Transport Demand Research Articles

항공 교통약자의 권리보호에 관한 고찰

The purpose of this paper is to examine the institutional arrangements in place to facilitate air travel for people with disabilities and other transportation disadvantaged populations as air transportation demand begins to recover from the COVID-19 pandemic.
 The paper is organized into three main sections. The first section is a theoretical review of the public nature of air transportation and the mobility rights of people with disabilities. In particular, it discusses how private commercial airlines, which are not operated by the state, are public, and furthermore, why the right to mobility of persons with disabilities should be guaranteed in air transportation.
 In the second paragraph, we reviewed the comparative legal framework for ensuring the right to mobility of persons with disabilities in air transportation. The regulations of ICAO and IATA were examined as international standards, and legislative examples of developed aviation countries such as the United States and the European Union were analyzed. Through this, we explored various ways to ensure the right to mobility of the air traffic disadvantaged by comparing international standards and cases from advanced countries.
 The third paragraph examines the provisions related to the air traffic disadvantaged in Korea's Aviation Business Act and its implementing regulations, and suggests future revisions.
 Air transportation plays an important role as a means of transportation for the entire society. However, the transportation disadvantaged, especially people with disabilities, face many difficulties in using air transportation services. Since it is difficult to solve these problems through legal amendments alone, it is necessary to recognize the public nature of air transportation and make efforts to ensure the rights and interests of the transportation disadvantaged based on this.
 From a theoretical perspective, this paper explored the reasons why air transportation is public and why it is necessary to prevent the exclusion of the disadvantaged. From a practical perspective, it investigated what legal measures developed countries are taking to protect the disadvantaged in the field of air transportation and tried to suggest ways for Korea to realize the rights and interests of the disadvantaged more effectively. This paper is expected to raise awareness of the theoretical and practical solutions for the protection of the disadvantaged in air transportation and contribute to the improvement of domestic policies and systems.

Decisions on ship route, refueling, and sailing speed considering ECA regulation and demand uncertainty

This article aims to maximize the shipping company’s profits by jointly optimizing shipping volume, refueling, ship leg option, and sailing speed with considering of stochastic shipping demand and Emission Control Area (ECA) regulation. Shipping demand is inherently stochastic and intermittent characteristic, causing formidable challenges in shipping service. A distributionally robust optimization method is adopted to handle the demand uncertainties. We build an ambiguity set of shipping demand and introduce a chance constraint with the shipping volume and shipping demand balance to guarantee the satisfactory rate of shipping demand. Moreover, the ECA regulation stimulates the diversification of transportation routes, which further increases transportation uncertainty. Thus, a nonlinear mixed integer programming model with nonconvex chance-constraint is developed. The optimal solution is obtained by transforming the original problem into an attractable second-order conic programming problem. An Asia service route is selected as a numerical experiment. The results show that the proposed model is effective, the optimal refueling strategy, leg option, speed, and shipping volume can be determined simultaneously. Meanwhile, it outperforms the state-of-the-art methods in requiring less demand information and producing fewer conservative results under demand uncertainties. Additionally, some managerial insights are revealed according to the case study.

Decision support for improved construction traffic management and planning

Densifying cities continuously call for new construction, renovation and demolition projects, each generating vast amounts of heavy goods vehicle (HGV) transports. However, how construction transportation affects the urban traffic network remains largely unexplored. This study addresses spatiotemporal network impacts from construction transport, by leveraging traditional traffic and transport simulation. To this end, a framework is presented including (i) a simulation model to compute traffic effects caused by varying off-site construction site transport demands, and (ii) conceptual applications of the simulation model showing construction logistic planning strategies to mitigate congestion disturbances. Simulations are conducted in MATSim using detailed secondary datasets describing site-specific transport arrivals from a case of six projects in Norrköping, Sweden. Subsequently, increasing transport demands were assessed on various time-window arrival scenarios against the baseline schedule, which can be used as decision support in urban planning. Results highlight how rigorous construction transport planning avoiding peak-traffic hours can significantly alleviate traffic congestion. This study also emphasizes the need to combine all simultaneous construction projects’ demands when evaluating disturbances on city-level, alongside the impact on individual links and microenvironments. This study adds knowledge by visualizing the traffic impact during urban transformation.

