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Understanding Factors That Impact Ridesourcing Service Usage Frequency: A Case Study in Shanghai

Transportation Planning and Technology, 2023
Yuntao Guo, Feiyu Feng, Xinghua Li
exaly   +2 more sources

The Disruptive Effect of Ridesourcing Services on For-Hire Vehicle Drivers’ Income and Employment

Transport Policy, 2020
Abstract Ridesourcing services provided by Transportation Network Companies (TNCs) such as Uber and Lyft are spreading across the United States and are thriving. As a result of TNCs' expansion, there has been concern that ridesourcing is disrupting the traditional for-hire vehicle market, and those drivers are suffering.
Wang Sicheng, Michael J. Smart
exaly   +2 more sources

A review of Ride-Matching strategies for Ridesourcing and other similar services

Transport Reviews, 2020
Ridesourcing services have emerged as a popular alternative for commuters in metropolitan areas.
Jayita Chakraborty   +3 more
openaire   +1 more source

Testing Curbside Management Strategies to Mitigate the Impacts of Ridesourcing Services on Traffic

Transportation Research Record: Journal of the Transportation Research Board, 2020
Increased use of ridesourcing leads to increased pick-up and drop-off activity. This may slow traffic or cause delays as vehicles increase curb use, conduct pick-up and drop-off activity directly in the travel lane, or slow to find and connect with passengers. How should cities respond to this change in an effort to keep travel lanes operating smoothly
Andisheh Ranjbari   +4 more
openaire   +1 more source

Quantifying Environmental Benefits of Ridesplitting based on Observed Data from Ridesourcing Services

Transportation Research Record: Journal of the Transportation Research Board, 2021
The increasing emissions from the transportation sector pose substantial hazards to the environment and human health around the world. With the rapid development of information and communication technologies, ridesplitting, a form of ridesourcing service accessed via smartphone applications, enables passengers with similar origins and destinations to ...
Xinghua Liu   +4 more
openaire   +1 more source

Revenue Usages, Pricing Schemes, and Media Discussions for Taxing Ridesourcing Services

Transportation Research Record: Journal of the Transportation Research Board, 2020
Shared mobility is transforming transportation in major urban cities. This paper focuses on taxes and fees on ridesourcing services, particularly those revenue strategies levied on their usages, generally on a per trip basis. These revenue strategies are analyzed from three main aspects. First, the usage of revenues was assessed.
Jerry Zhirong Zhao   +2 more
openaire   +1 more source

Impact of a Ridesourcing Service on Car Ownership and Resulting Effects on Vehicle Kilometers Travelled in the Paris Region

Case Studies on Transport Policy, 2020
Abstract The question of the impacts of ridesourcing on traffic externalities has emerged as a widely debated topic, and as a fundamental matter to address everywhere ridesourcing services developed. In order to understand these traffic-related outcomes, it is necessary to analyze the effects of ridesourcing on mobility practices.
François Adoue, Nicolas Louvet
exaly   +2 more sources

Beyond expected regularity of aggregate urban mobility: A case study of ridesourcing service

Journal of Transport Geography, 2021
Abstract The regularity of urban mobility is a tacit understanding in public transportation planning. Many studies investigated regularity in the context of individual travel while fewer were found on aggregate mobility. This work proposes a generic measure of regularity to quantify the degree of repetition of a time or spatial data series.
openaire   +1 more source

Air Pollution, Greenhouse Gas, and Traffic Externality Benefits and Costs of Shifting Private Vehicle Travel to Ridesourcing Services

Environmental Science & Technology, 2021
On-demand ridesourcing services from transportation network companies (TNCs), such as Uber and Lyft, have reshaped urban travel and changed externality costs from vehicle emissions, congestion, crashes, and noise. To quantify these changes, we simulate replacing private vehicle travel with TNCs in six U.S. cities.
Jacob W. Ward   +2 more
openaire   +2 more sources

Dynamic predictive models for ridesourcing services in New York City using daily compositional data

Transportation Research Part C: Emerging Technologies, 2020
Abstract In recent years, there has been a tremendous change in the landscape of mobility offerings with the introduction with the introduction of Uber and Lyft, companies collectively known as Transportation Network Companies (TNCs), otherwise known as ridesourcing companies.
Patrick Toman   +3 more
openaire   +1 more source

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