2019
DOI: 10.1016/j.trc.2019.07.026
|View full text |Cite
|
Sign up to set email alerts
|

Effects of on-demand ridesourcing on vehicle ownership, fuel consumption, vehicle miles traveled, and emissions per capita in U.S. States

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

5
29
0
1

Year Published

2020
2020
2024
2024

Publication Types

Select...
7
2

Relationship

1
8

Authors

Journals

citations
Cited by 86 publications
(35 citation statements)
references
References 14 publications
5
29
0
1
Order By: Relevance
“…The estimated average effect on registrations is also robust to a battery of robustness checks and sensitivity analyses ( Table S9 ), including randomized treatment ( Figure S7 ), leave-one-out analysis ( Figures S8 and S9 ), leave-multiple-out analysis ( Figure S10 ), alternative treatment encoding ( Table S12 ), disaggregation of transit ridership data ( Table S13 ), and an event study ( Figure S6 ). When data are aggregated to the state level of resolution, rather than the urban area level, estimated average effects are negative ( Table S11 ), consistent with a study by Ward et al. (2019) using state-level data.…”
Section: Resultssupporting
confidence: 78%
See 1 more Smart Citation
“…The estimated average effect on registrations is also robust to a battery of robustness checks and sensitivity analyses ( Table S9 ), including randomized treatment ( Figure S7 ), leave-one-out analysis ( Figures S8 and S9 ), leave-multiple-out analysis ( Figure S10 ), alternative treatment encoding ( Table S12 ), disaggregation of transit ridership data ( Table S13 ), and an event study ( Figure S6 ). When data are aggregated to the state level of resolution, rather than the urban area level, estimated average effects are negative ( Table S11 ), consistent with a study by Ward et al. (2019) using state-level data.…”
Section: Resultssupporting
confidence: 78%
“…The few published articles that do examine TNC impacts on energy and the environment are constrained to survey methods or limited geographies, and, when taken together, reach inferences and conclusions that initially may appear inconsistent with one another. Previous analyses of TNC effects on vehicle ownership, for example, have found either a decrease in vehicle ownership ( Ward et al., 2019 ) or that “ridesourcing probably did not influence car ownership behavior” ( Rayle et al., 2016 ). Considered with appropriate context and constraints, these findings are not necessarily inconsistent (the decline in vehicle ownership was modeled at the U.S. state level, while the no-effect finding was based on a survey specific to San Francisco, CA), but their differences point to the need for a coherent framework within which to interpret such findings and their associated implications.…”
Section: Introductionmentioning
confidence: 99%
“…In addition, Tesla has recently announced that it will soon stop selling cars to private owners, and use them for its own -comparatively more profitable -robotaxis fleet instead. 1 This is in line with the widespread prediction that consumers' investment into private cars is bound to shrink and that urban traffic will be organized around fleets (Fagnant andKockelman, 2015, andWard et al, 2019).…”
Section: Introductionsupporting
confidence: 57%
“…Although questionnaire-based work reports a modest 'intention' by the users of these services to give up their cars or delay car purchases (Rayle et al 2016), few studies investigate the effects of e-hailing services on private vehicle ownership using actual vehicle registration data. In this regard, Ward et al (2019) found that the ownership of private vehicles has reduced since the introduction of these services in the US, while Schaller (2019) suggest the opposite in the largest cities in the US. Our own ongoing work shows that the number of private hire vehicles (PHVs) in the UK may have increased since the entry of Uber in this market, but the effect on the number of private vehicles is still unknown.…”
mentioning
confidence: 99%