Beyond predict and provide: Embracing sufficiency synergies in road freight electrification across the European Union

The challenge of aligning with the net-zero ambitions of the European Union necessitates a critical examination of the road freight transport sector, a pivotal contributor to global commerce and greenhouse gas emissions. Despite the sector's potential for electrification to mitigate emissions, the prevailing ‘predict and provide’ planning approach may inadvertently reduce this low-carbon transition to mere technological substitution, neglecting deeper intrinsic transport issues. This perspective critiques the ‘predict and provide’ approach and advocates for the adoption of ‘sufficiency-oriented planning’. It presents a comprehensive, interconnected approach, challenging not only the technology in use but also the foundational principles of transport demand. Furthermore, it explores the broader implications of this multi-system transition for the energy sector. The perspective consequently underscores the necessity of a paradigm shift in planning for road freight transport electrification for the sector to genuinely contribute to sustainability objectives and not risk diminishing the transformative potential of this transition.

Data-Driven Framework for Generating Travelers with Demographic-Activity-Travel Information

Transportation demand models and traffic simulations, particularly in the realm of innovative activity-based models, necessitate comprehensive demographic-activity-travel data. Although cell phone data holds the potential to provide detailed insights into activity-travel patterns, transportation planners often resort to aggregate data, constrained by limited socio-demographic attributes because of stringent privacy protection policies. This creates a significant challenge: how to reconstruct detailed traveler profiles from such aggregate data. In this paper, we propose a novel data-driven integration framework, DATG, based on improved Markov and XGBoost classification models, with which we are able to reconstruct travelers with diverse socio-demographic attributes as well as their one-day activity-travel information. We test our model on a real cell phone data set and validate the proposed model by relying on travel survey data. Our framework is able to provide fundamental data support for agent-based models, activity-based models, and transportation planning.

Linkages among stem xylem transport, biomechanics, and storage in lianas and trees across three contrasting environments.

Stem xylem transports water and nutrients, mechanically supports aboveground tissues, and stores water and nonstructural carbohydrates. These three functions are associated with three types of cells-vessel, fiber, and parenchyma, respectively. We measured stem theoretical hydraulic conductivity (Kt), modulus of elasticity (MOE), tissue water content, starch, soluble sugars, cellulose, and xylem anatomical traits in 15 liana and 16 tree species across three contrasting sites in Southwest China. Lianas had higher hydraulic efficiency and tissue water content, but lower MOE and cellulose than trees. Storage traits (starch and soluble sugars) did not significantly differ between lianas and trees, and trait variation was explained mainly by site, highlighting how environment shapes plant storage strategies. Kt was significantly positively correlated with vessel diameter and vessel area fraction in lianas and all species combined. The MOE was significantly positively correlated with fiber area fraction, wood density, and cellulose in lianas and across all species. The tissue water content was significantly associated with parenchyma area fraction in lianas. Support function was strongly linked with transport and storage functions in lianas. In trees, transport and support functions were not correlated, while storage function was tightly linked with transport and support functions. These findings enhance our understanding of the relationship between stem xylem structure and function in lianas and trees, providing valuable insights into how plants adapt to environmental changes and the distinct ecological strategies employed by lianas and by trees to balance the demands of hydraulic transport, mechanical support, and storage.

