Abstract

Cities are seeking to reduce the growth of car-based travel by developing public transport networks. Much research asserts that the correct arrangement of built environment will result in the enhancement of public transport utilization. There is, however, debate that this approach results only in ‘self-selection’, that is that only residents willing to travel by public transport will locate in these places with resultant minimal impact on car -user households. If policy solutions towards public transport are to be effective, it is necessary to understand the multi-dimensional relationship between location behavior and travel patterns of residents living in proximity to public transport. This research seeks to model the relationship between residential location and mode choice within a behavioral analysis framework. At this early stage of in the research this paper focuses on the methodological framework.

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