Characterizing the GHG emission impacts of carsharing
A case of Vancouver
Bibliographic Data
| ID | 15544127 |
|---|---|
| Authors | Michiko Namazu (0000-0003-2311-2681, University of British Columbia, corresponding author), Hadi Dowlatabadi (0000-0001-8522-748X, University of British Columbia) |
| Year | 2015 |
| Volume | 10 |
| Issue | 12 |
| Pages | 124017-124017 |
| Publication date | 2015-12-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environmental Research Letters (JOURNAL) |
| Journal identifiers | ISSN: 1748-9326 • E-ISSN: 1748-9326 |
| Publisher | IOP Publishing (PUBLISHER • GB) |
| DOI | 10.1088/1748-9326/10/12/124017 |
| OpenAlex | W2254408903 |
| Language | EN |
| Citations received | 6 |
| References cited | 15 |
Carsharing exemplifies a growing trend towards service provision displacing ownership of capital goods. We developed a model to quantify the impact of carsharing on greenhouse gas (GHG) emissions. The study took into account different types of households and their trip characteristics. The analysis considers five factors by which carsharing can impact GHG emissions: transportation mode change, fleet vintage, vehicle optimization, more efficient drive trains within each vehicle type, and trip aggregation. Access to carsharing has already been shown to lead some users to relinquish ownership of their personal vehicle. We find that even without a reduction in vehicle-kilometers traveled the change in characteristics of the vehicles used in carsharing fleets can reduce GHGs by more than 30%. Shifting some trips to public transit provides a further 10%–20% reduction in GHGs
Business · Car sharing · Economics · Environmental economics · Geography · Greenhouse gas · Public transport · Service (business · Train · Transport engineering · TRIPS architecture · Engineering · Sharing Economy and Platforms · Transportation and Mobility Innovations · Urban Transport and Accessibility · Marketing
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Who is more attached to their car? Comparing automobility engagement and response to shared, automated and electric mobility in Canada and Germany
A Contrastive Study on Travel Costs of Car-Sharing and Taxis Based on GPS Trajectory Data
Factors Influencing University Students’ Behavioral Intention to Use Electric Car-Sharing Services in Guangzhou, China
Align, adapt or amplify
| Unique citing works | 6 |
|---|---|
| Citations per year | 0,86 |
| Citation span | 2019 - 2026 (8) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 6 |