How the built environment and the railway network can affect the mobility of older people: Analyses of the southern Swedish region of Scania
mode - rail, place - europe, land use - urban density, land use - planning, planning - surveys, ridership - mode choice, ridership - old people, policy - sustainable
Population ageing, Built environment, Mobility choices, Residential mobility, Sustainable transport
Global society is rapidly ageing. Research on ageing and mobility suggests that better synergies could exist between older people and the built environment. The age-in-place policy will put increased demands on the transport system as a key facilitator for access. The main goal of this study is to examine the spatial distribution of older adults, assessing if it could be affected by selective characteristics of the surrounding built environment and, if so, to what extent. The study district is the region of Scania in the southern part of Sweden. Register-based longitudinal socio-demographic data such as income, employment and education associated with the outcomes of previous travel surveys conducted in the region are the main data sources to be considered. Correlated with population density patterns and expansion of the railway network, this longitudinal approach is expected to reveal causal inferences. Better knowledge may be gained about the environmental and demographic factors that may potentially lead older people to adapt their mobility choices according to the area in which they reside. Research findings could provide useful policy recommendations both to land use and transport planners, contributing to the development of age-friendly neighborhoods, cities and regions.
Permission to publish the abstract has been given by Elsevier, copyright remains with them.
Camporeale, R., Wretstrand, A., & Andersson, M. (2019). How the built environment and the railway network can affect the mobility of older people: Analyses of the southern Swedish region of Scania. Research in Transportation Business and Management, Volume 30, 100368.
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