IAG'i Keynote Speeches

[D3-03] Exploring Urban Vitality with Emerging Geospatial Data

*Byong-Woon Jun¹, Si-Yun Jeong² (1. Kyungpook National University, 2. Daegu Technopark)

Keywords:Urban Vitality, Spatial Big Data, Nighttime Light Satellite Image, Wi-Fi Access Points, PCA

This study evaluated the urban vitality of Daegu metropolitan city in 2018 using emerging geospatial data such as spatial big data, Wi-Fi AP(access points) and nighttime light satellite image. The emerging geospatial 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 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.