Results 231 to 240 of about 145,063 (269)
Machine learning for ride-sourcing services
, 2023 Ride-sourcing services have experienced a fast-growing period in this era around the world. The prosperity of the novel mobility mode enriches the current transportation mode, enhances the connection across the city, and quickly becomes one of major travelling choices.
Feng, Siyuan
openaire +3 more sources
Ride-Sourcing Compared to Its Public-Transit Alternative Using Big Trip Data [PDF]
Journal of Transport Geography, 2021 Ride-sourcing risks increasing\ua0GHG emissions\ua0by replacing public transit (PT) for some trips therefore, understanding the relation of ride-sourcing to PT in urban mobility is crucial. This study explores the competition between ride-sourcing and PT
Yuan Liao
exaly +2 more sources
The Effects of On- and Before- Journey Advantages Using Ride-Sourcing in Indonesia
Sustainability, 2021 This paper explores the effects of on-journey (i.e., waiting and travel time reliability, driver quality), before-journey (i.e., service coverage, application quality, fare, etc.), and multi-tasking advantages when using ride-sourcing, the perceived ...
Muhamad Rizki +2 more
exaly +2 more sources
Designing a Dynamic Matching Method for Ride-Sourcing Systems [PDF]
, 2020 The ubiquity of smart-devices enables the foundation for emerging fast-growing ride-sourcing companies that challenges the traditional taxi services. A crucial aspect of designing ride-sourcing systems is matching mechanism between idle ride- sourcing vehicles and passenger travel requests (i.e. vehicle-passenger matching).
Valadkhani, Amir Hosein +1 more
openaire +2 more sources
Transportation, 2020 In the last decade, the emergence of ride-sourcing services has transformed personal trip behavior. In the context of Indonesia, ride-sourcing services have evolved into two modes of transport: motorcycle-based and car-based.
Ari K.M. Tarigan +2 more
exaly +2 more sources
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Approximating a Ride-Sourcing System with Block Matching
SSRN Electronic Journal, 2022On-demand matching between waiting passengers and idle drivers is one of the most important components in a ride-sourcing system. A variety of matching mechanisms have been developed to meet different needs of ride-sourcing platforms, e.g. mitigating supply–demand imbalance, maximizing platform revenue.
Siyuan Feng +3 more
openaire +2 more sources
Competition and Third-Party Platform-Integration in Ride-Sourcing Markets
Transportation Research Part B: Methodological, 2022 Recently, some third-party integrators attempt to integrate the ride services offered by multiple independent ride-sourcing platforms. Accordingly, passengers can request ride through the integrators and receive ride service from any one of the ride ...
Hai Yang, Jintao Ke, Hai Wang
exaly +2 more sources
A dynamic ride-sourcing game with many drivers
2017 55th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2017We consider a dynamic game model of ride-sourcing, where a large number of private car owners provide rides to randomly appearing customers. Free drivers can travel around the city to improve their chance of being hired. They have access to the origin-destination statistics, to the current customer requests and to information about traffic congestion ...
Rabih Salhab +2 more
openaire +3 more sources
Government regulations for ride-sourcing services
2023In this chapter, we investigate the properties of the Pareto-efficient frontier, the two endpoints of which indicate the monopoly optimum and the social optimum, respectively. To facilitate our analyses and avoid redundancy, we approximate the matching frictions using the deductive matching model based on the first-come-first-served matching scheme ...
Ke, Jintao +3 more
openaire +2 more sources
Price of competition and fragmentation in ride-sourcing markets
Transportation Research Part C: Emerging Technologies, 2022This paper proposes a general model for describing the equilibrium state of a ride-sourcing market with an arbitrary number of platforms competing with each other. As the number of platforms increases, the market changes from monopoly to duopoly, oligopoly, and finally perfect competition, bringing about two different effects on system efficiency.
Yaqian Zhou, Hai Yang, Jintao Ke
openaire +2 more sources