No abstract

Hong Kong's population is ageing at an unprecedented and considerable rate, predominantly due to sustained low fertility and mortality rates. In 2013, the proportion of people aged 60 years or above was the second highest in Asia, exceeded only by that in Japan. Given that Hong Kong is a high-density, transit-oriented city, the predicted rapid growth of its elderly population is expected to significantly affect the existing public transport systems. To provide suitable policy recommendations that cater to the travel needs of an ageing society, we must investigate and understand the travel behavior and preferences of Hong Kong's elderly citizens. In this study, we extracted the household interview survey data from the 2011 Travel Characteristics Survey to identify the travel patterns of the elderly and compare them with other age cohorts and among subgroups of the elderly population. We visualize and uncover the spatio-temporal travel characteristics of the elderly, and offer policy insights that promote age-friendly public transport systems. We believe that the findings and discussions herein will prove useful in future studies aiming to establish effective and appropriate public transport policy measures to improve elderly mobility.

No abstract

Population aging is happening in most of the world's metropolitan cities, and the proportion of elderly adults is predicted to increase significantly in the coming decades. This rapid growth of elderly populations may lead to serious transport issues when their mobility is compromised by the unavailability of public transport services. Public transport concession fare schemes are commonly implemented in many cities to encourage the elderly's participation in social activities. However, these policies emphasize the role of money (i.e., travel fares) in determining willingness to travel. Other possible factors, such as walking distance to and from stops and stations, wait times for public transport services, and seat availability, have not been considered by transport operators and policy makers. In this study, we interviewed 613 elderly Hong Kong residents aged 60 or above regarding their travel decisions using designated modes of public transport to attend social activities in four hypothetical games. A total of 2,452 observations were collected for model development. Binary logistic regression models were calibrated to determine which factors significantly influenced the elderly's travel decisions. Based on the model results, this paper suggests policy measures to strengthen public transport planning in Hong Kong with the goal of improving elderly mobility. The findings provide policy insights that can also be applied to other metropolitan cities with similar traffic conditions.