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Appraising the environmental benefits of ride-sharing: The Paris region case study
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“Car-pooling has long been a focus of efforts to reduce congestion and air pollution; in recent years, car-sharing and ride-sharing have emerged as alternatives that may increase the rate of vehicle utilization [133][134][135].”
From Material efficiency strategies to reducing greenhouse gas emissions associated with buildings, vehicles, and electronics—a review (2019) · cites this paper as [135]
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Metadata
- Authors
- Yin, B., Liu, L., Coulombel, N., & Viguié, V.
- Affiliations
- École nationale des ponts et chaussées (FR)
- Corresponding author
- Liu, Liu
- Venue
- Journal of Cleaner Production
- Publisher
- Elsevier BV
- Published
- 2018-03
- Volume
- 177
- Pages
- 888-898
- ISSN
- 0959-6526 (ISSN-L)
- OpenAlex
- W2779518181
- Semantic Scholar
- 6db543ccebd52ab57438ef075800cb7f0fc4f8d9
- Cited by
- 106
- References
- 46
- Citations by year
- 2026: 7 · 2025: 12 · 2024: 19 · 2023: 13 · 2022: 10 · 2021: 14 · 2020: 11 · 2019: 10 · 2018: 7
- FWCI
- 4.63
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Cleaner Production (publishedVersion)
- HAL (submittedVersion, other-oa)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- French National Research Agency (ANR-14-CE22-0013, ANR-14-ORAR-0005)
- Topics
- Social Sciences › Transportation › Transportation and Mobility Innovations
- Social Sciences › Transportation › Transportation Planning and Optimization
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Energy, Environment, and Transportation Policies
- Keywords
- ride-sharing, CO2 emissions, rebound effect, vehicle occupancy, mode switching, travel distance, residential mobility, land use and transportation integration, transport policy, Île-de-France, peak period travel
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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