Paper Info
Title
Big Data Supported The Identification Of Urban Land Efficiency In Eurasia By Indicator Sdg 11.3.1
Abstract
Indicator 11.3.1 of the UN Sustainable Development Goals (SDG 11.3.1) was designed to test land-use efficiency, which was defined as the ratio of the land consumption rate (LCR) to the population growth rate (PGR), namely, LCRPGR. This study calculates the PGRs, LCRs, and LCRPGRs for 333 cities from 1990-2000 and 391 cities from 2000-2015 in four geographical divisions in Eurasia according to the method given by UN metadata. The results indicate that Europe and Japan have the lowest PGR and LCR, indicating that this region's level of urbanization is the highest. South and Central Asia have the lowest values of LCRPGR, indicating relatively lower urban land supply during the measurement periods. Compared with the mean LCRPGR in a region, the average values from SDG 11.3.1 by different types of cities in a region can have more guiding significance for urban sustainable development. While paying attention to the urban land-use efficiency of mega and extra-large cities, more attention should be paid to the coordination relationship between urban land supply and population growth in large, medium, and small cities. Additionally, the method from UN metadata works well for most urban expansion cities but is not suitable for cities with small changes in urban populations.
Year
DOI
Venue
2021
10.3390/ijgi10020064
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
Keywords
DocType
Volume
urban land use efficiency, SDG 11, 3, 1, Eurasia, big Earth data
Journal
10
Issue
Citations 
PageRank 
2
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Chaopeng Li100.34
Guoyin Cai200.34
Mingyi Du302.70