Just a better taxi? A survey-based comparison of taxis, transit, and ridesourcing services in San Francisco
By Lisa Rayle, Danielle Dai, Nelson D. Chan, Robert Cervero, Susan A. Shaheen. 2016
1,108 citations recorded by the source corpus.
Subfields: Automotive Engineering, Marketing, Transportation
View Paper: https://www.semanticscholar.org/paper/cb87d0e9456efd9cf01d740fb865589da55b0359
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Automotive Engineering
- Sujan Sikder
- Adam P. Cohen
- Susan A. Shaheen
- Scarlett T. Jin
- Hui Kong
- Daniel Z. Sui
- Ahmadreza Faghih-Imani
- V. Garikapati
In Marketing
- Naveen Eluru
- Sabreena Anowar
- Adam P. Cohen
- V. Garikapati
- R. Pendyala
- Susan A. Shaheen
- Scarlett T. Jin
- A. Gómez-Lobo
In Transportation
- Sabreena Anowar
- Naveen Eluru
- Chandra R. Bhat
- Sujan Sikder
- R. Pendyala
- V. Garikapati
- Adam P. Cohen
- Eric J. Miller
Citations in the corpus
- Uber, Public Transit, and Urban Transportation Equity: A Case Study in New York City (2019, background): “Discussions on these two issues are convoluted because ridesourcing not only generates modal shift from taxis but also from public transit (Rayle et al. 2016).”
- How app-based ride-hailing services influence travel behavior: An empirical study from China (2020, background): “Rayle et al. (2016) collected 380 surveys in San Francisco and focused on the competition between appbased on-demand ride sourcing and traditional taxi services.”
- A Model of Ridesourcing Demand Generation and Distribution (2018, background): “’s results, which suggest, as in San Francisco, that ridesourcing in Austin too is used more for social and leisure activities than work-related activities (2).”
- A behavioral choice model of the use of car-sharing and ride-sourcing services (2017, background): “As noted by Rayle et al. (2016), the overall impacts of ride-sourcing services on vehicle travel are unclear.”
- Substitution of Ride-Hailing Services for More Sustainable Travel Options in the Greater Boston Region (2019, background): “Similar to Rayle et al’s study, surveyed ride-hailing passengers tended to be younger, more educated, and have a higher household income when compared with the citywide population.”
- Supply, demand, operations, and management of crowd-shipping services: A review and empirical evidence (2019, result): “In line with expectations, and similarly to passenger ride-hailing, the respondent age plays an important role (Rayle et al., 2016).”
- Ride-Sharing, Fatal Crashes, and Crime (2017, positive): “Conversely, these applications reduce passenger wait times and may encourage some drowsy or intoxicated potential drivers to ride instead (Rayle et al. 2016).”
- Shared ride services in North America: definitions, impacts, and the future of pooling (2018, background): “It is important to note that the Rayle et al. (2016) study was conducted before the introduction of pooled services, such as Lyft Line and uberPOOL, which allows for shared rides among individuals with similar origins and destinations.”