[HTML][HTML] How machine learning informs ride-hailing services: A survey
In recent years, online ride-hailing services have emerged as an important component of
urban transportation system, which not only provide significant ease for residents' travel …
urban transportation system, which not only provide significant ease for residents' travel …
Ridesourcing systems: A framework and review
With the rapid development and popularization of mobile and wireless communication
technologies, ridesourcing companies have been able to leverage internet-based platforms …
technologies, ridesourcing companies have been able to leverage internet-based platforms …
A multimodal multi-provider market equilibrium model: A game-theoretic approach
The prominent planning components of recent transport systems are multimodality, pricing,
shared mobility, and bundling. These systems consist of several service providers …
shared mobility, and bundling. These systems consist of several service providers …
[HTML][HTML] Calibration and validation of matching functions for ride-sourcing markets
Ride-sourcing services have become increasingly important in meeting people's mobility
needs since their emergence. Compared to traditional street-hailing taxi services, ride …
needs since their emergence. Compared to traditional street-hailing taxi services, ride …
A survey on the impact of AI-based recommenders on human behaviours: methodologies, outcomes and future directions
Recommendation systems and assistants (in short, recommenders) are ubiquitous in online
platforms and influence most actions of our day-to-day lives, suggesting items or providing …
platforms and influence most actions of our day-to-day lives, suggesting items or providing …
A systematic literature review on machine learning in shared mobility
J Teusch, JN Gremmel, C Koetsier… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
Shared mobility has emerged as a sustainable alternative to both private transportation and
traditional public transport, promising to reduce the number of private vehicles on roads …
traditional public transport, promising to reduce the number of private vehicles on roads …
[HTML][HTML] Predicting the price of taxicabs using Artificial Intelligence: A hybrid approach based on clustering and ordinal regression models
With increasing popularity of ride-hailing services, it becomes important to build transparent
and explainable pricing models using artificial intelligence (AI). While the literature on this …
and explainable pricing models using artificial intelligence (AI). While the literature on this …
What Affects User Experience of Shared Mobility Services? Insights from Integrating Signaling Theory and Value Framework
B Basu, MP Sebastian, AK Kar - Information Systems Frontiers, 2024 - Springer
Shared services using digital platforms have increasingly gained prominence in recent
times. Existing studies have studied several facets of ride-sharing services, but mobile app …
times. Existing studies have studied several facets of ride-sharing services, but mobile app …
Intercity ridesharing to the rescue: Capacity flexibility and price stability of BlaBlaCar during the 2018 French railway strike
The increased usage of alternative transportation modes during public transportation
disruptions has been well documented in the literature. While many papers discuss the …
disruptions has been well documented in the literature. While many papers discuss the …
Optimising ride-sharing efficiency: innovative shareability-focused pricing strategies
Ride-sharing is increasingly recognised as a potential solution to transportation issues such
as traffic congestion and parking problems. The success of ride-sharing systems depends …
as traffic congestion and parking problems. The success of ride-sharing systems depends …