9. CONCLUSION AND SCOPE FOR FURTHER RESEARCH
The study investigated
the urban sprawl phenomenon occurring along the Bangalore - Mysore highway and
found that there has been an overall increase in the built-up area by 194%,
the Bangalore North - South taluks having the highest percentage (559%) increase
and Srirangapatna - Mysore with the lowest percentage (128%) change in built-up
area. Further it was also found the change in built-up was high as the distance
from Bangalore decreased. With the Shannon's entropy analysis, the study could
identify where the sprawl was taking place and its degree as well. The Bangalore
North - South taluks showed higher value entropy indicating sprawl, while the
Mandya - Maddur taluks showed lower entropy value indicating compactness or
less dispersion. Further, it is seen that Bangalore city was sprawling in radial
direction (from the city centre) as well as linearly along the major roads.
along the Tiruchirapalli – Tanjavore – Kumbakonam – Thiruvarur region revealed
that the change in built-up area for nearly three decades was 93.25 %. Further it was found that there
was highly dispersed growth in the region with the development mostly taking
place along the highways apart from the city’s periphery and the riverbank.
The study carried
out along the Mangalore - Udupi highway to identify and quantify the sprawl
found that the percentage change in built-up over the period of nearly thirty
years was 145.68 %. By 2050, the built-up area in the region would rise to 127.7
sq. km, which would be nearly 106 % growth in the change in built-up area to
the current sprawl of 61.7703 sq. km over the region.
The study demonstrates
GIS and remote sensing coupled with statistical analyses, such as arriving at
Shannon's entropy help immensely in spatial and temporal analyses for studying
the sprawl and for delineating the regions with higher sprawl.
Further the thrust being on the modeling studies, the study successfully
defines the sprawl phenomenon with respect to mathematical relationships. From
these the possibilities of sprawl in terms of percentage built-up were estimated
for 2051 and 2101. The future scope of this work would look into generating
the images of further sprawl under different scenarios to understand any threat
to natural resources and ecosystem. The study demonstrates that the application
of GIS and remote sensing coupled with statistical analyses, such as arriving
at Shannon's entropy helps in studying the sprawl and identifying regions having
potential for subsequent sprawl.
With the development and infrastructure initiatives mostly around the urban centres, the impacts of urban sprawl would be on the natural resources and ecology. The wisdom lies in how effectively we plan the urban growth without hampering the natural resources and disturbing the rural set-up. Planning should also focus on a dispersed economic structure and aim at creation of balanced ecological, social, and economic system.