Multimodal Transportation Network Research Articles

How does an open system bus rapid transit (BRT) facilitate inter and intra-modal mobility? A visual analytic analysis of Brisbane, Australia

This paper explores the multimodal mobility impact of implementing BRT as an open system with mixed services and transfers or as a closed system with separate BRT services. In large multimodal public transport networks, interchanges or transfers for passengers are inevitable. A zone-based fare system ensures there is no financial penalty for interchange thus minimising the interchange penalty. In Brisbane, South East Queensland, Australia, the zone-based fare system does not penalise transfers within the same zone but charges a full fare for an inter-zone transfer within a single journey. The open system BRT in Brisbane, Australia is used as a case study with a sensitivity analysis on transfer rates to understand how open system operation has facilitated multimodal mobility between conventional bus and BRT services. Web-based simulation maps compare a closed BRT scenario with the open BRT system in operation. The coverage and volume of passengers are significantly reduced in the closed system scenario, especially for routes inbound to the Central Business District (CBD), since far fewer passengers in suburban areas would have direct BRT services. In Brisbane's current open system, there are fewer opportunities for multimodal trips because buses travel on and off the BRT infrastructure. This analysis can help urban transport agencies to optimise their BRT operations and provide better public transport services.

Research review on improving the efficiency of multimodal transportation based on technological solutions

During the process of analyzing Russian and foreign studies in the field of multimodal cargo transportation, existing methods for improving the efficiency of the multimodal transport system are considered. Improving efficiency of multimodal transportation today is possible due to the optimization of the interaction system between the used modes of transport and transportation of goods. Cost reduction, optimization of cargo terminals, the formation and development of the transport corridors network also play an important role in improving this type of transportation. The use of the new capabilities of satellite navigation, as well as the importance of reducing the environmental load and fuel economy should not be underestimated. The minimization of risks throughout the field of multimodal transportation, the improvement of the legislative framework and document management processes are important. To solve these problems, experts propose methods for the operational management of cargo delivery and expedited transportation. Based on these methods, the place of transport logistics in the process of bringing goods to the consumer during multimodal transportation is determined. A methodology for designing a multimodal transport network has been developed, this methodology involves the formation and development of transport corridors, taking into account new conditions for the globalization of transportation. Researches on the organization of transportation using multimodal transport units and technologies (containers, contrailers, "running highway") have been conducted. Based on the theory of controlled networks and integer linear programming methods, the experts developed mathematical models for the distribution of cargo flows, the choice of the most favorable transportation routes, ideal loading of rolling stock, and transportation of goods using the best forwarding algorithm. Methods are proposed for assessing the maximum capacity of the transport network and predicting the interference of weather conditions in the process of goods transportation, based on the Ford-Fulkerson theorem on the maximum flow and minimum cross section and the use of the mathematical apparatus of Markov chains. As a result of the analysis, it was concluded that the lack of a universal methodology for managing multimodal transportation processes on the basis of a telecommunication platform requires the formulation and solution of the important scientific and practical problem - the development of popular organizational and management methods, technological solutions to ensure the effectiveness of multimodal transportation. The totality of the tasks to be solved in this case has important socio-economic significance for the Russian Federation.

Optimal mixed charging schemes for traffic congestion management with subsidy to new energy vehicle users

AbstractTraffic congestion and emissions are two severe and urgent problems in the transportation field. To alleviate congestion and encourage green travel, this paper studies a mixed charging scheme for the multimodal transportation network including conventional vehicles (CV) and new energy vehicles (NEV). We exploit the optimal mixed charging schemes according to the mixed equilibria and system optimum model. The mixed equilibria characterized by the variational inequality system represents that the players follow either the user equilibrium or Cournot–Nash equilibrium principle in routing choice. The proposed mixed scheme comprises a regular tolling plan and a tradable credit plan for the CV and NEV users, respectively, where the tradable credits can be seen as a subsidy to the NEV users since they are issued free by the government. Moreover, the existence of the optimal mixed charging scheme is proved for the multimodal transportation network and demonstrated numerically by a concrete example.

