Special Issue "Smart and Sustainable Multimodal Transportation"

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Transportation".

Deadline for manuscript submissions: 31 December 2021.

Special Issue Editors

Prof. Dr. Gangyan Xu
E-Mail Website
Guest Editor
School of Architecture, Harbin Institute of Technology, Shenzhen, 518055, China
Interests: intelligent transportation management and control; emergency management; complex system analysis, optimization, and control; reinforcement learning for combinatorial optimization
Prof. Dr. Kum Fai Yuen
E-Mail Website
Guest Editor
School of Civil and Environmental Engineering, Nanyang Technological University, Singapore 639798, Singapore
Interests: technology and innovation management; health behaviour and management; consumer psychology and behaviour; maritime transport
Special Issues and Collections in MDPI journals
Prof. Dr. Xuan Qiu
E-Mail Website
Guest Editor
Department of Industrial Engineering and Decision Analytics, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong
Interests: multimodal transportation system; green and smart logistics; system modeling and optimization; data analytics in operations management

Special Issue Information

Dear Colleagues,

Multimodal transportation provides an efficient, flexible, economic, and resilient platform for both freight and passenger transportation. It could support sustainability by making efficient use of resources, improving transport structure, and enabling environmentally friendly transport choices. With the continuous growth of transport/travel demands and the need for sustainable development, multimodal transportation has attracted increasing attention from academic, industrial, and political communities. Tremendous research has been dedicated to establish, manage, and optimize the multimodal transportation system in the past few decades with rich outcomes in both theory and practices.

Recently, the emergence of novel technologies in big data, artificial intelligence, automation, and Internet of Things (IoT), as well as the advances of green technologies (e.g., electric vehicle), have created many promising opportunities for multimodal transportation from strategic, tactical, and operational perspectives. Leveraging these emerging technologies can lead to significant savings in operational costs and carbon emission, as well as boosts in transport efficiency. Nevertheless, these technologies also generate a new set of challenges and research questions from various dimensions of multimodal transportation. Substantial efforts are still needed to develop analytical models, intelligent approaches, and novel applications to further improve the practices of multimodal transportation.

The purposes of this Special Issue are to publish state-of-the-art research on technologies, operations management, policies, and applications for sustainable multimodal transportation. Topics include (but are not limited to) the following:

  • Data analytics for multimodal transportation
  • Network analysis, design, and optimization
  • Policies and practices for sustainable multimodal transportation
  • Risk analysis of multimodal transportation system
  • Operations management in multimodal transportation
  • Modeling and optimization for sustainability
  • Intelligent transportation systems and applications
  • Mobility as a service

Prof. Dr. Gangyan Xu
Prof. Dr. Kum Fai Yuen
Prof. Dr. Xuan Qiu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Multimodal transport
  • Intelligent transportation systems
  • Green logistics
  • Decision analytics
  • Mobility as a service

Published Papers (1 paper)

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Research

Article
Cost and Scenario Analysis of Intermodal Transportation Routes from Korea to the USA: After the Panama Canal Expansion
Sustainability 2020, 12(16), 6341; https://doi.org/10.3390/su12166341 - 06 Aug 2020
Cited by 1 | Viewed by 918
Abstract
This study is aimed at suggesting the most economical transportation route by comparing seven different Korea–US intermodal transportation routes for automotive parts exported to Southeastern USA. To keep up with the global competition of parts makers, which are expanding their markets based on [...] Read more.
This study is aimed at suggesting the most economical transportation route by comparing seven different Korea–US intermodal transportation routes for automotive parts exported to Southeastern USA. To keep up with the global competition of parts makers, which are expanding their markets based on advanced technology and enormous capital, Korean automotive parts makers also need to actively advance their markets overseas. From this point of view, selecting an efficient transport route and transportation modes for overseas export is essential. To this end, the most efficient transportation route from the perspective of total logistics cost was selected by adapting the inventory-theoretic model, using information such as the logistics status of a specific company and the logistics freight rates and transit time for the third quarter of 2019. Thus, the scenario analysis was conducted assuming that variables—namely transportation cost per unit, commodity value, inventory cost and additional conditions such as terminal free time—were modified. Through this study, the optimal transportation route was selected by fully considering and predicting the total logistics cost component and the variability of the major factors. Full article
(This article belongs to the Special Issue Smart and Sustainable Multimodal Transportation)
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