Matlab in context: Street-network sprawl trends
Matlab in context
The chart above shows SNDi trends for new street additions (left panel) and the entire network (right panel), with Matlab plotted against Chittagong and Bangladesh. While Chittagong and Bangladesh both followed a zig-zag trend with an overall increase, Matlab's new street additions followed a zig-zag trend with an overall increase. Most recently, Matlab's incremental SNDi rose from 5.94 to 9.49 between 1991-2005 and 2006-2020. In terms of the aggregate network, Matlab ranked 22nd out of 44 cities in Chittagong and 148th out of 234 in Bangladesh as of 2020.
New Street Additions (2006–2020)
- SNDi value
- 9.49
- Rank in Bangladesh
- 141st of 234
- Rank in Chittagong
- 22nd of 44
Entire Network (Aggregate)
- SNDi value
- 7.43
- Rank in Bangladesh
- 148th of 234
- Rank in Chittagong
- 22nd of 44
Rankings go from most connected to most disconnected — rank 1 is the most connected.
What about similarly populated cities?
In new street additions, Matlab fluctuated in its street-construction patterns, while Gweru built increasingly disconnected streets from 1975 through 1976-1990, then improved and Dourbali built increasingly disconnected streets over time. Looking at the full network, Gweru and Dourbali both became progressively more disconnected, while Matlab became more connected from 1975 through 1991-2005, then grew more sprawly from 1991-2005 onwards.