Journal ArticleDOI
Joint Model of Application-Based Ride Hailing Adoption, Intensity of Use, and Intermediate Public Transport Consideration among Workers in Chennai City
Aravinda Devaraj,Ganesh Ambi Ramakrishnan,Gopindra S. Nair,Karthik K. Srinivasan,Chandra R. Bhat,Chandra R. Bhat,Abdul Rawoof Pinjari,Gitakrishnan Ramadurai,Ram M. Pendyala +8 more
TLDR
In this paper, the introduction of mobile application-based ride hailing services represents a convergence between technologies, supply of vehicles, and demand in near real time, and there is growing interest in quan...Abstract:
The introduction of mobile application-based ride hailing services represents a convergence between technologies, supply of vehicles, and demand in near real time. There is growing interest in quan...read more
Citations
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Journal ArticleDOI
Modelling the effects of COVID-19 on travel mode choice behaviour in India
TL;DR: In this article, the authors investigated the effect of socio-demographic characteristics of the travelers on the mode-specific trip frequencies before (January 2020) and during the early stages of COVID-19 spread in India (March 2020).
Journal ArticleDOI
The Optimization Model of Ride-Sharing Route for Ride Hailing Considering Both System Optimization and User Fairness
Yi Cao,Shan Wang,Jinyang Li +2 more
TL;DR: Compared with the traditional non-ride-sharing mode, the ride-sharing scheme can not only effectively reduce the taxi empty-loaded rate and the travel cost of passengers, improve the efficiency of drivers, but also save energy and reduce emissions, and promote the sustainable development of urban traffic.
Journal ArticleDOI
Enhancing Bengaluru’s public transport network: approaches and challenges
TL;DR: In this paper, the authors argue that public transport serves as the sole sustainable solution to chronic congestion; only a large mode-shift towards public transport by 2025 can help reduce congestion on the city's roads.
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.
Journal ArticleDOI
Examining user attitudes towards ride-hailing services – A SEM-MIMIC Ordered Probit approach
TL;DR: In this article , a structural equation model (SEM) and a multiple indicator multiple cause model (MIMIC) were used to estimate the usage propensity of RHS services in Kolkata, as it has the highest share of commuters among the four large metropolitan areas in India.
References
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Journal ArticleDOI
Just a better taxi? A survey-based comparison of taxis, transit, and ridesourcing services in San Francisco
TL;DR: In this paper, the authors explore who uses ridesourcing and for what reasons, how the ridesourcing market compares to that of traditional taxis, and how ridesourcing impacts the use of public transit and overall vehicle travel.
Posted Content
Disruptive Transportation: The Adoption, Utilization, and Impacts of Ride-Hailing in the United States
TL;DR: Clewlow et al. as discussed by the authors presented findings from a comprehensive travel and residential survey deployed in seven major U.S. cities, in two phases from 2014 to 2016, with a targeted, representative sample of their urban and suburban populations.
Journal ArticleDOI
A behavioral choice model of the use of car-sharing and ride-sourcing services
Felipe F. Dias,Patrícia S. Lavieri,Venu M Garikapati,Sebastian Astroza,Ram M. Pendyala,Chandra R. Bhat,Chandra R. Bhat +6 more
TL;DR: In this article, the authors present a bivariate ordered probit model estimated on a survey data set derived from the 2014-2015 Puget Sound Regional Travel Study to better understand the influence of various exogenous socioeconomic and demographic variables on the frequency of use of ride-sourcing and car-sharing services.
BookDOI
Shared Mobility and the Transformation of Public Transit
Sharon Feigon,Colin Murphy +1 more
TL;DR: In this paper, the authors examine the relationship of public transportation (including paratransit and demand-responsive services) to shared modes, including bikesharing, carsharing, microtransit, and ridesourcing services provided by companies such as Uber and Lyft.
Journal ArticleDOI
The who, why, and when of Uber and other ride-hailing trips: An examination of a large sample household travel survey
Mischa Young,Steven Farber +1 more
TL;DR: In this article, the authors found that ride-hailing is too minute and inconsequential to influence the ridership level of other more substantial modes of travel overall, when considering specific market segments, the rise of ridehailing corresponds to a significant decrease in taxi ridership and a rise in active mode of travel, and due to the specific age, timing, and purpose of the subsample, they believe that ride hauling may effectively reduce drunk-driving, and are convinced that as this mode increases in importance in the future, it will have a much more pronounced effect on
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