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Modelling the relationship between travel behaviours and social disadvantage
Institution:1. Department of City and Regional Planning, Izmir Institute of Technology, Gülbahce, Urla, Izmir, Turkey;2. School of Civil Engineering and Built Environment, Queensland University of Technology, 2 George Street, Brisbane, QLD 4001, Australia;3. Civil and Environmental Engineering, Kumamoto University, 2-39-1 Kurokami, 860-8555 Kumamoto, Japan;1. Urban Research Program, Griffith University, Australia;2. Global, Urban and Social Studies, RMIT University, Australia;3. School of Geography, Planning and Environmental Management, University of Queensland, Australia
Abstract:The purpose of this paper is to model the travel behaviour of socially disadvantaged population segments in the United Kingdom (UK) using the data from the UK National Travel Survey 2002–2010. This was achieved by introducing additional socioeconomic variables into a standard national-level trip end model (TEM) and using purpose-based analysis of the travel behaviours of certain key socially disadvantaged groups. Specifically the paper aims to explore how far the economic and social disadvantages of these individuals can be used to explain the inequalities in their travel behaviours.The models demonstrated important differences in travel behaviours according to household income, presence of children in the household, possession of a driver’s licence and belonging to a vulnerable population group, such as being disabled, non-white or having single parent household status. In the case of household income, there was a non-linear relationship with trip frequency and a linear one with distance travelled. The recent economic austerity measures that have been introduced in the UK and many other European countries have led to major cutbacks in public subsidies for socially necessary transport services, making results such as these increasingly important for transport policy decision-making. The results indicate that the inclusion of additional socioeconomic variables is useful for identifying significant differences in the trip patterns and distances travelled by low-income.
Keywords:Travel behaviours  Social disadvantage  Income effects  Models  Transport policy
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