Results 201 to 210 of about 4,818,509 (258)
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2023 International Conference on Mobile Internet, Cloud Computing and Information Security (MICCIS), 2023
Online ride-hailing has gained recognition and become increasingly popular as a way to ease traffic congestion. However, it also poses a serious threat to people's data privacy.
Juyuan Zhang +4 more
semanticscholar +1 more source
Online ride-hailing has gained recognition and become increasingly popular as a way to ease traffic congestion. However, it also poses a serious threat to people's data privacy.
Juyuan Zhang +4 more
semanticscholar +1 more source
The political game of innovation: evidence from the ride-hailing service industry
European Journal of Innovation Management, 2022PurposeUnderpinned by the legitimacy perspective, this study explores how ride-hailing services are legitimized through resource exchange among the industry players. The authors explore the types of legitimacy involved in the legitimation process.
Wei-Che-Ah Chee, K. Koay
semanticscholar +1 more source
Preserving Location Privacy in Ride-Hailing Service
2018 IEEE Conference on Communications and Network Security (CNS), 2018Ride-hailing service has become part of our daily life due to its convenience and low cost. However, it also raises location privacy concerns for riders, because the service provider can observe the full mobility traces of riders while they hail rides. To address this problem, we first present a baseline privacy preserving solution.
Youssef Khazbak +3 more
openaire +1 more source
Ride-Hailing Service aware Electric Taxi Fleet Management using Reinforcement Learning
International Conference on Ubiquitous and Future Networks, 2022Recently, the adoption of electric taxis (e-taxis) has become an essential option in many countries for the reduction of carbon emissions from large cities.
P. Silva +3 more
semanticscholar +1 more source
Transportation letters, 2022
In practice, the ride-hailing platform generally provides two products: express services and ridesplitting services, and driver resources are usually shared across these two products on the supply side, i.e., hybrid ride-hailing mode.
Xue-Feng Li, Mingyang Du, Mei-Po Kwan
semanticscholar +1 more source
In practice, the ride-hailing platform generally provides two products: express services and ridesplitting services, and driver resources are usually shared across these two products on the supply side, i.e., hybrid ride-hailing mode.
Xue-Feng Li, Mingyang Du, Mei-Po Kwan
semanticscholar +1 more source
Predicting Ride Hailing Service Demand Using Autoencoder and Convolutional Neural Network
International journal of software engineering and knowledge engineering, 2022Ride hailing services, such as Uber, Lyft, and Grab, have become a major transportation mode in the last decade. The number of current passenger requests is one of the important factors for such services routing and pricing algorithms.
Z. Ara, M. Hashemi
semanticscholar +1 more source
Environmental Data Collection as a Byproduct for Autonomous Ride-Hailing Services
2021 IEEE International Intelligent Transportation Systems Conference (ITSC), 2021Shared mobility systems such as ride-hailing services transform urban mobility and have the potential to increase the efficiency of road transport. In this paper, we examine the possibility to establish the collection and daily updating of highly dynamic environmental data as a side-business for autonomous ride-hailing companies.
Leonie Frantzen +5 more
openaire +2 more sources
Evidence for Acceptance of Ride-Hailing Services in Iran
Transportation Research Record: Journal of the Transportation Research Board, 2020Ride-hailing, as an important part of the sharing economy in the transport sector, has gradually become a popular model of travel. Nowadays, ride-hailing is rapidly being adopted in Iran. Thus, there is a necessity to explore the factors that determine potential users’ acceptance of ride-hailing services.
Morteza Akbari +4 more
openaire +1 more source
IEEE transactions on intelligent transportation systems (Print)
Demand prediction is essential for enhancing the service quality of ride-hailing platforms. However, the imbalanced and highly skewed nature of ride-hailing demand poses challenges in achieving accurate predictions, especially at major transport hubs ...
Kun Jin +3 more
semanticscholar +1 more source
Demand prediction is essential for enhancing the service quality of ride-hailing platforms. However, the imbalanced and highly skewed nature of ride-hailing demand poses challenges in achieving accurate predictions, especially at major transport hubs ...
Kun Jin +3 more
semanticscholar +1 more source
International Journal of Entrepreneurial Behavior & Research
PurposeDrawing on institutional entrepreneurship theory, this study examines (1) how ride-hailing service markets are created and legitimized and (2) how the involved stakeholders (acting as institutional entrepreneurs) co-evolve to improve city ...
Wei-Che-Ah Chee +3 more
semanticscholar +1 more source
PurposeDrawing on institutional entrepreneurship theory, this study examines (1) how ride-hailing service markets are created and legitimized and (2) how the involved stakeholders (acting as institutional entrepreneurs) co-evolve to improve city ...
Wei-Che-Ah Chee +3 more
semanticscholar +1 more source