Opportunities and Challenges of Malaysia Cross Border Inland Port

Malaysia is a country that has borders close to 3 countries, namely Thailand, Indonesia and Singapore. This strategic location helps Malaysia take advantage of cross-border trade involving these three countries. As a result, there are several sea and land ports built near the borders of the three countries to facilitate international trade with neighbouring countries. However, the facilities available at the sea and land ports near the neighbouring country are seen to be reaching the maximum level of utilization to accommodate the existing cargo capacity that is transited before being sent to the nearby sea port. This study was conducted for the purpose of identifying the opportunities that exist in developing international trade activities in addition to looking at the challenges being faced by key stakeholders involving this cross-border trade. This study was conducted qualitatively involving the collection of research information through interviews conducted with several port personnel. The findings of the study were analysed manually through thematic methods. The study found that, in terms of trade opportunities, some provinces in the south of Thailand are highly dependent on the ports available in the country given the short travel distance to ship their trade goods to the port compared to their own country. However, inland ports in our country have almost reached the maximum level of use. In addition, this study also found that there is a shortage of ships entering the port of Penang due to the demand for ships rising sharply for trade routes involving countries outside Asia. In this regard, Malaysia is seen to be able to become a major trade hub involving Southeast Asian countries if we are able to improve existing facilities of ports in this country as well as reduce bureaucracy for the purpose of increasing existing productivity to speed up the clearance process.

Exploring the relationship between public transport use and COVID-19 infection: A survey data analysis in Madrid Region

The COVID-19 pandemic has changed people's mobility patterns, increasing the preference for private modes and reducing the public transportation demand. Most scientific contributions have studied the role of mobility levels in the spread of the virus and the influence of public transport on COVID-19 infections, but ignoring the importance of individual-level variables potentially affecting COVID-19 infection, such as daily habits. This paper analyses the relationship between the probability of being infected by COVID-19 and using public transport through a survey data analysis, taking Madrid (Spain) as the case study. This research uses a survey campaign with more than 15,000 responses, capturing socio-demographic aspects, COVID-19 infections, daily habits, and mobility patterns with high risk of COVID-19 infection. Through a multilevel probit model, this paper explores the extent to which a higher use of public transport is related to a greater likelihood of COVID-19 infection. The results suggest a relationship, although not very strong, between the probability of infection and the conjunction of higher frequency of use of metro services and level of crowding during the trip, whereas the use of bus services and travel time within the vehicle do not appear to affect.

Building a baseline to better integrate air passenger and air freight transport into a global Computable General Equilibrium (CGE) model

The Covid-19 pandemic has had opposite effects on demand for air passenger and air cargo transport and on the way these two sectors interact with other sectors of the economy. However, macroeconomic models generally represent aviation as a single sector, limiting the ability to assess those interactions. In this study, we split the air transport sector into two sectors (passenger and freight) in GTAP’s Multiregional Input–Output table. We assess the sectors’ response to a carbon tax by performing a sensitivity analysis. Our results highlight the environmental benefits from the Covid-19 pandemic will only be transitory unless policies and consumer demand rein in traffic growth in the aviation industry. Particular attention should be paid on leisure travel, due to its large share in the aviation industry and the potential steep rise in demand (87%) in the EU27 projected between 2015 and 2030.

Формування комплексного підходу до досліджень впливу транспортно-промислових процесів на сіті-логістичні системи

Taking into account the need for post-war reconstruction, one of the important issues is the formation of city-logistics systems taking into account the prospects for the development of urban industry, advanced achievements of science and technology, and the introduction of ecological modes of transport. , ensuring the European level of social and cultural development of the population. Meanwhile, enterprises of the metallurgical industry, as a rule, are city-forming in the settlements of industrial districts, they employ tens of thousands of workers. Taking into account the continuity of the main production processes in metallurgy, employees of such enterprises have a need for round-the-clock daily movement from their place of residence to the enterprise and back. At the same time, the schedules of the beginning and end of work shifts may be different at the same enterprise. Under such conditions, it is important to provide employees with timely and reliable transportation to the workplace. Accordingly, the city's transport system as a whole and the city's public transport in particular must be ready to ensure the growth of demand for passenger transportation for the sustainable development of the city's economy and social sphere. The article emphasizes the relevance of the tasks of optimizing the duration of signals both for relatively simple configurations of street network nodes and for complex street intersections with several sections of the road separated by a boulevard. The approach proposed by the authors to the management of the city-logistics system in the conditions of the cities of industrial regions will ensure the growth of demand for passenger transportation for the purpose of sustainable development of the economy and social sphere of cities. The need has been proven and practical solutions have been proposed for increasing the level of road safety, reducing traffic jams, and improving traffic modes within the cities of industrial areas, which allows to reduce the number of traffic accidents, ensures the fulfillment of urban logistics tasks, and also reduces the level of energy consumption of vehicles. expedient connection of various types of street transport, including individual ones, which will ensure rational planning of street space and increase the efficiency of the transport system of cities.

