Javascript must be enabled to continue!
Ride-hailing and (dis)Advantage: Perspectives from Users and Non-users
View through CrossRef
The introduction of ride-hailing in cities of Latin America and the Caribbean (LAC) remains a relatively new topic in regional research and a contentious issue in local policy and practice. Evidence regarding users and how do they differ from non-users is scarce, and there is little documented evidence about how user preferences and perceptions may influence the uptake of ride-hailing. This paper uses primary data from a survey collected from users and non-users of ride-hailing in Bogotá during 2019 to develop a Latent Class Analysis Model (LCA) to identify clusters of users and non-users of ride-hailing. The paper builds on results from the LCA to reflect on conditions of advantage and disadvantage that may make ride-hailing attractive and beneficial for particular social groups. The paper identifies four unique clusters: Carless middle-income ride-hailing users, Disadvantaged non-users, Young middle-class non-users, and Advantaged ride-hailing users. The research uses data on such perceptions to draw insights that may inform commercial and policy decisions. Findings suggest that issues such as the perception of legality in ride-hailing and aversion to crime play a significant role in the choice of such a mode in the context of Bogotá, particularly among socially and transport advantaged users.
Title: Ride-hailing and (dis)Advantage: Perspectives from Users and Non-users
Description:
The introduction of ride-hailing in cities of Latin America and the Caribbean (LAC) remains a relatively new topic in regional research and a contentious issue in local policy and practice.
Evidence regarding users and how do they differ from non-users is scarce, and there is little documented evidence about how user preferences and perceptions may influence the uptake of ride-hailing.
This paper uses primary data from a survey collected from users and non-users of ride-hailing in Bogotá during 2019 to develop a Latent Class Analysis Model (LCA) to identify clusters of users and non-users of ride-hailing.
The paper builds on results from the LCA to reflect on conditions of advantage and disadvantage that may make ride-hailing attractive and beneficial for particular social groups.
The paper identifies four unique clusters: Carless middle-income ride-hailing users, Disadvantaged non-users, Young middle-class non-users, and Advantaged ride-hailing users.
The research uses data on such perceptions to draw insights that may inform commercial and policy decisions.
Findings suggest that issues such as the perception of legality in ride-hailing and aversion to crime play a significant role in the choice of such a mode in the context of Bogotá, particularly among socially and transport advantaged users.
Related Results
Not Minding the Gap: Does Ride-Hailing Serve Transit Deserts?
Not Minding the Gap: Does Ride-Hailing Serve Transit Deserts?
Transit has long connected people to opportunities but access to transit varies greatly across space. In some cases, unevenly distributed transit supply creates gaps in service tha...
Adopting or Avoiding? Older Adults’ Ride-Hailing Perceptions and Experiences
Adopting or Avoiding? Older Adults’ Ride-Hailing Perceptions and Experiences
Abstract
This qualitative study explored how older adults perceive ride-hailing services and what factors influence their willingness to use them. Informed by the...
Measuring Customers’ Satisfaction and Preferences for Ride-Hailing Services in a Developing Country
Measuring Customers’ Satisfaction and Preferences for Ride-Hailing Services in a Developing Country
Ride-hailing services play an important role in developing countries where conventional transport systems are not enough to meet the needs of commuters because of increased populat...
Determinants of customer’s intention to use ride-hailing services in Kathmandu Valley
Determinants of customer’s intention to use ride-hailing services in Kathmandu Valley
This study identifies the key factors influencing the adoption of ride-hailing services in Kathmandu Valley, guided by the Theory of Planned Behavior (TPB). The research examines h...
Bundling Strategies for Ride-Hailing Platforms Based on Price and Service Level
Bundling Strategies for Ride-Hailing Platforms Based on Price and Service Level
The increasing popularity of ride-hailing applications has given rise to a new channel in which ride-hailing platforms are bundled into aggregation platforms to earn additional ord...
Mathematical Modeling on Integrated Vehicle Assignment and Rebalancing in Ride-hailing System with Uncertainty Using Fuzzy Linear Programming
Mathematical Modeling on Integrated Vehicle Assignment and Rebalancing in Ride-hailing System with Uncertainty Using Fuzzy Linear Programming
The general public frequently uses taxis as local transportation to get from one location to another. Ride-hailing is an innovation in taxi services that lets customers use their s...
EFFECTS OF ENVIRONMENTAL IRREGULARITIES ON STABILITY AND SATISFACTION OF RIDE-HAILING OPERATORS IN LAGOS STATE
EFFECTS OF ENVIRONMENTAL IRREGULARITIES ON STABILITY AND SATISFACTION OF RIDE-HAILING OPERATORS IN LAGOS STATE
In Lagos State, environmental anomalies including traffic congestion, poor road system, and inadequate security infrastructure have had impact on the viability and satisfaction of...
The influencing factors of the smoking behavior of online ride-hailing drivers in China: A cross-sectional analysis
The influencing factors of the smoking behavior of online ride-hailing drivers in China: A cross-sectional analysis
Abstract
Background:Online ride-hailing is a fast-developing new travel mode, and tobacco control policies on it have not yet been improved. This study aims to reveal the s...

