Quantitative measures for assessing the levels of human security and urban density of city wards have been previously formulated and applied to the data obtained for Mumbai, to investigate relationships between the two sets of data. Data mining techniques revealed that certain corollaries between the DM and DI data did exist and a regression equation for predicting ward-wise DI using respective DM values was found. Since this prediction was possible across the wards with little error, it was reasonably assumed that DI and DM were intrinsically linked, at least in Mumbai. To test this hypothesis, the same data mining techniques have been applied to Ahmedabad and Tokyo. These cities have been selected because the former presents differences in scale and urban character while retaining a similar socio-economic structure whereas the latter diverges completely in terms of socio-economic character, but has a similar scale of population. A test across many divergent factors is hoped to bring in universality in testing the hypothesis, and pose interesting situations which can then be used to amend the initial hypothesis to make it robust. Furthermore, the macro-level quantitative analysis is followed by a micro-level qualitative analysis of some parts of Mumbai to clarify errors of aggregation arising in the macro-level analysis and also to investigate the effects of Intensity density for which macro-level data was unavailable.
