Street-network Sprawl in Baghpat, India


What is Street-network sprawl?

Street-network Sprawl is a way to measure urban sprawl, worldwide, through the connectedness of the streets. Less sprawl means more connected, more walkable streets. Well-connected streets – like New York City’s grid – are more walkable and can be served by public transit.

The street network is permanent, and its connectivity affects the livability and environmental footprint of cities for decades and centuries to come. In places with more connected streets, residents drive less and walk more. A well-connected street network is associated with better outcomes for health, the environment, sustainable consumption, social integration, and equity.

We can quantify how connected street networks are with the Street Network Disconnectedness Index (SNDi).

SNDi -- our measure of street-network sprawl (disconnectedness)

The SNDi is a comprehensive measurement of “sprawl”. It captures:

A higher SNDi means less-connected streets – i.e., more sprawl. For the 10137 cities in our dataset, the average SNDi is 2.25, with half of the cities' SNDis falling between 1.08 and 3.25.

More information on the sprawl index can be found in these research papers:

To see the state of street-network sprawl across the globe, visit the sprawlmap.

Baghpat: city in Uttar Pradesh, India

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 Baghpat, India on the sprawlmap

Most recent snapshot: Taking into account the entire (i.e. aggregate) street network in Baghpat as of 2014, the overall level of street-network sprawl is 3.05, which is in the 40th to 60th percentile of disconnectedness.

Trends in street network construction: The SNDis of street construction for the respective time periods are 4.13, 1.24, 4.68 and 1.96. Disconnectivity in street construction in Baghpat follows a zig-zag trend. In 1976-1990, street construction was most disconnected, while construction was most connected in 1991-2000.

Quantity of street network construction: The street network in Baghpat spans a total of 34 kilometers. The period with the greatest volume of street construction was 1991-2000. These roads have an SNDi of 4.68, which is highly disconnected.

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 4.13, 2.25, 3.18 and 3.05. Disconnectivity in Baghpat's street network follows a zig-zag trend. In 1976-1990, the city was most disconnected; while it was most connected in 1975.

Baghpat and Uttar Pradesh do not follow the same trend in the disconnectivity of their street network constructions. The SNDi in Baghpat followed a zig-zag trend with an overall decrease, while the SNDi of street constructions in Uttar Pradesh rose steadily.

Baghpat and India do not follow the same trend in the disconnectivity of their street network constructions. The SNDi in Baghpat followed a zig-zag trend with an overall decrease, while the SNDi of street constructions in India rose steadily.

Baghpat and Uttar Pradesh do not follow the same trend in the disconnectivity of their aggregate street networks. The SNDi in Baghpat followed a zig-zag trend with an overall decrease, while the SNDi of street constructions in Uttar Pradesh rose steadily.

Baghpat and India do not follow the same trend in the disconnectivity of their aggregate street networks. The SNDi in Baghpat followed a zig-zag trend with an overall decrease, while the SNDi of street constructions in India rose steadily.

As of 2015, Baghpat had a built-up area of 1.92 square kilometers, and a population of 73218 people.

These are some other cities with approximately the same population: