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Sustainability
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Smart Transport Based on Sustainable Transport Development
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Smart Transport Based on Sustainable Transport Development

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

Deadline for manuscript submissions: 6 July 2025 | Viewed by 2217

Special Issue Editors

Prof. Dr. Bin Ji

E-Mail Website
Guest Editor
School of Traffic and Transportation Engineering, Central South University, Changsha 410075, China
Interests: serial-lock scheduling problem; berth allocation; vehicle routing problem; multi-objective optimization; machine learning
Special Issues, Collections and Topics in MDPI journals
Dr. Shuanglin Li

E-Mail Website
Guest Editor
School of Traffic & Transportation Engineering, Central South University, Changsha 410075, China
Interests: emergency logistics; logistics optimization; port operations; multi-modal transportation; vehicle routing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Global transportation is evolving, steered by the rapid strides in technology and sustainability. As we aim to minimize our reliance on traditional energy sources, the relationship between technology and sustainable transport is coming to the forefront of academic and international discussions. Therefore, the need to study this area in depth is becoming increasingly crucial.

Smart transport, where artificial intelligence, the Internet of Things, and machine learning merge, has the potential to transform efficiency, accessibility, and safety across all types of transport—from railways and roads to sea and river transport and even city commuting. These emerging technologies promise not just to elevate convenience levels in our daily commute but also to help us embark on a journey toward greener and more sustainable transport systems as we strive to combat climate change on a global scale. With this Special Issue, our intent is to amplify the conversation on the ongoing transformation in the transportation landscape. It reflects our journal’s commitment to promoting both sustainable and intelligent transport systems. We aim to foster an exchange of cutting-edge ideas and approaches amongst researchers, practitioners, industry leaders, and policy-makers to collectively build a comprehensive understanding of the future of our transportation systems.

We encourage contributions covering a diverse array of themes encapsulating smart transport and sustainability. Original research and reviews, particularly those delving into the application and implications of smart transport strategies across different modes of transportation and contributions exploring their role in sustainable development, are especially desired. The suggested themes for this Special Issue include, but are not limited to:

  • Exploitation of AI and IoT across different transport modes such as railways, roadways, maritime, inland waterways, and urban mobility.
  • Methods to enhance sustainability and efficiency across transport networks.
  • Application of groundbreaking technologies and concepts that revolutionize mobility.
  • Comparative studies reflecting successful implementations of smart transportation.
  • The influence of regulations and policies in advancing smart transportation.
  • Socio-economic and environmental ramifications of smart transport solutions.
  • Potential opportunities and foreseeable challenges in the realm of smart and sustainable transport.

Your contributions will add considerable depth and diversity to the dialogue on the interplay of advanced technologies, smart transport solutions, and sustainable developments. We eagerly anticipate your submissions and look forward to fostering a collective understanding that can guide the future path of global transport.

We look forward to receiving your contributions.

Prof. Dr. Bin Ji
Dr. Shuanglin Li
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 submissions that pass pre-check are 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 2400 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

  • smart transport
  • sustainable transportation
  • green transport technologies
  • intelligent transport systems
  • green logistics
  • connected and autonomous vehicles

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

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Research

29 pages, 3528 KiB  
Article
A Variable Neighborhood Search Algorithm for the Integrated Berth Allocation and Quay Crane Assignment Problem
by Xiafei Xie, Bin Ji and Samson S. Yu
Sustainability 2025, 17(9), 4022; https://doi.org/10.3390/su17094022 - 29 Apr 2025
Viewed by 196
Abstract
To improve the utilization of port resources and reduce the consumption of resources due to vessel waiting and delays, this paper investigates the Berth Allocation and Quay Crane Assignment Problem (BACAP) in container ports, focusing on the Quay Crane (QC) profile. The objective [...] Read more.
To improve the utilization of port resources and reduce the consumption of resources due to vessel waiting and delays, this paper investigates the Berth Allocation and Quay Crane Assignment Problem (BACAP) in container ports, focusing on the Quay Crane (QC) profile. The objective is to assign berths, berthing times, and QC profiles to vessels arriving at the port within a given planning horizon, thereby extending the traditional BACAP framework. To minimize the sum of idle time costs caused by vessel waiting and delay time costs due to late vessel departures, a mixed-integer linear programming (MILP) model is proposed. Additionally, a variable neighborhood search (VNS) algorithm is designed to solve the model, tailored to the specific characteristics of the problem. The proposed MILP model and VNS algorithm are evaluated using two sets of BACAP instances. The numerical results demonstrate the effectiveness of both the model and the algorithm, showing that VNS efficiently and reliably solves instances of various sizes. Furthermore, each neighborhood structure contributes uniquely to the iterative process. This study also analyzes the impact of different idle and delay costs on BACAP, providing valuable managerial insights. The proposed framework contributes to enhancing operational efficiency and supports sustainable port management. Full article
(This article belongs to the Special Issue Smart Transport Based on Sustainable Transport Development)
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19 pages, 1702 KiB  
Article
What Makes the Route More Traveled? Optimizing U.S. Suburban Microtransit for Sustainable Mobility
by Alexandra Q. Pan and Susan Shaheen
Sustainability 2025, 17(3), 952; https://doi.org/10.3390/su17030952 - 24 Jan 2025
Viewed by 1666
Abstract
Microtransit services that provide pooled on-demand transportation with dynamic routing have been used in low-density areas since the 1970s, but improvements to routing technology have led to a resurgence of interest in the past decade. Questions remain about the effectiveness of microtransit to [...] Read more.
Microtransit services that provide pooled on-demand transportation with dynamic routing have been used in low-density areas since the 1970s, but improvements to routing technology have led to a resurgence of interest in the past decade. Questions remain about the effectiveness of microtransit to serve riders in low-density, car-dependent suburban areas. Better understanding of the factors underlying microtransit ridership can improve usage of these services and shift travelers to more sustainable modes in suburban areas. We compile a database of suburban microtransit programs from 32 public transit agencies in the U.S. to study internal factors (e.g., operating hours, service area) and external factors (e.g., population density, vehicle ownership) impacting ridership using a random effects model. We find that internal agency factors have a greater effect on microtransit ridership than external factors. The most impactful factor is operating a point deviation service, where vehicles have scheduled stops at one or more checkpoints within the service area (e.g., transit center or shopping center), rather than zone-based services, where vehicles pick up and drop off passengers at any time within a service area. There is high potential to convert some zone-based services to point deviation services; 52% of zone-based service areas contain a transit center that could be used as a checkpoint. For the remaining zone-based service areas, maximizing ridership may not be feasible, and using ridership as an evaluation metric can be misleading. Instead, metrics that capture the accessibility, safety, or customer satisfaction impacts of microtransit may be more appropriate for these services. Full article
(This article belongs to the Special Issue Smart Transport Based on Sustainable Transport Development)
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