EURO Journal on Transportation and Logistics

Scope & Guideline

Driving excellence in transportation and logistics research.

Introduction

Welcome to the EURO Journal on Transportation and Logistics information hub, where our guidelines provide a wealth of knowledge about the journal’s focus and academic contributions. This page includes an extensive look at the aims and scope of EURO Journal on Transportation and Logistics, highlighting trending and emerging areas of study. We also examine declining topics to offer insight into academic interest shifts. Our curated list of highly cited topics and recent publications is part of our effort to guide scholars, using these guidelines to stay ahead in their research endeavors.
LanguageEnglish
ISSN2192-4376
PublisherELSEVIER
Support Open AccessNo
CountryNetherlands
TypeJournal
Convergefrom 2013 to 2024
AbbreviationEURO J TRANSP LOGIST / EURO J. Transp. Logist.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS

Aims and Scopes

The EURO Journal on Transportation and Logistics focuses on advancing the field of transportation and logistics through innovative research methodologies and comprehensive analyses. The journal aims to address both theoretical and practical challenges in transportation systems and logistics management, promoting interdisciplinary approaches that integrate various aspects of operations research, optimization, and data analytics.
  1. Transportation Optimization:
    Research in this area emphasizes the development of models and algorithms to optimize transportation networks, including vehicle routing, scheduling, and fleet management.
  2. Logistics Management:
    This encompasses strategies and systems for efficient logistics operations, including supply chain management, last-mile delivery, and inventory control.
  3. Innovative Technologies in Transportation:
    Exploration of new technologies such as autonomous vehicles, drones, and smart transportation systems, focusing on their integration into existing logistics frameworks.
  4. Data-Driven Decision Making:
    Utilizing data analytics and machine learning techniques to enhance decision-making processes in transportation and logistics, improving efficiency and responsiveness.
  5. Sustainability and Environmental Impact:
    Addressing the environmental aspects of transportation and logistics, including the optimization of electric vehicles and the reduction of carbon footprints.
  6. Human Factors in Logistics Systems:
    Research focused on the role of human interaction within logistics and transportation systems, enhancing user experience and operational effectiveness.
The landscape of transportation and logistics research is evolving, with new themes emerging that reflect contemporary challenges and innovations in the field. The following areas have shown significant growth in publication frequency and interest.
  1. Autonomous and Smart Mobility Solutions:
    Research focusing on the implications of self-driving vehicles, autonomous delivery systems, and smart mobility solutions is on the rise, reflecting the industry's shift towards automation and technology-driven advancements.
  2. Sustainable Transportation Practices:
    Emerging themes include sustainability in logistics, such as electric vehicle routing and carbon footprint reduction strategies, highlighting the increasing importance of environmental considerations in transportation planning.
  3. Data-Driven Logistics and Analytics:
    There is a growing trend towards utilizing big data and analytics in logistics decision-making processes, with an emphasis on data-driven optimization techniques for enhancing operational efficiency.
  4. Urban Mobility and Last-Mile Delivery Innovations:
    Research on urban mobility solutions and innovative last-mile delivery methods is trending, particularly in the context of increasing urbanization and e-commerce demands.
  5. Integration of Human Factors in Transportation Systems:
    The integration of human factors into logistics and transportation systems is gaining traction, focusing on improving user experiences and operational efficiencies through human-aware models.

Declining or Waning

While the journal has consistently focused on several core themes, certain areas have seen a decline in prominence or frequency of publication. This may reflect shifting research priorities or the maturation of specific topics within the field.
  1. Traditional Transportation Models:
    There has been a noticeable decline in papers focused solely on conventional transportation models that do not incorporate modern technologies or methodologies, indicating a shift towards more innovative and integrated approaches.
  2. Static Logistics Optimization Problems:
    Research on static optimization problems that do not account for dynamic factors such as real-time data or stochastic elements is becoming less frequent, suggesting a move towards more complex and realistic modeling.
  3. Generalized Vehicle Routing Problems without Specific Applications:
    Publications that discuss generalized vehicle routing problems without linking them to specific applications or case studies are diminishing, as there is a growing emphasis on practical implications and real-world applications.

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