The COVID-19 pandemic has heightened the need to better understand travellers’ preferences for reduced crowding in public transport. Using panel data from repeated choice experiments with a large sample of Norwegian metro and train users during and after the pandemic, we investigate how the marginal valuation of travel time varies depending on crowding levels and passengers’ positions when sitting

Shipping alliances are granted antitrust immunity (ATI) as a cooperative strategy for market development. However, the European Commission has ruled that these alliances no longer benefit from ATI treatment within the European Union (EU), raising concerns among governments about the implications for alliances and their associated ATI privileges. We analyze the alliance strategies of shipping companies

The rapid rise and wide penetration of environmental, social and governance (ESG) practices have promoted the green transformation of supply chains (SC) and provided opportunities for building sustainable SC. Corporate environmental governance is a vital ESG component that requires leveraging the synergy between enterprises in SC. This study constructs a panel dataset of listed corporates and their

Using electric micromobility vehicles, shared electric micromobility systems provide an environmental mode of short-distance travel within a city. Given the inescapable costs of vehicles and batteries, and the necessity for the system operator to manage the state-of-charge of vehicles through battery swapping to effectively meet uncertain demands, it is pivotal to accurately determine the initial allocation

This paper examines the optimal design of dynamic pricing strategies for a coupled ride-hailing market with the coexistence of ridesharing and non-ridesharing services. Riders may switch between ridesharing and non-ridesharing alternatives to maximize individual utility, which results in demand diversion. Due to the imbalance between demand and supply, riders may become impatient towards long waiting

Investigating and simulating the impact of floods on crowd dynamics at evacuation bottlenecks is essential, given the increment of the intensity of these disasters due to climate change. Previous studies have primarily focused on flood risk assessment for crowd evacuation during flooding. The complex interactions between pedestrians and water flow near evacuation bottlenecks have been rarely investigated

Under dynamic traffic demand conditions, two issues must be addressed when perimeter control is implemented for congested areas of a road network. The first is to avoid intersection spillback at the boundaries and expansion of the congestion, and the second is to improve the output traffic efficiency of the congested areas to quickly relieve traffic congestion. To address these two issues and solve

The concurrent availability of shared bikes (DBS) and emerging shared e-bikes (EBS) systems offers new opportunities for sustainable urban mobility, particularly in enhancing first/last-mile connectivity with metro systems. However, a significant gap exists in understanding user choice behavior between DBS and EBS for metro connectivity. As shared micromobility options, DBS and EBS exhibit more competitive

Quality in public transport is a widely discussed topic from both the user's and operator's perspective. With respect to the passenger’s standpoint, the aim of this research was to ascertain whether (and in what way) the traveler’s “quality perception” of high-standard stations could be differently affected by his/her individual attitudes/perceptions, such as to influence mobility choices. To this

Knowledge and expertise are critical to the proper functioning of supply chains. However, scholars have only stated the need for knowledge and information sharing and overlooked how it conceptually develops in organizations. This research provides an in-depth look at the source of knowledge through the lens of four decades of Transactive Memory Systems (TMS) research. Through netnographic research

This paper investigates solution methods for train eco-driving problems that include the classic single-train eco-driving problem, the single-train eco-driving problem with intermediate time-window constraints, and the eco-driving problem for a fleet of trains under the green-wave policy. The latter two problems are particularly relevant in modern, busy railway networks. We start from proposing a relaxed

In a macroscopic assignment model, traffic flows are distributed onto the network by means of a network loading model. The network loading propagates flows along links via a link model and through junctions or intersections via a node model. Most of the travel time delays are caused by queues forming at junctions or intersections, especially in urban networks. Therefore, the efficiency and accuracy

We initiate the study of dynamic traffic assignment for electrical vehicles addressing the specific challenges such as range limitations and the possibility of battery recharge at predefined charging locations. As our main result, we establish the existence of energy-feasible dynamic equilibria within networks using the deterministic queuing model of Vickrey for the flow dynamics on edges.

