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Modeling the Evolution of Ride-Hailing Adoption and Usage: A Case Study of the Puget Sound Region

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TLDR
In this article, the authors provide a basis to understand and quantify changes in ride-hailing services in cities around the world, using publicly available data sources that can be used for understanding and quantifying changes.
Abstract
Ride-hailing services have grown in cities around the world. There are, however, few studies and even fewer publicly available data sources that provide a basis to understand and quantify changes i...

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A practical guide to the American Community Survey (3-year estimates)

Tom R. Rex
TL;DR: The American Community Survey (ACS) as discussed by the authors has been conducted on an ongoing basis for the entire country since 2005 and has been shown to be more accurate than the traditional decennial census.
Journal ArticleDOI

Examining factors influencing the adoption of solo, pooling and autonomous ride-hailing services in Australia

TL;DR: In this paper , the authors examined the factors influencing the frequency of ride-hailing use and the demand for pooled and autonomous vehicle (AV) rides in Australia and found that there is a divide between factors affecting not only the use of using ridehailing in the status quo but also in the future adoption of new services of pooled and AV-based services.
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Linking TNC with passengers: Investigating TNC use among lower-income residents with limited access to cars

TL;DR: In this article , the authors examined the trip purposes, travel time, and origins and destinations of TNC trips recorded in the travel survey to explore how and why residents use TNC services, and explored the associations between TNC adoption, usage, and a series of demographic and socioeconomic variables.
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Ride-Hailing Service Adoption and Local Context in Motorcycle-Based Societies: Case Study in Hanoi, Vietnam

TL;DR: In this article , the authors compared three types of choice-set structures in the context of urban travel mode choice by estimating standard logit and nested logit models to test six hypotheses on the associations of RHS adoption with its determinants.
References
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Journal ArticleDOI

Fusing Multiple Sources of Data to Understand Ride-Hailing Use:

TL;DR: A data fusion process is employed to gain deeper insights about the characteristics of ride-hailing trips and their users to better understand the use of these services.
Journal ArticleDOI

Review of Evidence for Temporal Transferability of Mode-Destination Models

TL;DR: In this article, the importance of model transferability has been recognized since disaggregate models were first applied in the late 1970s and early 1980s, but seems to have been largely forgotten recently, because the focus has been on the development of ever more advanced models that better explain current behavior, with a particular focus on the representation of taste heterogeneity.
Posted Content

Exploring the Relationships Among Travel Multimodality, Driving Behavior, Use of Ridehailing and Energy Consumption

TL;DR: The authors focus on the environmental impacts of various modality styles and the frequency of ridehailing use among a sample of millennials and members of the preceding Generation X.
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