Special Issue "Urban Transport Network Modeling and Sustainable Maritime Transportation"

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

Deadline for manuscript submissions: 31 January 2022.

Special Issue Editors

Dr. Xinyuan Chen
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Guest Editor
Department of Logistics and Maritime Studies, Hong Kong Polytechnic University, Hung Hom, Hong Kong
Interests: urban transport network modeling; parallel computing in transport system analysis; big data analytics
Special Issues and Collections in MDPI journals
Dr. Wen Yi
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Guest Editor
School of Built Environment, Massey University, Auckland, Albany 0632, New Zealand
Interests: logistics and green transportation; prefab transportation system optimization; optimization in construction management; transportation network modeling
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Dr. Di Huang
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Guest Editor
Department of Logistics and Maritime Studies, Hong Kong Polytechnic University, Hung Hom, Hong Kong
Interests: public transit system; transportation network modeling; urban mobility modeling and optimization
Special Issues and Collections in MDPI journals
Prof. Shuaian Wang
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Guest Editor
Department of Logistics and Maritime Studies, The Hong Kong Polytechnic University, Hung Hom, Hong Kong
Interests: big data in shipping: data mining and analytics; maritime studies: routing, scheduling, and planning; urban transportation: operations, planning, and passenger behavior

Special Issue Information

Dear Colleagues,

We are calling for papers for a Special Issue of the journal Sustainability on research into the urban transport network modeling and sustainable maritime transportation. Urban and maritime transportation systems both include a wide range of activities. Appropriate modeling of these complex transportation systems and successful control of resources are the keys to developing a more efficient, sustainable, and environmentally friendly transportation operation/management system. The integration of sustainability concerns in urban transportation and maritime transportation management has been regarded as a fundamental component of sustainable development. However, the integration of sustainability is challenging due to the balancing between economic, environmental, and social considerations. Different stakeholders have varied insights on different sustainability dimensions. The rapid development of new technologies, such as blockchain, shared mobility, and automated driving, is providing great opportunities to refine or re-define the current methods, models, and tools to more efficiently and collaboratively utilize new resources and promote more sustainable urban and maritime transportation systems. The overall objective of this Special Issue is to collect original and innovative ideas focused on modeling and control methods for sustainable design and management of next-generation urban and maritime transport systems. Proposed papers for this Special Issue may cover a broad range of modeling, control, design, monitoring, management, economic/policy analysis, and optimization of emerging and novel transportation system applications with a focus on urban transportation network modeling and sustainable maritime transportation.

Dr. Xinyuan Chen
Dr. Wen Yi
Dr. Di Huang
Prof. Shuaian Wang
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

  • Transport network modeling
  • Sustainable urban and maritime transportation
  • ITS innovations
  • Connected and automated driving systems
  • Mobility as a service system
  • Shared mobility services
  • Traffic management and control
  • Blockchain-supported transportation systems
  • Multi-source transportation data mining
  • Machine learning and artificial intelligence for urban and maritime transportation
  • Data-driven optimization for operations management of urban and maritime transportation networks
  • Internet of Things technologies and applications in urban and maritime transportation networks
  • Large-scale high-performance/distributed computing in urban and maritime transportation networks

Published Papers (2 papers)

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Research

Article
Microscopic Traffic Simulation as a Decision Support System for Road Diet and Tactical Urbanism Strategies
Sustainability 2021, 13(14), 8076; https://doi.org/10.3390/su13148076 - 20 Jul 2021
Viewed by 471
Abstract
Urban street networks in the United States have been primarily designed for automobile traffic with negligible considerations to non-motorized transportation users. Due to environmental issues and quality of life concerns, communities are reclaiming street spaces for active modes and slowing the speeds in [...] Read more.
Urban street networks in the United States have been primarily designed for automobile traffic with negligible considerations to non-motorized transportation users. Due to environmental issues and quality of life concerns, communities are reclaiming street spaces for active modes and slowing the speeds in their downtown. Moreover, tactical urbanism, i.e., the use of street space for innovative purposes other than moving automobile traffic, is becoming attractive due to reduced automobile travel demand and the need for outdoor activities in the age of the COVID-19 pandemic. This study provides details of the modeling of an urban downtown network (in the City of San Jose) using microscopic traffic simulation. The model is then applied to evaluate the effectiveness of street design changes at varying demand scenarios. The microsimulation approach was chosen because it allows for the detailed modeling and visualization of the transportation networks, including movements of individual vehicles, bicyclists, and pedestrians. The street design change demonstrated here involves one-way to two-way street conversion, but the framework of network-wide impact evaluation may also be used for complete street conversions. The base conditions network was also tested under different travel demand reduction scenarios (10%, 20%, and 30%) to identify the corridors in the city network in which the tactical urbanism strategies (e.g., open-air dining) may be best accommodated. The study provides framework for the use of a microscopic model as part of a decision support system to evaluate and effectively implement complete streets/tactical urbanism strategies. Full article
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Article
Optimal Congestion Pricing with Day-to-Day Evolutionary Flow Dynamics: A Mean–Variance Optimization Approach
Sustainability 2021, 13(9), 4931; https://doi.org/10.3390/su13094931 - 28 Apr 2021
Cited by 2 | Viewed by 337
Abstract
This paper investigates the optimal congestion pricing problem that considers day-to-day evolutionary flow dynamics. Under the circumstance that traffic flows evolve from day to day and the system might be in a non-equilibrium state during a certain period of days after implementing (or [...] Read more.
This paper investigates the optimal congestion pricing problem that considers day-to-day evolutionary flow dynamics. Under the circumstance that traffic flows evolve from day to day and the system might be in a non-equilibrium state during a certain period of days after implementing (or adjusting) a congestion toll scheme, it is questionable to use an equilibrium-based index under steady state as the objective to measure the performance of a congestion toll scheme. To this end, this paper proposes a mean–variance-based congestion pricing scheme, which is a robust optimization model, to consider the evolution process of traffic flow dynamics in the optimal toll design problem. More specifically, in the mean–variance-based toll scheme, travelers aim to minimize the variance of expected total travel costs (ETTCs) on different days to reduce risk in daily travels, while the average ETTC over the whole planning period is restricted to being no larger than a predetermined target value set by the authorities. A metaheuristic approach based on the whale optimization algorithm is designed to solve the proposed mean–variance-based day-to-day dynamic congestion pricing problem. Finally, a numerical experiment is conducted to validate the effectiveness of the proposed model and solution algorithm. Results show that the used 9-node network can reach a steady state within 18 days after implementing the mean–variance-based congestion pricing, and the optimal toll scheme can be also obtained with this toll strategy. Full article
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