What we can learn from birdsong: Mainstreaming teleworking in a post-pandemic world

Many urban areas suffer from poor air quality as a consequence of high levels of car-based traffic. Even cities with well-developed multi-modal public transport networks and favourable conditions for alternative transportation, such as Barcelona, experience problems with air pollution. The restrictions imposed on movement in response to the COVID-19 pandemic offer insights into the collective social benefits of reduced traffic. This situation also provided much-needed evidence about teleworking that will indicate whether it could become a mainstream and institutionalised practice in certain professions. In Barcelona, the experience of a less polluted, quieter and more liveable city has inspired both the municipal government and the citizens to rethink the use of public spaces and look for ways to reduce car dependency. We argue that this unprecedented crisis is an opportunity to create a more sustainable future of work and mobility in cities in the post-pandemic world.

Los puertos del Pacífico mexicano en el contexto de la red global de transporte multimodal

Since the starting of the process of commercial opening, initiated in the last decades of the 20th century, ports gradually modified their functions and forms of modal, logistic and territorial articulation to respond to the imperatives of geographical reach and efficiency demanded by increasingly globalized productive chains. In this sense, this work analyzes the position and the role of the container ports at the Mexican Pacific in the context of the formation of a global multimodal transport network that conditions and determines their destination. From a conceptual perspective based on the space of Castellian flows and the territory of Veltz’ networks, it is evaluated the possibility of consolidating concentrating ports at the Mexican Pacific which articulate flows not only to and from Mexico, but also those that have their origin or destination at other countries in the region, thus promoting its relevance as key port nodes connecting multimodal transport chains at national and continental levels.

Retracted: Emergency Decision Support System for Container Logistics Safety Based on Image Processor

Container multimodal transport is the main transport mode and development trend of international logistics. Information system plays an important role in the development of multimodal transport and is an important part of regional multimodal transport network layout. Due to the influence of global economic integration and borderless logistics, the improvement of logistics efficiency depends more on information management technology. Based on the research results at home and abroad, this paper introduces the image processing system, and establishes the research model of container multimodal transport logistics security emergency decision support system based on image processor by using mathematical modeling optimization method, summary and induction method, and the combination of qualitative analysis and quantitative analysis method Based on the theory, early warning management method and emergency decision system, an emergency decision support system for container multimodal transportation logistics safety based on image processor is established. This study is prospective. The results show that the overall efficiency is improved by 20% and the overall efficiency is higher after using the method in this paper, which has certain practical value.

ФОРМУВАННЯ ЛАНЦЮГІВ ПОСТАЧАНЬ РЕСУРСІВ В ІННОВАЦІЙНІЙ СИСТЕМІ АГРОЛОГІСТИКИ

У статті проаналізовано перспективи розвитку аграрного сектору економіки України. Визначено необхідність реформування агрологістики на принципах логістичної інтеграції і сталого розвитку. Впровадження підходів інтегрованої логістики та запропонованого теоретичного обґрунтування методів управління глобальними ланцюгами комплексних постачань у теорію і практику агрологістики допоможе вирішити проблеми реалізації логістичного потенціалу; посилення мультимодальності та взаємосполученості між різними видами транспорту; обслуговування, модернізації та розширення ефективної транспортної та логістичної інфраструктури, а також сприяння розвитку енергоефективних вантажних перевезень; підвищення кваліфікації та навчання персоналу у сфері логістики; сприяння розвитку торгівлі. Запропоновано певні рекомендації з питань підвищення ефективності управління ланцюгами постачань у сфері логістики агропромислової продукції за рахунок використання принципів сталого розвитку з огляду на цифрові технології під час побудови логістичних ланцюгів. Дослідження вивчають питання логістики в Україні, зокрема інституційні механізми планування та формування політики у сфері логістики.

Estimation of Disease Transmission in Multimodal Transportation Networks

Mathematical models are important methods in estimating epidemiological patterns of diseases and predicting the consequences of the spread of diseases. Investigation of risk factors of transportation modes and control of transportation exposures will help prevent disease transmission in the transportation system and protect people’s health. In this paper, a multimodal traffic distribution model is established to estimate the spreading of virus. The analysis is based on the empirical evidence learned from the real transportation network which connects Wuhan with other cities. We consider five mainstream travel modes, namely, auto mode, high-speed railway mode, common railway mode, coach mode, and flight mode. Logit model of economics is used to predict the distribution of trips and the corresponding diseases. The effectiveness of the model is verified with big data of the distribution of COVID-19 virus. We also conduct model-based tests to analyze the role of lockdown on different travel modes. Furthermore, sensitivity analysis is implemented, the results of which assist in policy-making for containing infection transmission through traffic.

Solving a dynamic routing problem using an optimization algorithm

Optimizing the configuration of the freight transport network is a challenge. The search for the optimal route solution in a dynamic urban multimodal transport network is aimed at minimizing the cost based on accurate forecasting of traffic flows and cost estimation. The purpose of the study is to review a methodology that can be applied centrally, by an organization that develops solutions for routing shippers, minimizing the total cost, assuming that all shippers involved in transportation send their requirements to a single coordinating center. Evaluation of a multimodal cargo routing system with restrictions on the number of vehicles is based on a hierarchical approach. It consists of several stages: prognostic modeling of the state of the traffic load of the road network and cost estimation for optimization, which includes a methodology for finding the optimal load to accelerate the convergence of the algorithm.

Price Regulation Mechanism of Travelers’ Travel Mode Choice in the Driverless Transportation Network

To study the guidance method of driverless travel mode choice from the perspective of traffic supply-demand, we assume that all vehicles are driverless and establish a multimodal travel market model to depict the supply-demand relationship of multimodal driverless transportation network. To regulate the disequilibrium multimodal travel market, an optimal price regulation law is proposed, which aims to minimize the supply-demand deviation and the amplitude of price regulation. Then, the existence, uniqueness, and stability of the optimal price regulation law are confirmed. In the calculation process of a numerical example, the travel prices of driverless car and driverless subway are realized by congestion fee and subway fare, respectively. The results indicate that the optimal price regulation law can reduce the supply-demand deviation of the multimodal travel market and guide travelers to choose a reasonable travel mode to travel in the driverless transportation network.

Rail and road public transport: Cooperation or coexistence?

In this paper we analyse the performance of 34 multimodal public transport networks worldwide to investigate whether the service characteristics of their metro components significantly affect bus performance and vice versa as well as whether their operational environment exerts the same impact on metro and bus public transport modes. We built a combined effectiveness model to simulate the production process of both bus and metro systems and calculated credible performance scores for them by applying data envelopment analysis and bootstrapping techniques. Results showed that, on average, both bus and metro systems require a great ridership increase to reach their best performing peers. We employed conditional robust order-m efficiency estimators to identify factors that may account for these performance rankings. Empirical findings indicate that bus and metro systems more coexist than cooperate in terms of developing their performance profiles. Bus and metro systems are influenced by different exogenous factors and fail to incorporate effectiveness improvements if service upgrades are delivered in their road or rail public transport counterparts. Our findings provide for a better understanding of the interrelationships within multimodal public transport networks and thus contribute to the formulation of both appropriate decision making and realistic performance targets.

Multi-Layer Distributed Constraint Satisfaction for Multi-criteria Optimization Problem

This article introduces a new approach to solve the multimodal transportation network planning problem (MTNP). In this problem, the commodities must be transported from an international network by at least two different transport modes. The main purpose is to identify the best multimodal transportation strategy. The present contribution focuses on efficient optimization methods to solve MTNP. This includes the assignment and the scheduling problems. The authors split the MTNP into layered. Each layer is presented by an agent. These agents interact, collaborate, and communicate together to solve the problem. This article defines MTNP as a distributed constraint satisfaction multi-criteria optimization problem (DCSMOP). This latter is a description of the constraint optimization problem (COP), where variables and constraints are distributed among a set of agents. Each agent can interact with other agents to share constraints and to distribute complementary tasks. Experimental results are the proof of this work efficiently.

Analysis of the Passenger Flow Transfer Capacity of a Bus-Subway Transfer Hub in an Urban Multi-Mode Transportation Network

In the context of a rapid developing urban economy and the increasing number of motor vehicles, urban commuting transportation has witnessed a serious mismatch between the supply of and the demand for transportation network resources. In developing an urban multi-mode traffic network, using a urban traffic transfer hub to coordinate the transportation capabilities among different traffic networks is perceived to be highly effective for exploring the network transportation capacity of an entire transportation system, and improving travel efficiency and experiences for the public. Based on the super-network model, this paper develops a topological structure for a multi-mode traffic network, in which two typical combined travel modes are selected to establish the path impedance function for that network. Moreover, the multi-mode traffic allocation model and the solving algorithm are constructed in the research. The paper studies the impact of two types of factors related to the transfer capacity of passenger flows based on the regular traffic network of a bus-and-subway transfer hub using a sensitivity analysis of the transfer time and the associated penalty. The findings suggest that both changes in transfer walking time and the transfer penalty have no significant effect on the bus passenger flow.

Dynamic modeling of the optimal route in the multimodal transport network

Dynamic modeling of the optimal route in the multimodal transport network

Small commodities, big infrastructure

The landlocked city of Yiwu in Zhejiang Province, China is considered to be the world’s biggest wholesale market for small commodities where low cost consumer goods such as kitchenware, toys, and electronics are traded in bulk before being retailed in (pound)shops around the world. Linked to the rest of the world through a multimodal transport network, Yiwu lies on the ‘backroads of globalisation’ along which minor, low-grade, low-value products travel (Knowles 2014). Building on work by social scientists who question the entanglement of state power, physical infrastructures, and people, this visual essay uses the theoretical lens of infrastructures as well as the lens of cameras to investigate the interdependence of Yiwu’s wholesale and logistics infrastructure and the individuals who work in them to facilitate the global trade of small commodities.

Instruments Used in Short Sea Shipping Research between 2002 and 2019

This study examines in what way SSS) has been researched through an inclusive review of papers published in well-known journals over the 2002–2019 period. Systematic exploration shows that Maritime Policy and Management plays a dominant role in publishing SSS research. At the same time, classification and identification of important on determinants and barriers for successful SSS has been found as the main research area, followed by attractiveness and competitiveness of SSS; policy and subsidizations in SSS and multimodal transportation network; energy efficiency, emission and environmental issue and protection; ports and transport system efficiency; cargo operations, inventory management, competitive SSS technology and ICT; potential demand, opportunity and competitive advantage; sustainable development and influence of meteorological and weather conditions on SSS operations as popular topics. Since 2002, the use of quantitative and qualitative analysis techniques has progressively increased in SSS in order to help researchers make decisions through selected scientific methods. With this work, present and prospective researchers can understand the contemporary development and popular research topics in SSS. By presenting a review on the common research instruments and techniques used in SSS research, this study is expected to seal the gap in the present literature through the collation of information on the research approaches in contemporary SSS studies.

Social and economic flows across multimodal transportation networks in the Greater Tokyo Area

We model the flow of human capital and resources across multimodal transportation networks throughout the Greater Tokyo Area. Our transportation networks include trains, buses, and roads integrated with a walking network among a geographically grounded hexagonal grid and connecting nodes of different modes. The hexagonal grid holds data on both the working population and number of jobs from which we built probability distributions for the origins and destinations of commuting trips. Using both the network simplex method and stochastically generated origin-destination trips we estimate the population flows necessary to satisfy this demand. Rather than micro-simulations of actual commuting patterns, congestion, or route planning, our approach aims to uncover patterns in the aggregate flow of human resources to and from economic opportunities. We describe the details of the socioeconomic data, network generation, and the results of our exploratory analysis, then discuss the implications of these findings for transportation usage and future work.

