Jiangyin: city in Jiangsu, China
What exactly constitutes the spatial extent of the city? For these aggregations, we used the Global Human Settlement Layer Urban Center Database (GHS-UCDB) to define the boundaries of the city. These cities -- or urban centers -- cover areas that are densely populated and built-up, and so may extend beyond the spatial borders of these cities that we may be familiar with. The GHS area is shaded in blue.
View Jiangyin, China on the sprawlmap
Most recent snapshot: Taking into account the entire (i.e. aggregate) street network in Jiangyin as of 2014, the overall level of street-network sprawl is 1.33, which is relatively well-connected.
Trends in street network construction: The SNDis of street construction for the respective time periods are 0.95, 1.69, 1.15 and 1.03. Street construction in Jiangyin increased in disconnectivity initially but has since improved. The streets constructed in 1976-1990 were the most disconnected.
Quantity of street network construction: The street network in Jiangyin spans a total of 676 kilometers. It is dominated by roads constructed in 2001-2014. These roads have an SNDi of 1.03, which is relatively well-connected.
Effect on the aggregate network: New construction in each period adds to the total stock of streets, but does not change streets that have already been built. Therefore, it has a limited effect on the street network as a whole. The SNDis of the aggregate street network in the respective time periods are 0.95, 1.63, 1.48 and 1.33. The aggregate street network in Jiangyin increased in disconnectivity initially,but the trend has turned around after 1990.
Jiangyin and Jiangsu do not follow the same trend in the disconnectivity of their street network constructions. The SNDi in Jiangyin peaked in 1976-1990, while the SNDi of street constructions in Jiangsu followed a zig-zag trend with an overall increase.
How do development practices in Jiangyin fare in comparison to others in Jiangsu? Most recently in 2001-2014, street construction in Jiangyin was the 72nd-most disconnected out of the 87 cities in Jiangsu. Its position in the ranks since 1975 has fallen; relative to other cities in Jiangsu, street construction in Jiangyin has become more connected. Jiangyin ranked 51st in 1975, 44th in 1976-1990, 53rd in 1991-2000 and 72nd in 2001-2014.
Jiangyin and China do not follow the same trend in the disconnectivity of their street network constructions. The SNDi in Jiangyin peaked in 1976-1990, while the SNDi of street constructions in China followed a zig-zag trend with an overall decrease.
How do development practices in Jiangyin fare in comparison to others in China? Most recently in 2001-2014, street construction in Jiangyin was the 1009th-most disconnected out of the 1651 cities in China. Its position in the ranks since 1975 has fallen; relative to other cities in China, street construction in Jiangyin has become more connected. Jiangyin ranked 839th in 1975, 783rd in 1976-1990, 737th in 1991-2000 and 1009th in 2001-2014.
Jiangyin and Jiangsu follow the same trend in the disconnectivity of their aggregate street networks. The SNDi for both of these peaked in 1976-1990.
To date, Jiangyin is the 57th-most disconnected out of the 87 cities in Jiangsu. Its position in the ranks since 1975 has fallen; relative to other cities in Jiangsu, the street network in Jiangyin has become more connected. Jiangyin ranked 51st in 1975, 42nd in 1976-1990, 48th in 1991-2000 and 57th in 2001-2014.
Jiangyin and China follow the same trend in the disconnectivity of their aggregate street networks. The SNDi for both of these peaked in 1976-1990.
To date, Jiangyin is the 1046th-most disconnected out of the 1651 cities in China. Its position in the ranks since 1975 has fallen; relative to other cities in China, the street network in Jiangyin has become more connected. Jiangyin ranked 839th in 1975, 822nd in 1976-1990, 913th in 1991-2000 and 1046th in 2001-2014.
As of 2015, Jiangyin had a built-up area of 72.91 square kilometers, and a population of 592242 people.
These are some other cities with approximately the same population: