Does the Sharing Economy Technology Disrupt Incumbents? Exploring the Influences of Mobile Digital Freight Matching Platforms on Road Freight Logistics Firms

2021 ◽  
Author(s):  
Xiang Wan ◽  
Zenan Zhou
Keyword(s):  
Sharing Economy ◽  
Freight Logistics ◽  
Road Freight

scholarly journals Reviewing Truck Logistics: Solutions for Achieving Low Emission Road Freight Transport

2020 ◽  
Vol 12 (17) ◽  
pp. 6714 ◽  
Author(s):  
Tommi Inkinen ◽  
Esa Hämäläinen
Keyword(s):  
Review Paper ◽  
The European Union ◽  
Academic Literature ◽  
Emission Efficiency ◽  
Freight Logistics ◽  
Viable Solution ◽  
Low Emission ◽  
Multimodal Transport ◽  
Road Freight ◽  
Environmentally Sound

Low emission logistics have become an expected and desired goal in all fields of transportation, particularly in the European Union. Heavy-duty trucks (HDTs) are significant producers of emissions and pollution in inland transports. Their role is significant, as in multimodal transport chains truck transportation is, in most cases, the only viable solution to connect hinterlands with ports. Diesel engines are the main power source of trucks and their emission efficiency is the key challenge in environmentally sound freight transportation. This review paper addresses the academic literature focusing on truck emissions. The paper relies on the preliminary hypothesis that simple single solutions are nonexistent and that there will be a collection of suggestions and solutions for improving the emission efficiency in trucks. The paper focuses on the technical properties, emission types, and fuel solutions used in freight logistics. Truck manufacturing, maintenance, and other indirect emissions like construction of road infrastructure have been excluded from this review.

scholarly journals A Study in Options to Improve Aerodynamic Profile of Heavy-Duty Vehicles in Europe

2019 ◽  
Vol 11 (19) ◽  
pp. 5519
Author(s):  
Adithya Hariram ◽  
Thorsten Koch ◽  
Björn Mårdberg ◽  
Jan Kyncl
Keyword(s):  
Fuel Consumption ◽  
Comparative Studies ◽  
Aerodynamic Drag ◽  
Heavy Duty ◽  
Cfd Simulations ◽  
Logistics Networks ◽  
Freight Logistics ◽  
Road Freight ◽  
Heavy Duty Vehicles

In this paper, we present and discuss different aerodynamic solutions available for European tractor and semi-trailers configurations along with summarizing their impact on the aerodynamic drag that contributes to the reduction of fuel consumption. Combinations of different aerodynamic solutions have been presented, and conclusions have been drawn from comparative studies and experience of the participating partners of Project TRANSFORMERS, but no CFD simulations have been done for the same solutions. The paper concludes by proposing configurations of aerodynamic measures for various configurations and how they can be cost-effectively adapted to improve the efficiency in road freight logistics networks and reduce emission.

INNOVATIVE ROAD FREIGHT LOGISTICS

2011 ◽  
Vol 13 (4) ◽  
pp. 42-52
Author(s):  
ANDREI ANGHELUTA ◽  
ADRIAN UNGUREANU
Keyword(s):  
Freight Logistics ◽  
Road Freight

scholarly journals South Africa’s rising logistics costs: An uncertain future

2014 ◽  
Vol 8 (1) ◽  
Author(s):  
Jan H. Havenga ◽  
Zane P. Simpson ◽  
Anneke De Bod ◽  
Nadia M. Viljoen
Keyword(s):  
Policy Instruments ◽  
Freight Transport ◽  
Cost Driver ◽  
Demand Model ◽  
Logistics System ◽  
The Road ◽  
Freight Logistics ◽  
Road Freight ◽  
Uncertain Future ◽  
The Cost

A country’s competitiveness can be severely hampered by an uncompetitive freight logistics system. During the first decade of the 21st century, two in-depth models were developed for South Africa which provide a framework for measuring and improving the country’s freight logistics system – the cost of logistics survey and the freight demand model. These models also allow for the development of scenarios for key identified risks. The objectives of this study were to provide an overview of South Africa’s surface freight transport industry,identify key risks to national competitiveness and suggest ways in which these risks could be mitigated. Freight flows were modelled by disaggregating the national input–output model into 372 origin–destination pairs and 71 commodity groups, followed by distance decay gravity-modelling. Logistics costs were calculated by relating commodity-level freight flows to the costs of fulfilling associated logistical functions. South Africa’s economy is highly transport intensive. Excessive dependence on road freight transport exacerbates this situation. Furthermore, the road freight transport’s key cost driver is fuel, driven in turn by the oil price. Scenario analysis indicated the risk posed by this rising and volatile input and should provide impetus for policy instruments to reduce transport intensity. As such, this study concluded that a reduction in freight transport intensity is required to reduce exposure to volatile international oil prices.

Sharing Economy Questionnaire

2019 ◽  
Author(s):  
Hanna Lee ◽  
Sung-Byung Yang ◽  
Chulmo Koob
Keyword(s):  
Sharing Economy

A Digital Economy Model for Talent Prediction Data Analytic

2019 ◽  
Vol 2 (4) ◽  
pp. 260-266
Author(s):  
Haru Purnomo Ipung ◽  
Amin Soetomo
Keyword(s):  
Business Model ◽  
Industrial Revolution ◽  
Technology Innovation ◽  
Cost Effective ◽  
Sharing Economy ◽  
Token Economy ◽  
Economy Model ◽  
New Business ◽  
The Cost ◽  
Data Analytic

This research proposed a model to assist the design of the associated data architecture and data analytic to support talent forecast in the current accelerating changes in economy, industry and business change due to the accelerating pace of technological change. The emerging and re-emerging economy model were available, such as Industrial revolution 4.0, platform economy, sharing economy and token economy. Those were driven by new business model and technology innovation. An increase capability of technology to automate more jobs will cause a shift in talent pool and workforce. New business model emerge as the availabilityand the cost effective emerging technology, and as a result of emerging or re-emerging economic models. Both, new business model and technology innovation, create new jobs and works that have not been existed decades ago. The future workers will be faced by jobs that may not exist today. A dynamics model of inter-correlation of economy, industry, business model and talent forecast were proposed. A collection of literature review were conducted to initially validate the model.

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