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Found 43 results for '"Shared Fleets"', showing 1-10
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  1. Ismail Aydemir & Fraser McLeod & Matt Grote & Tom Cherrett (2023): Evaluating the Feasibility of a Shared-Fleet Operation in Healthcare Logistics between Public Organisations
    Shared-fleet logistics involves collaboration between two or more companies to combine workloads and vehicle capacity to improve vehicle utilisation and transport efficiency and to reduce costs. This study considers the potential environmental and economic benefits of implementing a shared-fleet collaboration between two public organisations: a local government authority and a National Health Service (NHS) Trust. The research focuses on a specific case study using a historical dataset of vehicle movements, wherein the local authority’s fleet of electric courier vehicles is shared with the NHS Trust for transporting pathology samples from 78 doctors’ surgeries to a laboratory for analysis, thereby replacing the reliance on a third-party logistics provider. ... These results emphasise the considerable potential of shared-fleet operations to alleviate both environmental and economic problems in urban logistics, encouraging public sector organisations to actively pursue the implementation of collaborative solutions to enhance the efficiency of their own-account vehicles while making positive contributions to environmental sustainability.
    RePEc:gam:jsusta:v:15:y:2023:i:21:p:15361-:d:1268814  Save to MyIDEAS
  2. Lucas Schubert & Katharina Trapp & Anthony B. Wandt & Kenan Degirmenci & Thomas M Cerbe & Wolfgang E Pfau (2022): Business Model Change through Autonomous Shared Fleets for Transportation and Logistic Businesses
    New technological developments (alternative drive systems, autonomous driving) and changed framework conditions (economic, ecological, political-regulatory, social) have a massive impact on companies in all sectors. In particular, companies in the transport and logistics sector are exposed to a very dynamic and turbulent market environment. This sector is characterised by a number of special features which have a strong influence on the competitive environment. These include, for example, the single European market, strong market transparency and the acute and increasing shortage of mobile workers.The business model change in the transport and logistics sector has been taking place for some time now, using the example of road-bound transport vehicles as an example. This is a result from the increasing outsourcing activities of industry and trade as well as the increasing online trade and mail order business.
    RePEc:wsi:wschap:9781800611429_0007  Save to MyIDEAS
  3. Lutz Göcke & Philip Meier & Kenan Degirmenci & Thomas M Cerbe & Wolfgang E Pfau (2022): Business Model Development for Autonomous Electric Vehicles in Shared Fleets in Multinational Original Equipment Manufacturers (OEMs)
    This chapter addresses the two-fold challenge for multinational Original Equipment Manufacturers (OEMs) to develop/adapt business models to the disruptive technological developments associated with shared fleets of autonomous electric vehicles (SAEVs).
    RePEc:wsi:wschap:9781800611429_0006  Save to MyIDEAS
  4. Sophia von Berg & Martin Randelhoff & Kenan Degirmenci & Thomas M Cerbe & Wolfgang E Pfau (2022): The Role of Shared Fleets in Multimodal Mobility Solutions: Service Diversity, Infrastructure, and Customer Preferences
    In this chapter, the role of shared fleets in multimodal mobility solutions and the possibilities of electrification will be examined.
    RePEc:wsi:wschap:9781800611429_0003  Save to MyIDEAS
  5. Long He & Guangrui Ma & Wei Qi & Xin Wang (2021): Charging an Electric Vehicle-Sharing Fleet
    Problem definition : Many cities worldwide are embracing electric vehicle (EV) sharing as a flexible and sustainable means of urban transit. However, it remains challenging for the operators to charge the fleet because of limited or costly access to charging facilities. In this paper, we focus on answering the core question—how to charge the fleet to make EV sharing viable and profitable. ... We then propose both lower and upper bound formulations as mixed-integer second-order cone programs, which are computationally tractable and result in a small optimality gap when the fleet size is adequate. ... Finally, we discuss how EV sharing operations depend on the urban spatial structure, compared with conventional car sharing.
    RePEc:inm:ormsom:v:23:y:2021:i:2:p:471-487  Save to MyIDEAS
  6. Kenan Degirmenci & Thomas M Cerbe & Wolfgang E Pfau (2022): Electric Vehicles in Shared Fleets:Mobility Management, Business Models, and Decision Support Systems
    Electric Vehicles in Shared Fleets
    RePEc:wsi:wsbook:q0337  Save to MyIDEAS
  7. Francesco Lo Franco & Vincenzo Cirimele & Mattia Ricco & Vitor Monteiro & Joao L. Afonso & Gabriele Grandi (2022): Smart Charging for Electric Car-Sharing Fleets Based on Charging Duration Forecasting and Planning
    Electric car-sharing (ECS) is an increasingly popular service in many European cities. The management of an ECS fleet is more complex than its thermal engine counterpart due to the longer ”refueling“ time and the limited autonomy of the vehicles.
    RePEc:gam:jsusta:v:14:y:2022:i:19:p:12077-:d:923962  Save to MyIDEAS
  8. Joy Chang & Miao Yu & Siqian Shen & Ming Xu (2017): Location Design and Relocation of a Mixed Car-Sharing Fleet with a CO 2 Emission Constraint
    Car-sharing companies have shown increasing support in the adoption of fuel-efficient cars to reduce CO 2 emissions and to meet heterogeneous demand. In this paper, we consider location design and relocation problems for sharing a mixed fleet of cars and propose integer linear programs that incorporate both one-way and round-trip demand and operations. ... We conduct computational studies based on 2014 Zipcar data in Boston to provide insights for fleet location, car-type designs, and their environmental impacts. ... Although the CO 2 emission limit may lower car-sharing profit, high demand on new energy-efficient cars can compensate the loss and is worth being satisfied.
    RePEc:inm:orserv:v:9:y:2017:i:3:p:205-218  Save to MyIDEAS
  9. Susan Shaheen & Emily Farrar & Kenan Degirmenci & Thomas M Cerbe & Wolfgang E Pfau (2022): Vehicle Electrification in Carsharing and Transportation Network Company (TNC) Fleets: Current and Future Trends
    This chapter focuses on two shared mobility modes — carsharing and transportation network companies (TNCs, also known as ridesourcing and ride-hailing) — and how they can incorporate electric vehicles (EVs) into their fleets. Shared mobility is the shared use of a vehicle, scooter, bicycle, or other travel mode; it provides users with short-term access to a travel mode on an as-needed basis. ... Shared fleets have the potential to reduce vehicle ownership and vehicle miles/kilometers traveled (VMT/VKT), while increasing access to transportation options; whether their fleets are electric or not will affect how shared mobility services impact greenhouse gas (GHG) emissions. ... Next, we address challenges and opportunities with privately operated electric fleets, as well as selected policies that seek to promote EVs in shared fleets. Finally, we apply this information to future scenarios, addressing how sharing, automation, and electrification trends align.
    RePEc:wsi:wschap:9781800611429_0001  Save to MyIDEAS
  10. Zhou, Tianli & Fields, Evan & Osorio, Carolina (2023): A data-driven discrete simulation-based optimization algorithm for car-sharing service design
    This paper formulates a discrete simulation-based optimization (SO) algorithm for a family of large-scale car-sharing service design problems. We focus on the profit-optimal assignment of vehicle fleet across a network of two-way (i.e., round-trip) car-sharing stations. ... The algorithm is then applied to a high-dimensional Boston case study using reservation data from a major US car-sharing operator. ... The solutions derived by the proposed method are benchmarked versus the solution deployed in the field by the car-sharing operator.
    RePEc:eee:transb:v:178:y:2023:i:c:s0191261523001431  Save to MyIDEAS
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