wi-Fi hotspots: Wi-Fi access points as an indicator of urban vitality. Computers, Environment and Urban Systems 72:13-24.   DOI