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Sustainability
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Urban Transport Network Modeling and Sustainable Maritime Transportation
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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: closed (28 February 2023) | Viewed by 16758

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, Collections and Topics 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
Special Issues, Collections and Topics in MDPI journals
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, Collections and Topics 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 Issues, Collections and Topics in MDPI journals

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 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

  • 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

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Published Papers (6 papers)

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Research

22 pages, 3857 KiB  
Article
Day-to-Day Dynamic Traffic Flow Assignment Model under Mixed Travel Modes Considering Customized Buses
by Yulin Chang, Yijie Wang, Chao Sun, Peng Zhang and Wenqian Xu
Sustainability 2023, 15(6), 5440; https://doi.org/10.3390/su15065440 - 20 Mar 2023
Cited by 1 | Viewed by 1812
Abstract
In recent years, customized buses (CBs), a new form of public travel mode between bus and car, has sprung up in China. Its characteristics include flexible routes, each person having a seat and point-to-point travel have attracted travelers who seek high-quality travel, especially [...] Read more.
In recent years, customized buses (CBs), a new form of public travel mode between bus and car, has sprung up in China. Its characteristics include flexible routes, each person having a seat and point-to-point travel have attracted travelers who seek high-quality travel, especially car travelers, alleviating traffic congestion at peak periods and leading to a change in urban travel modes. In addition to providing new travel modes, an exclusive bus lane (EBL) is also an effective means to alleviate traffic congestion. Therefore, this paper establishes link impedance functions under mixed travel modes considering the EBL, including customized buses on different kinds of links, and then presents a day-to-day dynamic traffic flow assignment model based on stochastic user equilibrium (SUE). Some conclusions were summarized by numerical case studies. First, the parameter of travelers’ sensitivity to route travel time affects the speed of traffic flow evolution. When it increases to positive infinity, the final state of the traffic network moves from SUE to deterministic user equilibrium (DUE). Second, the parameter on the degree of dependence of travelers on previous experience can not only influence the value size of actual travel time, but also influence the direction of actual travel time evolution. Third, conventional buses and customized buses have higher transportation efficiency than cars, but if the proportion of conventional bus travelers is too large, the total travel time of all travelers in the traffic network may increase. Fourth, when travel demands increase, the proportion of travelers who choose public transit is required to increase to achieve minimum total travel time. Lastly, from the perspective of the whole traffic network in any case, the EBL is not always beneficial. It is recommended to set EBLs when conventional buses and customized bus flows are heavy, which can be judged based on the model established in this paper. Full article
(This article belongs to the Special Issue Urban Transport Network Modeling and Sustainable Maritime Transportation)
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19 pages, 9158 KiB  
Article
Resilience Assessment of an Urban Metro Complex Network: A Case Study of the Zhengzhou Metro
by Qingjie Qi, Yangyang Meng, Xiaofei Zhao and Jianzhong Liu
Sustainability 2022, 14(18), 11555; https://doi.org/10.3390/su141811555 - 15 Sep 2022
Cited by 21 | Viewed by 2650
Abstract
An urban metro network is susceptible to becoming vulnerable and difficult to recover quickly in the face of an unexpected attack on account of the system’s complexity and the threat of various emergencies. Therefore, it is necessary to assess the resilience of urban [...] Read more.
An urban metro network is susceptible to becoming vulnerable and difficult to recover quickly in the face of an unexpected attack on account of the system’s complexity and the threat of various emergencies. Therefore, it is necessary to assess the resilience of urban metro networks. However, the research on resilience assessment of urban metro networks is still in the development stage, and it is better to conduct said research using a technique which combines many attributes, multiple methods, and several cases. Therefore, based on the complex network modeling and topological characteristics analysis of metro systems, a metro network’s robustness and vulnerability measurement method under node interruption and edge failure is proposed for the first time in this study. Then, considering the three cases of general station interruption, interchange station interruption, and traffic tunnel failure, a quantitative resilience assessment model of metro networks is put forward, and the corresponding recovery strategies are discussed. Finally, a case study of the Zhengzhou Metro Network (ZZMN) under an extreme rainstorm is conducted to demonstrate the viability of the proposed model. The results show that ZZMN possesses scale-free and small-world network properties, and it is robust to random interruptions but vulnerable to deliberate attacks. ZZMN still needs to improve its effectiveness in information transmission. The centrality distribution for each node in the ZZMN network differs significantly, and each node’s failure has a unique impact on the network. The larger the DC, BC, and PR of a node is, the lower the network’s robustness after its removal is, and the stronger the vulnerability is. Compared with the three cases of general station interruption, interchange station interruption, and traffic tunnel failure, the network loss caused by tunnel failure was the lowest, followed by general station interruption, and the interruption at interchange stations was the most costly. Given the failures under various cases, the metro management department should prioritize selecting the optimal recovery strategy to improve the resilience of the metro network system. This study’s findings can assist in making urban metro systems less vulnerable to emergencies and more resilient for a quick recovery, which can provide scientific theoretical guidance and decision support for the safety and resilient, sustainable development of urban metro systems. Full article
