When performing the accessibility calculation methodology at mesh block level, it is possible to incorporate demographics from the census data to better interpret the accessibility results and define ‘need’. A refinement of this process is to calculate accessibility at a finer level such as at a household level, rather than at a meshblock centroid level, and aggregate the finer results within each meshblock and then compare census data. This method retains ‘outlier’ results that can be hidden if only dealing with meshblock centroids. A trial technique to identify households requiring transport ‘need’ has recently been piloted by Abley Transportation Consultants for Hamilton city.
Allowing for the incorporation of ‘need’ allows the accessibility scores to be weighted by the meshblock population so that proposals from different sites could be compared to see where the greatest net increase in accessibility would be realised. This measure would be similar to the ‘network accessibility balance’ measure proposed by Espada and Luk (2009).