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Found 43 results for '"Shared Fleets"', showing 21-30
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  1. Long He & Guangrui Ma & Wei Qi & Xin Wang & Shuaikun Hou & Panos M. Pardalos & Stamatina Th. Rassia & Arsenios Tsokas (2022): Planning and Management of Charging Facilities for Electric Vehicle Sharing
    Electric vehicle (EV) sharing has experienced rapid development and has served as a flexible and environmental friendly means for urban transportation. However, charging an EV sharing fleet is still a challenge for business operators because of limited or costly access to charging facilities. In this chapter, we focus on how to charge a fleet to make EV sharing viable and profitable.
    RePEc:spr:spochp:978-3-030-84459-2_8  Save to MyIDEAS
  2. Habla, Wolfgang & Huwe, Vera & Kesternich, Martin (2020): Beyond monetary barriers to electric vehicle adoption: Evidence from observed usage of private and shared cars
    We use car-level micro data to provide empirical evidence on the usage of conventional and electric vehicles (EVs) in private and car sharing fleets in Germany. We shed light on both monetary and non-monetary barriers to EV adoption and usage by exploiting the feature that variable costs are identical for shared vehicles but different for private car owners across engine types. ... We also document that car sharing intensifies the usage of conventional cars but not that of EVs.
    RePEc:zbw:zewdip:20026  Save to MyIDEAS
  3. Dütschke, Elisabeth & Schneider, Uta & Peters, Anja (2013): Who will use electric vehicles?
    Two usage scenarios are analyzed: (1) the traditional model of car use where the EV is bought or leased by the household whose members drive the vehicle (individual usage), and (2) concepts where EVs are used as part of shared fleets (collective usage).
    RePEc:zbw:fisisi:s62013  Save to MyIDEAS
  4. S. R. Milyakin & N. D. Skubachevskaya (2024): Prospects of Car Sharing in Moscow: Analysis and Forecast through Social Practice Theory
    This study analyzes the current state of car-sharing in Moscow. ... The role of the importance of the car-sharing practice to its spreading is evaluated. A population pyramid analysis is made to evaluate the potential of expanding the car-sharing practice. ... Two scenarios of car-sharing prospects in Moscow are considered within the framework of which the passenger traffic of car-sharing and other modes of transport, required car-sharing fleet size, and car-sharing usage frequency are forecast. It is concluded that, by 2045, the demand for car-sharing in Moscow can rise by at least 150% by 2045.
    RePEc:spr:sorede:v:35:y:2024:i:4:d:10.1134_s1075700724700126  Save to MyIDEAS
  5. Wolfgang Habla & Vera Huwe & Martin Kesternich (2020): Beyond Monetary Barriers to Electric Vehicle Adption: Evidence from Observed Usage of Private and Shared Cars
    We use car-level micro data to provide empirical evidence on the usage of conventional and electric vehicles (EVs) in private and car sharing fleets in Germany. We shed light on both monetary and non-monetary barriers to EV adoption and usage by exploiting the feature that variable costs are identical for shared vehicles but different for private car owners across engine types. ... We also document that car sharing intensifies the usage of conventional cars but not that of EVs.
    RePEc:mar:magkse:202028  Save to MyIDEAS
  6. Bösch, Patrick M. & Becker, Felix & Becker, Henrik & Axhausen, Kay W. (2018): Cost-based analysis of autonomous mobility services
    Wherever substantial bundling is not possible, shared and pooled vehicles serve travel demand more efficiently. Yet, in contrast to current wisdom, shared fleets may not be the most efficient alternative. ... Moreover, the results suggest that a substantial share of vehicles may remain in private possession and use due to their low variable costs.
    RePEc:eee:trapol:v:64:y:2018:i:c:p:76-91  Save to MyIDEAS
  7. Fukushige, Tatsuya & Fitch, Dillon T. & Handy, Susan (2022): Can an Incentive-Based approach to rebalancing a Dock-less Bike-share system Work?
    Bike-share services will produce more limited benefits if users cannot find bikes when and where they need them. Bike-share operators must thus have process for “rebalancing” the bikes within the system to ensure that they are available where demanded. ... We use data from a survey of dock-less e-bike-share users conducted in the Sacramento region. The analysis shows that half of the respondents use bike-share if the available bike is located 8.9 min away. ... Our results give operators and policy makers insights into the potential effectiveness of incentives as a strategy for spatially rebalancing bike-share fleets.
    RePEc:eee:transa:v:163:y:2022:i:c:p:181-194  Save to MyIDEAS
  8. Patrice Geoffron (2017): Smart cities and smart mobilities
    The issue of transportation crosses over all aspects of smart cities, whether in terms of urban design and social organization (more compact towns and distance work to reduce flows), or organizing new ways to manage vehicle capacities and infrastructure (shared fleets, car sharing, urban charging, road lane management), combined with the mid- or long-term dissemination of incremental innovations (electric vehicles) or disruptive innovations (autonomous vehicles).
    RePEc:hal:journl:hal-02895082  Save to MyIDEAS
  9. Ana María Arbeláez Vélez & Andrius Plepys (2021): Car Sharing as a Strategy to Address GHG Emissions in the Transport System: Evaluation of Effects of Car Sharing in Amsterdam
    Shared mobility options, such as car sharing, are often claimed to be more sustainable, although evidence at an individual or city level may contradict these claims. This study aims to improve understanding of the effects of car sharing on transport-related emissions at an individual and city level. This is done by quantifying the greenhouse gas (GHG) emissions of the travel habits of individuals before and after engaging with car sharing. The analysis uses a well-to-wheel (WTW) approach, including both business-to-consumer (B2C) and peer-to-peer (P2P) car-sharing fleets. Changes in GHG emissions after engaging in car sharing vary among individuals.
    RePEc:gam:jsusta:v:13:y:2021:i:4:p:2418-:d:504674  Save to MyIDEAS
  10. Susan Shaheen & Adam Cohen (2019): Shared ride services in North America: definitions, impacts, and the future of pooling
    Shared ride services allow riders to share a ride to a common destination. ... In recent years, growth of Internet-enabled wireless technologies, global satellite systems, and cloud computing - coupled with data sharing – are causing people to increase their use of mobile applications to share a ride. ... This paper reviews common shared ride service models, definitions, and summarises existing North American impact studies. Additionally, we explore the convergence of shared mobility; electrification; and automation, including the potential impacts of shared automated vehicle (SAV) systems. ... The impacts of SAVs will likely depend on the number of personally owned automated vehicles; types of sharing (concurrent or sequential); and the future modal split among public transit, shared fleets, and pooled rides.
    RePEc:taf:transr:v:39:y:2019:i:4:p:427-442  Save to MyIDEAS
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