Previous scholarly endeavors to examine the digital divide about using ride-hailing services
among older adults from a macro perspective fail to delve into the specific challenges within …

Purpose This study aims to explain the influence of four socio-psychological variables:
social comparison orientation, face saving (FS), status consumption (STC) and frugality …

This paper investigates the ride-acceptance behavior of drivers on ride-sourcing platforms,
considering drivers' freedom to accept or reject ride requests. Understanding drivers' …

In recent years, ride-hailing services (RHS)(also known as on-demand ride services), such
as Uber, Ola, Lyft, Didi, etc., have transformed the urban transportation environment. RHS …

This study proposes a Structural Equation Model (SEM) to explore the relationship between
the behavior from the driver, perceived service atmosphere, perceived value, attitude and …

The study investigates the latent heterogeneity in travel behaviour among urban travellers,
including ride-hailing service (RHS) users and non-users, by incorporating attitudes so as to …

ABSTRACT Mobility as a Service (MaaS) has emerged as a transformative concept in urban
transportation, integrating multiple modes of transportation through digital platforms to …

Understanding ridesharing users' demographics and travel behavior is crucial for sha**
transportation policies and urban planning strategies. This study utilizes data from the NHTS …

This article examines the strategic market expansion of ride-hailing services in the CIS
region. It analyzes the economic, cultural, and regulatory factors influencing the decision …

The urban transportation landscape has witnessed a significant transformation with the
advent of ridehailing services. This study focuses on analyzing the shifts in travel mode …