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4 results for “Ride-Sharing”
Simulation Data for Project on Incentivizing Participation in Peer-to-Peer Ride-Sharing Platform
<p>Unlike commercial ridesharing, non-commercial peer-to-peer (P2P) ridesharing has been subject to limited research---although it can promote viable solutions in non-urban communities. This paper focuses on the core problem in P2P ridesharing: the matching of riders and drivers. We elevate users' preferences as a first-order concern and introduce novel notions of fairness and stability in P2P ridesharing. We propose algorithms for efficient matching while considering user-centric factors including users' preferred departure time, fairness, and stability.</p> <p>The dataset includes our simulation settings and results. Results suggest that individually rational, fair and stable solutions can be obtained in reasonable computational times, and can improve baseline outcomes based on system-wide efficiency exclusively. </p>
Establishing a Dual Generational Modality Dataset: Comparing the Ride-Sharing Adoption Trends and Perspectives of Consumers from two Generational Cohorts, Millennials and Gen-Xers - E2
<p>Ride-hailing services such as Uber or Lyft are the latest tool in sustainable transportation strategies to come under scrutiny. Originally thought to be a way to reduce congestion, these services have actually been shown to increase it in some cases. Although the number of individuals driving around urban centers to find parking appears to decrease with the adoption of ride-hailing, Uber or Lyft drivers are instead circling around waiting for riders. Additionally, ride-hailing services have not led to the abandonment of personal vehicles, but rather to the abandonment of public transit in some cases.</p> <p>The purpose of this study is to evaluate the use of ride-hailing services in the two largest age cohorts in the United States: Millennials and Generation X-ers, focusing on the Southeastern states of Florida and North Carolina. This study seeks to determine how each generation has adopted these methods to help planners learn how to incorporate these strategies in transportation planning.</p> <p>The data provides information about the mode of transportation, trip details, and important socio-economic indicators of 1903 respondents from Florida and North Carolina.</p>
Replication package for "Ride-Sharing and the Geography of Consumption Industries"
<p>This package replicates all the analysis of the associated manuscript. The output is all the figures and tables provided in the paper. All the non-confidential data are also provided in this package.</p>
Message Offering Free Round Trip Ride-Share Ride to Pharmacy
ClinicalTrials.gov study NCT05612373. IPD Sharing: NO. Countries: 1. Publications: 0.
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International Brain Laboratory public data
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OpenNeuro
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