2019
DOI: 10.1177/1783591719847543
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Towards rail-related multimodal freight exchange platforms: Exploring regulatory topics at EU level

Abstract: The use of online road freight transport exchanges (FTEs) in the EU-28 countries is widespread today, indicating a strong level of competition. Some exchanges attempt to distinguish themselves by developing new services, for example, warehousing services for logistics industries. In contrast, rail FTEs show a very low rate of success. Given the European Union policy goal on modal shift from road to rail and inland waterways for the next decade, there is a need to explore possibilities for improvement. This art… Show more

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Cited by 4 publications
(4 citation statements)
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“…e.g., in economic (e.g., cost savings, market access), social (e.g., reduction in traffic congestion, ensuring that suppliers follow fair working conditions) and environmental (e.g., reduced emissions) terms. Based on previous analyses [9], benefits can be maximized by using standardized products (e.g., commodities) to facilitate multiple interactions on the exchange, or organizing multimodality (e.g., for optimal use of transport assets).…”
Section: Definition Of Selection Criteria For Relevant Online Exchangesmentioning
confidence: 99%
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“…e.g., in economic (e.g., cost savings, market access), social (e.g., reduction in traffic congestion, ensuring that suppliers follow fair working conditions) and environmental (e.g., reduced emissions) terms. Based on previous analyses [9], benefits can be maximized by using standardized products (e.g., commodities) to facilitate multiple interactions on the exchange, or organizing multimodality (e.g., for optimal use of transport assets).…”
Section: Definition Of Selection Criteria For Relevant Online Exchangesmentioning
confidence: 99%
“…Further, different sources on benchmarks were explored for finding these exchanges e.g., market reports, reported case studies [27][28][29] and research databases (such as Crunchbase.com) on firms were consulted to cross check the data from the literature. Together with information collected in previous interviews [9], this enabled to apply a snowballing strategy to create a representative population for answering RQ1.…”
Section: Data Collectionmentioning
confidence: 99%
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