Modeling polycentric urbanization using multisource big geospatial data

Document Type

Article

Publication Date

2-1-2019

Abstract

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 Program-Operational 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.

Identifier

85061354636 (Scopus)

Publication Title

Remote Sensing

External Full Text Location

https://doi.org/10.3390/rs11030310

e-ISSN

20724292

Issue

3

Volume

11

Grant

2017041

Fund Ref

National Natural Science Foundation of China

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