Abstract
The number of elderly people as a proportion of the world’s population is growing significantly. Special attention to the accessibility and mobility requirements of this group is needed. The contribution of this paper is a review of travel patterns, mode preferences, infrastructure solutions, accessibility indices, mode choice models and datasets as they relate to elderly mobility. Key findings highlight the role of residential location characteristics in shaping elderly travel patterns, helping to explain why research on elderly travel has largely relied on case studies to date. The review also summarizes a range of indices that have been developed to measure public transport and walking accessibility among the elderly, including distance and time-based methods. Future research should consider the dominance of private transport in facilitating elderly mobility and its implications for cities experiencing an aging population.
Highlights
Over the coming decades, with the aging of the baby boomer generation and declining birth rates, the number of elderly people is expected to increase significantly worldwide [1]
Following an initial review of key topics covered by the literature, elderly sustainable transport accessibility studies were classified into four key categories: social and transport, infrastructure improvement, accessibility index and mode choice (Figure 2)
This paper has provided a literature review of travel patterns, mode preferences, infrastructure solutions, accessibility indices, mode choice models and datasets as they relate to elderly mobility
Summary
With the aging of the baby boomer generation (those born between 1946 and 1964) and declining birth rates, the number of elderly people is expected to increase significantly worldwide [1]. This is followed by an overview of datasets used for elderly choice model. Following an initial review of key topics covered by the literature, elderly sustainable transport accessibility studies were classified into four key categories: social and transport, infrastructure improvement, accessibility index and mode choice (Figure 2).
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