Autonomous Ride-Sharing Service Using Graph Embedding and Dial-a-Ride Problem: Application to the Last-Mile Transit in Lyon City

Autonomous vehicles are anticipated to revolutionize ride-sharing services and subsequently enhance the public transportation systems through a first–last-mile transit service. Within this context, a fleet of autonomous vehicles can be modeled as a Dial-a-Ride Problem with certain features. In this study, we propose a holistic solving approach to this problem, which combines the mixed-integer linear programming formulation with a novel graph dimension reduction method based on the graph embedding framework. This latter method is effective since accounting for heterogeneous travel demands of the covered territory tends to increase the size of the routing graph drastically, thus rendering the exact solving of small instances computationally infeasible. An application is provided for the real transport demand of the industrial district of “Vallée de la Chimie” in Lyon city, France. Instances involving more than 50 transport requests and 10 vehicles could be easily solved. Results suggest that this method generates routes of reduced nodes with lower vehicle kilometers traveled compared to the constrained K-means-based reduction. Reductions in terms of GHG emissions are estimated to be around 75% less than the private vehicle mode in our applied service. A sensitivity analysis is also provided.

Caregiver Perspectives on Receiving Gender-Affirming Care with Their Transgender and Gender Diverse Adolescents via Telemedicine

Telemedicine may help improve access to gender-affirming care for transgender and gender diverse (TGD) adolescents. Parents or guardians (i.e., caregivers) of TGD adolescents play a critical role in supporting TGD adolescents in accessing this care. The purpose of this study was to explore caregivers’ perspectives regarding their adolescent receiving pediatric gender-affirming care via telemedicine to help providers and health systems optimize this modality for future care delivery. Caregivers (n = 18) of TGD adolescents ages 14–17 participated in semi-structured, individual interviews that were transcribed and analyzed qualitatively. Caregivers cited participating in visits from their home environment, decreased anxiety, COVID safety, ability to have more family members attend, no transportation demands, and effective delivery of care as advantages of telemedicine. Disadvantages included dysphoria or discomfort with self-image, impersonal provider-patient interactions, video teleconferencing fatigue, difficulty with portal navigation, connectivity issues, and lack of privacy. Caregivers largely deferred to their child’s preference regarding the choice of visit modality, but many reported a preference for the first to be conducted in-person, and follow-up and less complex visits via telemedicine. Health systems should consider these perspectives as they adapt telemedicine infrastructure to better meet the needs of patients and their families.

Tram-Pedestrian Collision Modeling Using Experimental Data—Its Validation, Repeatability, and Challenges: A Pilot Study

To satisfy the needs of growing urban populations, mitigate the impacts of climate change, and improve the environmental conditions and quality of life in cities, there has been an increasing demand for public transport, especially effective and economically beneficial trams. As a consequence, the issue of pedestrians’ safety has become more important because of a higher risk of tram-pedestrian collisions. The article is focused on the development of a computational model that can accurately simulate such collisions, and its challenges and limitations. Experiments were conducted using various types of trams, different impact speeds, and an anthropomorphic test device (dummy). Computational models of the tram front ends were created based on CAD geometry supplied by VÚKV a.s. The finite-element mesh itself used a combination of 1D, 2D, and 3D elements. Depending on the shape of the individual components, TRIA, QUAD, HEX, PENTA, and TETRA elements were used for modeling. The results showed that the consequences of these collisions are sensitive to small differences in the posture of the dummies. Therefore, it is difficult to identify a generally more pedestrian-friendly shape for trams using the dummy-tram crash test method.