(This article belongs to the Special Issue Urban Transport Network Modeling and Sustainable Maritime Transportation)
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9 pages, 974 KiB  
Article
Ports Opening for Seafarer Change during the COVID-19: Models and Applications
by Yu Guo, Ran Yan, Yiwei Wu and Hans Wang
Sustainability 2022, 14(5), 2908; https://doi.org/10.3390/su14052908 - 2 Mar 2022
Cited by 4 | Viewed by 1832
Abstract
Countries around the world have tightened their border controls in response to the spread of COVID-19. Consequently, seafarers are prohibited from boarding or leaving ships at most ports, with few exceptions. This situation means that seafarers are highly likely to serve onboard vessels [...] Read more.
Countries around the world have tightened their border controls in response to the spread of COVID-19. Consequently, seafarers are prohibited from boarding or leaving ships at most ports, with few exceptions. This situation means that seafarers are highly likely to serve onboard vessels beyond their contracted shifts. Most seafarers are prone to depression because they have to spend long periods at sea away from family and friends, and, thus, banning crew changes will put their mental health further at risk. This will increase the likelihood of maritime accidents, thus jeopardizing global supply chains and ultimately exacerbating current hardships. To tackle this emergency, the International Maritime Organization and the European Commission have called on governments to coordinate efforts to designate ports for crew changes during the pandemic. This study aims to solve the crew change problem by using an integer linear programming model. In the sensitivity analysis section, we find that the number of opening ports for crew changes and the cost of crew changes decrease when the cost of opening ports increases. The results show governments will not invest in opening more ports when the cost of opening ports increases. However, the penalty increases when the number of open ports decreases, and the cost of opening ports increases. As the number of crew changes is decreasing, this leads to the penalty increasing, when the number of open ports decreases. Full article
(This article belongs to the Special Issue Urban Transport Network Modeling and Sustainable Maritime Transportation)
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12 pages, 1682 KiB  
Article
A Cluster-First Route-Second Constructive Heuristic Method for Emergency Logistics Scheduling in Urban Transport Networks
by Ruyang Yin and Peixia Lu
Sustainability 2022, 14(4), 2301; https://doi.org/10.3390/su14042301 - 17 Feb 2022
Cited by 7 | Viewed by 2354
Abstract
Advanced strategies for emergency logistics scheduling problems in urban transport networks have been a challenging topic for centuries. This study proposed a cluster-first route-second constructive heuristic method based on the continuous approximation (CA) for ‘one-to-many’ vehicle routing to dispatch commidities after an emergency. [...] Read more.
Advanced strategies for emergency logistics scheduling problems in urban transport networks have been a challenging topic for centuries. This study proposed a cluster-first route-second constructive heuristic method based on the continuous approximation (CA) for ‘one-to-many’ vehicle routing to dispatch commidities after an emergency. The objective of the study is to provide a replenish schedule and routing solution from the government/provider’s end in order to minimize the total motion cost, pipeline inventory cost, and holding cost with backorder for the disaster relief operation. The developed method can turn the complicated vehicle routing problem (VRP) into a relatively simple travel salesman problem (TSP) for pre-assigned customer sets. The CA is employed to determine the optimal replenish amount and inventory level for the route serving a given location. The Christofides method is then applied to solve the TSP for the selected cluster. Two clustering methods are investigated in this research: (1) a local-based approach where clustering and routing are determined; and (2) a K-mean clustering method where points are clustered upfront by the CA solution. A case study in Miami-Dade County in Florida to dispatch fuels from the depot to 72 gas stations is presented, demonstrating the proposed approach and comparing two clustering methods. The numerical results illustrate the effectiveness of the algorithms and conclude that the local-based clustering approach may yield a lower total cost with a higher motion cost. Full article
(This article belongs to the Special Issue Urban Transport Network Modeling and Sustainable Maritime Transportation)
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14 pages, 4288 KiB  
Article
Microscopic Traffic Simulation as a Decision Support System for Road Diet and Tactical Urbanism Strategies
by Bernice Liu, Amirarsalan Mehrara Molan, Anurag Pande, Jonathan Howard, Serena Alexander and Zhiliang Luo
Sustainability 2021, 13(14), 8076; https://doi.org/10.3390/su13148076 - 20 Jul 2021
Cited by 9 | Viewed by 4246
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
(This article belongs to the Special Issue Urban Transport Network Modeling and Sustainable Maritime Transportation)
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15 pages, 1974 KiB  
Article
Optimal Congestion Pricing with Day-to-Day Evolutionary Flow Dynamics: A Mean–Variance Optimization Approach
by Qixiu Cheng, Jun Chen, Honggang Zhang and Zhiyuan Liu
Sustainability 2021, 13(9), 4931; https://doi.org/10.3390/su13094931 - 28 Apr 2021
Cited by 4 | Viewed by 1895
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
(This article belongs to the Special Issue Urban Transport Network Modeling and Sustainable Maritime Transportation)
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