Journal
REMOTE SENSING
Volume 11, Issue 3, Pages -Publisher
MDPI
DOI: 10.3390/rs11030310
Keywords
polycentric urbanization; big geospatial data; nighttime light imagery; social media; economic corridors
Categories
Funding
- National Key R&D Program of China [2018YFC0809606]
- National Natural Science Foundation of China [51774204, 41430637]
- Key Project of Chinese Ministry of Education [13JJD790008]
- Scientific Research Project of Shenyang Jianzhu University [2017041]
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Understanding the dynamics of polycentric urbanization is important for urban studies and management. This paper proposes an analytical model that uses multisource big geospatial data to characterize such dynamics to facilitate policy making. There are four main steps: (1) main centers and subcenters are identified using spatial cluster analysis and geographically weighted regression (GWR) based on Visible Infrared Imaging Radiometer Suite (VIIRS)/NPP and social media check-in data; (2) the built-up areas are extracted by using Defense Meteorological Satellite ProgramOperational Linescan System (DMSP/OLS) gradient images; (3) the economic corridors that connect the main center and subcenters are constructed using road network data from Open Street Map (OSM) with the least-cost distance method; and (4) the major urban development direction is identified by analyzing the changes in built-up areas within the economic corridors. The model is applied to three major cities in northeastern, central, and northwestern China (Shenyang, Wuhan, and Xi'an) from 1992 to 2012.
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