Co-benefits of transport demand reductions from compact urban development in Chinese cities

Co-benefits of transport demand reductions from compact urban development in Chinese cities

Specifics of Creating a Public Transport Demand Model for Low-Density Regions: Lithuanian Case

A transport model usually consists of a demand model and an available transport network model. The purpose of this article is to identify the key specifics for the development of a regional public transport (PT) demand model and to point out the differences from the urban PT demand model. The traditional four-step transport planning demand model consists of trip generation, trip distribution, modal split, and assignment. This article consists of PT model development, calibration, and validation. A PTV VISUM macroscopic modeling program is used for this research. As a result, this article presents basic suggestions for how a PT demand model should be developed in regions. The presented suggestions for developing a PT demand model can be applied to any low-density region. The rest of the article is structured as follows: (1) Background: presents a literature analysis of the four-step model, modal splits, and the features of the PTV VISUM program; (2) Methods: describes the considered region of Lithuania and the data of the developed model; describes the four-step model, which is adapted to the Lithuanian region; (3) Results: presents the results and main suggestions for creating a PT demand model; and (4) Conclusions: presents the main conclusions of the study.

Agent-based modelling of high-speed railway interdependent critical infrastructures facing physical and cyber threats

Globally, high-speed rail systems serve nearly 2 billion passenger-km daily. By virtue, they are a critical infrastructure like telecommunication and power networks. Accordingly, they become a catalyst for societal and economic growth stemming from the mobility business. The highspeed rail operations are very complex and interdependent, owing to the escalated demands for long-distance interconnected transportation. In recent years, there have been unreasonable delays for passengers as a new norm due to unfortunate train cancellations and relaxation of mobility performance requirements. Therefore, accurate measurements, monitoring and prediction of disruptive impacts and service performance metrices are indispensable. Within the scope of high-speed rail services, this paper examines how agent-based and multi-agent-based models are utilized to address such the challenges. Our findings reveal that the current use of agents or multi-agent models has some limitations for practical applications. Previous studies showed that mathematical methods to assess the resilience of critical infrastructures, railway scheduling, and vehicle dispatching can yield more satisfactory outcomes, although the approaches can be relatively time-consuming. In contrast, agent-based and multi-agent-based models can shorten processing time and uncover disruptive events more promptly. The paper thus showcases several emerging concepts, including i) the utilization of big data for crisis management, ii) interconnectivity analysis of high-speed rail infrastructures, and iii) enhancement of transport resilience. In addition, our findings identify the most influential agents and their possible applications to enhance systems resilience of highspeed rail networks when dealing with unforeseen physical and cyber threats.

A collaborative decision support framework for sustainable cargo composition in container shipping services

AbstractThis paper proposes a decision support system (DSS) for optimizing cargo composition, and resulting stowage plan, in a containership of a shipping company in collaboration with en-route ports in the service. Due to considerable growth in transportation over years, an increasing number of containers are being handled by containerships, and ports consequently. Trade imbalances between regions and recent disruptions, such as LA/LB/Shanghai port congestion, blocking of Suez canal, drought in Panama canal, typhoons at ports, COVID-19 restrictions and the lack- and then over-supply of empty containers, have resulted in an accumulation of containers in exporting ports around the world. These factors have underscored the urgency of sustainability and circular economy within the shipping industry. The demand for container transportation is higher than the ship capacities in the recent times. In this regard, it is essential for shipping companies to generate a cargo composition plan for each service by selecting and transporting containers with relatively high financial returns, while offering a realistic stowage plan considering ship stability, capacity limitations and port operations. Ultimately, the selected containers should enable a ship stowage plan which keeps the ship seaworthy obeying complex stability considerations and minimizes the vessel stay at the ports, and port carbon emissions consequently, through efficient collaboration with en-route ports. This study provides a bi-level programming based DSS that selects the set of containers to be loaded at each port of service and generates a detailed stowage plan considering revenue, stowage efficiency and quay crane operational considerations. Numerical experiments indicate that the proposed DSS is capable of returning high-quality solutions within reasonable solution times for all ship sizes, cargo contents and shipping routes, supporting the principles of the circular economy in the maritime domain.

