Urban Form and Levels of Development

In order to test the effect of level of development on the urban form a correlation was run between different class metrics, socio-economic development and infrastructural development. The levels of development of the towns have been calculated using Principal Component Analysis Method. Different indicators used for the calculation of socio-economic development are: Adult sex ratio, sex ratio (0-6) age group, literacy rate, male literacy rate, female literacy rate and work participation rate. For the calculation of infrastructural development of towns following indicators were used: Electrification (Number of Connections) for domestic use per thousand populations, number of hospitals per thousand population, number of primary schools per thousand populations, number of cinema halls per thousand populations and number of banks per thousand populations. Though the correlation between socio-economic development and landscape metrics was not significant, it was significant in case of infrastructural development. Percentage landscape index was significantly correlated (0.837) with the infrastructural development. Other indices which showed significant correlation with infrastructural development are largest patch index and fractal dimension index and radius of gyration. With the increase in the level of infrastructural development, the complexity of the built-up also increases as shown by the fractal dimension index. These show that with increasing level of infrastructural development, urban land- form becomes more complex and percentage of built up increases. NCR as a case study has shown that a planned development is the need of the hour so the land should be utilized judiciously and haphazard development must be checked. The analysis at more disaggregated level will be more helpful to represent the form and regional development of the city.

This signifies that with the level of infrastructural development the built up increases in size as depicted by Percentage Landscape index and Largest Patch index. The fractal dimension index shows that with increased level of infrastructural development the complexity of the built up also increases. The level of socio-economic development is positively correlated with these indices but the correlation is not significant. With density also none of the correlations are significant (Tables 3 and 4).

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