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The bicycle is an efficient way to travel. There are individual and population-level health and wellbeing benefits that arise when more people cycle. However, cycling is rare in England and Wales and commuter cyclists are disproportionately likely to be male and middle aged (35 to 49). Society therefore misses out on the wider benefits of higher cycling levels, and women and certain age groups miss out on the individual level benefits. This thesis uses geospatial analysis to examine cycling behaviours at multiple scales, seeking to understand the interactions between demographics and causal factors of commuter cycling mode share. It also examines the influence of vehicular traffic in detail and considers what actions local authorities might take to increase cycling levels. Using both aggregate (area-based) and network (route based) modelling approaches, it identifies that the most important factors influencing cycling behaviours are hilliness, traffic, wealth, temperature and population density. Whilst these and other factors differ somewhat in their relative importance between demographic groups, differences in cycling rates are best explained by group-specific responses to the combined influence of all factors ��� the relative utility of cycling. On average, women and older (>49) or younger ( |
