Recent interest in the urban transport challenges posed by the demographic outlook of ageing societies has prompted a growing body of scholarship on the subject. The focus of this paper is on the topic of elderly trip generation and the development of models to help formalise some important relationships between trip-making behaviour and personal, household and contextual variables (such as location). The case study is the Hamilton Metropolitan Area-an important functional component of Greater Toronto, itself one of the regions in Canada where the impact of ageing is expected to be most strongly felt. Using data from Toronto's Transport Tomorrow Survey and mixed ordered probit models, the study investigates the question of spatial and demographic variability in trip-making behaviour. The results support the proposition that trip-making propensity decreases with age. However, it is also found that this behaviour is not spatially homogeneous and in fact exhibits a large degree of variability-a finding that highlights both the challenges of planning transport for the elderly and the potential of spatial analytical approaches to improve transport modelling practice.
Planners and policymakers often cite the tangible objective of land use change as a primary motivation and justification for an investment in light rail transit (LRT). But how has light rail performed with respect to achieving this goal? This paper reviews and synthesizes the previous literature on LRT and other rail rapid transit systems in North America, demonstrating that rail transit alone is not a primary driver of land use change and that six beneficial factors affect the ability of these systems to have a measurable impact on reshaping and revitalizing cities.