Growth and Pattern of Urbanisation: An Analysis of Barasat Subdivision, North 24 Parganas, West Bengal
Barnali Mitra (Sinha), Deb Prakash Pahari
Journal of Geography, Environment and Earth Science International · pp. 1–16 · Published 27 May 2019
10.9734/jgeesi/2019/v21i230121Abstract
Urbanisation is one of the most significant development process affecting the modern world particularly the developing countries. However, often the pattern and level of urban development are highly variable both spatially and temporally. Barasat subdivision comprises the sadar subdivision of the district of North 24 Parganas in West Bengal. This district traditionally has a glorious history of urbanisation being much higher than both the state and national averages. Within the district, this subdivision has shown a slow and steady growth of urbanisation since independence. Although the percentage of urban population has remained below the district average it has been significantly higher than the state and national average. The study aims to find out the trends, levels of urbanisation and spatio-temporal pattern of urbanisation in the study area using quantitative and qualitative techniques. Mostly secondary data sources have been used. The study reveals that there are significant spatio-temporal variation in levels of urbanisation within the subdivision. The subdivision was overshadowed in the urban scenario mainly due to the overwhelming presence of neighbouring Barrackpore subdivision till 1981. The situation has significantly altered after Barasat being declared the district headquarter in 1986.
Cited by 0
No indexed citations yet.
Related research
Article metrics
Real usage data collected on this platform.
0
Page views
0
PDF downloads
0
Outbound clicks
0
Citations
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
No views recorded yet.
Traffic sources
Referring site, by host.
No traffic recorded yet.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.