Multimodal Accessibility to Primary Health Services for the Elderly: A Case Study of Naples, Italy

In Europe, the share of people aged 65 years and above is expected to increase exponentially, and in 2050, for the first time in human history, the number of older people will be larger than the number of children under the age of 15. Aging is associated with increased vulnerability and dependence on medical care services. For these reasons, providing access to health services to people aged 65 years and over is crucial. From the perspective of social equity, everyone should have the opportunity to access healthcare services equally, but due to economic and geographical issues, achieving this level of equity is challenging. The aim of this study was to fill the gap between scientific and actual practices using an accessibility measure to evaluate urban accessibility to primary healthcare services and to support decision-makers to better allocate resources in local restructuring of welfare policies. The accessibility measure was designed considering both the land use and the transportation components, the local healthcare supply system, and a multimodal transportation network. The methodology was applied to the city of Naples considering Local Health Agency (ASL) healthcare services to the elderly. The ASL is the largest health agency in Europe, consisting of 17 buildings serving nearly 200,000 elderly. The results show that the entire elderly neighborhood population suffers from poor accessibility to primary health services, especially in the city suburbs, and that the methodology could be effectively applied to urban planning strategies to achieve a high quality of life for elderly people. Due to poor dialogue between the authorities, this could help to improve the decision-making process through the lens of social equity.

Instruments Used in Short Sea Shipping Research between 2002 and 2019

This study examines in what way SSS) has been researched through an inclusive review of papers published in well-known journals over the 2002–2019 period. Systematic exploration shows that Maritime Policy and Management plays a dominant role in publishing SSS research. At the same time, classification and identification of important on determinants and barriers for successful SSS has been found as the main research area, followed by attractiveness and competitiveness of SSS; policy and subsidizations in SSS and multimodal transportation network; energy efficiency, emission and environmental issue and protection; ports and transport system efficiency; cargo operations, inventory management, competitive SSS technology and ICT; potential demand, opportunity and competitive advantage; sustainable development and influence of meteorological and weather conditions on SSS operations as popular topics. Since 2002, the use of quantitative and qualitative analysis techniques has progressively increased in SSS in order to help researchers make decisions through selected scientific methods. With this work, present and prospective researchers can understand the contemporary development and popular research topics in SSS. By presenting a review on the common research instruments and techniques used in SSS research, this study is expected to seal the gap in the present literature through the collation of information on the research approaches in contemporary SSS studies.

A Traffic Assignment Approach for Multi-Modal Transportation Networks Considering Capacity Constraints and Route Correlations

A multi-modal urban transportation network provides travelers with diversified and convenient travel options. The study of multi-modal traffic assignment encounters great challenges from the common-line problem, route correlation, and the variability of travel tools. This article starts with the construction of super-networks to solve the common-line problem of multi-modal system. From the dimensions of time, fee, comfort, and transfer penalty, a multi-modal generalized travel cost function is proposed to reflect the impact of travel mode and transfer on route choice. Based on C-logit model, considering multi-modal capacity constraint and route correlation, a nonlinear programming model equivalent to the multi-modal stochastic user equilibrium is set up. The corresponding solving algorithm is designed by combining the augmented Lagrangian multiplier method and the successive weight average algorithm. Finally, the effectiveness of the proposed model and algorithms is verified through a numerical example, and the traffic assignment approach is applied in some typical scenarios. The multi-modal transportation network equilibrium approach proposed in this article takes into account the capacity constraints of different travel modes and solves the path overlapping problem in combined modes. It provides a basis and tool to formulate the traffic management strategy for public transport and combined mode trips.