A Hybrid Control Path Planning Architecture Based on Traffic Equilibrium Assignment for Emergency

Unconventional events exacerbate the imbalance between regional transportation demand and limited road network resources. Scientific and efficient path planning serves as the foundation for rapidly restoring equilibrium to the road network. In real large-scale road networks, especially during emergencies, it is usually difficult to obtain or predict accurate dynamic traffic network flows in real-time, which is used to support equilibrium path planning. Moreover, the traditional iterative methods cannot meet the real-time demand of emergency equilibrium path planning decision generation. To solve the above problems, this paper proposes a hybrid control architecture for path planning based on equilibrium traffic assignment theory. The architecture introduces the travelers’ real-time travel data and constructs a spatio-temporal neural network, which captures the evolution of traffic network loads. Adaptive multi-graph fusion technology is used to mix the background traffic flow data and the traveler’s real-time Origin–Destination (OD) data, to mine the dynamic correlation between the traffic state and the travelers’ travel. Based on the real-time prediction of dynamic network states, equilibrium mapping learning is carried out to pre-allocate potential travel demands and construct equilibrium traffic graphs based on system optimization traffic assignment. Finally, individual evacuation path strategies are generated online in a data-driven manner in real time to achieve improved resilience in the transportation system.

Measurement of public acceptance of TDM policies using combination of public policy acceptance (PPA) and value belief norm (VBN) approach

One strategy to overcome the problem of imbalance between the demand and supply of road transportation that causes congestion is to apply transport demand management (TDM). TDM is a series of transportation policies aimed at achieving sustainable transportation by reducing the use of private vehicles and prioritizing public transport and/or non-motorized vehicles. The level of public acceptance of TDM largely determines the success of TDM implementation. Through the Value Belief Norm Theory approach, it can be seen that public acceptance of TDM policies will be influenced by how high the norm of community partiality towards the environment. The level of public acceptance of a TDM regulation can also be measured by the Public Policy Acceptance (PPA) Model. The results of the study proved that acceptance of TDM strategy implementation was quite significantly influenced by the pro-environment attitude of the community. The PPA model result showed that people tend to be skeptical of the implementation of TDM policies.

H2O/HF Scavenging Mechanism in Cellulose-Based Separators for Lithium-Ion Batteries with Enhanced Cycle Life.

Lithium-ion batteries (LIBs) are increasingly being integrated into the transportation industry due to their high energy density, durability, and low cost. With the growing demand for transportation and other emerging applications, there is a concurrent rise in concern over LIB material sourcing and recycling. This urges the development of LIBs with extended cycle lifespans. One mechanism of capacity fading in LIBs is the dissolution of transition metals into the electrolyte after the cathode is etched with hydrofluoric acid (HF). HF is readily generated by the hydrolysis of the LIB electrolyte salt, lithium hexafluorophosphate (LiPF6), which makes minimizing moisture in the electrolyte a priority in manufacturing. In this study, a nonwoven, cellulose-based separator (CBS) is introduced as an alternative separator for battery technologies to scavenge residual water and HF from the electrolyte. The CBS is shown to be capable of scavenging varying amounts of water from the electrolyte based on different drying processes of the CBS, and a mechanism for this water scavenging is identified based on the materials present in the CBS. In addition, the chemical and electrochemical performance of the CBS in real battery conditions is investigated. Results suggest an effective H2O/HF scavenging capability in the CBS that allows LIB coin cells to have over 17% higher capacity retention than those with conventional separators. Furthermore, studies of the industrially manufactured, commercially relevant cylindrical and pouch cells show remarkable 761 and 103% improvements in the 60% capacity lifetime, respectively. The environmental friendliness, low cost, and easy application empowered by the cycle life improvements shown in this work make this nonwoven CBS a promising candidate for improving industry-level LIB performance.