Abstract

Due to the elderly’s limited physical ability, their mode choice behavior with particular demand for the traffic system is significantly distinguished compared to young people. The emergence of Autonomous Vehicles (AVs) and Shared Autonomous Vehicles (SAVs) will allow the elderly to travel independently and offer more mode choices. However, emerging vehicles will continue to coexist with other traditional modes such as public transport. This paper aims to explore the internal mechanism of the elderly’s choice behavior among public transport, AVs, and SAVs. We integrated the relevant factors by expanding the ecological model and used the Multiple Indicators and Multiple Causes (MIMIC) model to analyze the constructs’ relationship. The results show that the elderly believe that public transport, AVs, and SAVs are useful and convenient travel modes for themselves, affecting intention significantly. In addition, the elderly’s well-being and social influence during travel are also significant constructs for their behavioral intention. The research could provide academic supports for the traffic management departments when making relevant policies and measures for the elderly.

Highlights

  • China is prospecting a larger proportion of elderly people in the total population, and this trend is expected to increase in coming years, which has brought a challenge to society

  • We found that the elderly believe that public transport, Autonomous Vehicles (AVs), and Shared Autonomous Vehicles (SAVs) are useful and convenient travel modes for themselves, affecting intention significantly

  • Davis proposed that the Technology Acceptance Model (TAM) ‘s core concept is that users’ accepDtaanvcise opfroepmoesregdintghaint ftohremTaeticohnntoelcohgnyoAlocgcyepwtialnl caeffeMctoudseelrs(T’ iAnMten) t'isoncosr[e39c]o. nFciegputreis1tshhaotwussethrse' farcacmepetwanorcke ooff TeAmMer.gPinegrceinivfoedrmUasteiofunlnteecshsn(PoUlo)gaynwd iPllearcffeeivctedusEearsse' ionfteunsteio(PnEs )[3in9]T

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Summary

Introduction

China is prospecting a larger proportion of elderly people in the total population, and this trend is expected to increase in coming years, which has brought a challenge to society. The travel problem related to the quality of life for the elderly has especially attracted researchers [1]. The physical condition of the elderly and the current traffic modes have become obstacles to their travel activities. Some elderly people report problems such as “squeeze, unstable, and not to come” on the bus, which weakens their mobility. Mobility is closely related to the physical condition and quality of life of the elderly [2,3] and promotes society’s overall development [4]. This study aims to analyze the mode choice behaviors of the elderly towards public transport, AVs, and SAVs, which are based on the elderly’s travel needs and the extended ecological model. Travel Mode Choice of the Elderly According to Autonomous Vehicle. The mode choice set of these studies include bus, private car, walking, etc

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