The bottleneck model has dominated the field on dynamic congestion, as it is tractable and has closed-form solutions. But it has rather specific outcomes that do not occur in most other dynamic models or under static congestion. In the bottleneck model, pricing can remove all travel delays while keeping the generalized price unchanged, making pricing much more beneficial than in other models. Thus

Hospitals are now the fifth-largest source of global greenhouse gas (GHG) emissions. Despite this significant impact, the critical goal of achieving carbon neutrality is often overlooked in optimization studies on healthcare operations management. To address this gap, this paper proposes a novel multi-objective decision-making framework for private hospitals that balances patient health, environmental

Special events lead to a surge in parking demand and severe traffic congestion in areas around event venues. This study investigates the departure-time choices and parking searches of attendees for special events and the resulting traffic congestion. Given the limited parking spaces around venues, drivers expanded their search area over time. Therefore, a bathtub model with a variable cruising area

MaaS (Mobility as a Service) is the main trend in future transportation development. From the user perspective, it is primarily manifested as a shift in travel behavior, transitioning from reliance on single modes, such as private cars, to a mixed mode of various transportation options. In order to facilitate providing door-to-door services for travelers, this paper proposes a user-centric route planning

Severe rainfall often affects train travel times in a high-speed railway network through speed restrictions and facility failures. The disturbance impact reduces the travel experience for passengers and creates enormous difficulties for train reception and departure at stations. This study presents a method for analysing the disturbance impacts of severe rainfall on train travel time in high-speed

The ongoing debate about the carbon subsidy regime focuses primarily on identifying the appropriate intended recipients and clarifying its role in sustainable operations. This paper assesses the effectiveness of the carbon subsidy regime by examining its impact on decarbonization incentives, profitability, sustainability, and welfare amidst uncertainties in innovation and demand. For that purpose,

Hybrid electric vehicles (HEVs) are perceived as transitional products bridging the gap between fueled vehicles and electric vehicles (EVs) because people intuitively believe that EVs are more environmentally friendly than HEVs. But is this perception true in the context of carsharing services (CSSs)? This paper pioneers a general large-scale multi-objective simulation–optimization (MOSO) method to

This paper presents a game-theoretical model of road pricing. The model incorporates an endogenized demand and path-choice user-equilibrium with variable user demand and multiple user classes. Different to most of the literature, the proposed model allows to compute in a direct way the optimal tolls, rather than by trial and error of exogenous toll values and tackles the problem of inactive paths that

The suddenness of natural disasters demands rapid response and timely information. The rapid development of unmanned aerial vehicle (UAV) technology offers new opportunities for post-disaster assessment. At the same time, UAV swarms covering multiple post-disaster regions also face challenges. Uneven UAV utilization and region allocation can lead to overuse and excessive energy consumption of certain

To ensure reliable data transmission in flying ad hoc networks (FANETs), efficient routing protocols are necessary to establish communication paths in FANETs. Recently, reinforcement learning (RL), particularly Q-learning, has become a promising approach for overcoming challenges faced by traditional routing protocols due to its capacity for autonomous adaptation and self-learning. This study presents

This essay provides an introduction to the field of travel forecasting from a historical perspective. Drawing on the book by Boyce and Williams (Forecasting urban travel: past, present and future. Edward Elgar Publishing, Cheltenham, 2015), I first recount the field’s three developmental phases, from inception to maturation. I then summarize significant innovations in model development, organized under

Universities are major trip attractors and generators in large cities, and they have a significant influence on the transport network particularly in high-density areas. The trips to and from university campuses are made by staff, students, and visitors, with an important daily rotation of people (e.g., students who leave early, arrive later, etc.). In this study, we aim to improve our understanding

In car-dominated cities like Melbourne, Australia, limited data on cyclists’ travel patterns and socio-demographic differences complicate understanding of the effectiveness of infrastructure investment interventions aimed at promoting cycling. Recent advancements in city-scale transport modelling enable virtual testing of such interventions. However, the application of agent- and activity-based models

Evaluating spatial access to urban opportunities (such as jobs) has been an emergent approach to studying urban inequities. Unlike in developed countries, where scholars have identified a significant correlation between socioeconomic inequality and residential segregation, Mexico City exhibits relatively high levels of inequality but not extensive segregation in terms of educational outcomes. What

We consider the Tramp Ship Routing and Scheduling Problem (TSRSP) in which we plan routes for a fleet of tramp shipping vessels operating on a combined contract and spot market. Earlier research has been fragmented due to variations in the side constraints studied. Hence we present the first unified model that can handle speed optimization, chartering costs, bunker planning, and hull cleaning. The