Although there is ample empirical evidence that congestion charges can effectively reduce traffic congestion and its detrimental effects, this instrument has only been implemented in a handful European cities. On the basis of a randomized information experiment that was embedded in a survey...

The urban transportation system is vital for efficient daily travel. Understanding how urban road network density and width influence traffic performance is crucial for informed decision-making in urban planning. In this study, we designed three homogeneous square road networks with varying...

We implement Pigovian transport pricing in a field experiment in urban agglomerations of Switzerland over the course of 8 weeks. Our pricing considers the external costs from climate damages, health outcomes from pollution, accidents and physical activity, and congestion. It varies across time,...

In September 2021, the city of Bogota' introduced a major market-based reform to its odd-even driving restriction, known as Pico y Placa. Since then, drivers have had the option to pay a daily congestion fee to be exempt from the restriction. We find t hat while the reform increased traffic, it...

Traffic congestion (TC) disrupts everyday life, elevating stress levels, extending commute durations, diminishing productivity, hampering air quality, and reducing the overall quality of life. Congestion exacerbates already-existing problems in densely populated cities and makes efficient urban...

Jakarta, the economic hub of Indonesia, faces significant air pollution challenges exacerbated by meteorological factors. This study proposes applying Fuzzy Geographically Weighted Clustering (FGWC) combined with Coot Bird Optimization (CBO) to evaluate the vulnerability of air quality in...

Purpose This paper seeks to evaluate the factors that contribute to congestion at port entrances, propose a comprehensive approach to managing port gates that addresses the factors causing traffic jams and assess the outcomes of resolving the issue through an optimal model for incoming container...

Background: Container terminals (CTs) have constantly administered truck appointment systems (TASs) to effectively accomplish the planning and scheduling of drayage operations. However, since the operations in the gate and yard area of a CT are stochastic, there is a need to incorporate...

This study studies nudging information as a strategy that can complement or substitute externality pricing, by influencing commuter behavior through awareness of the health and environmental impacts of their choices. We develop a bi-modal model with road and metro commuters, with bottleneck...

Background: This paper introduces an enhanced multi-period p-mobile hub location model that accounts for critical factors such as service time, flow processing delays, and congestion impacts at capacity-constrained hubs. As (urban) transportation networks evolve, mobile hubs play an increasingly...

We implement Pigovian transport pricing in a field experiment in urban agglomerations of Switzerland over the course of 8 weeks. The pricing considers external costs from climate damages, health outcomes and congestion and varies across time, space and mode of transport. The treatment reduces...

Analyzing the flow of vehicles within a metropolitan area is essential to understand traffic congestion better and evaluate urban mobility for more environmentally and sustainable targets. This study uses real-time big data to conduct a spatiotemporal analysis of traffic congestion patterns in...

This paper explores how the interaction between human-driven vehicles (HVs) cruising for parking and autonomous vehicles (AVs) traveling back and forth affects travel behavior and congestion. To capture the spatial distribution of parking, we develop a continuous spatial optimization model, with...

We study how preference heterogeneity affects travel behavior and congestion pricing in a dynamic flow congestion model. We formulate and solve a multi-point optimal control problem using a Hamiltonian-based method to derive the social optimum. The properties of the travel equilibrium are...

Predicting freeway traffic states is, so far, based on predicting speeds or traffic volumes with various methodological approaches ranging from statistical modeling to deep learning. Traffic on freeways, however, follows specific patterns in space-time, such as stop-and-go waves or mega jams....

Road traffic jams are a major problem in most cities of the world, resulting in massive delays, increased fuel wastage, and monetary and productivity losses. Unlike conventional computer networks, which experience congestion due to excessive traffic, road transportation networks can experience...

Time scarcity is one of the strongest correlates of fast food consumption. To estimate the causal effect of time lost on food choice, we match daily store-specific foot traffic data traced via smartphones to plausibly exogenous shocks in highway traffic data in Los Angeles. We find that on days...

The COVID-19 pandemic has been posing unprecedented challenges for the transport sector. Urban travel has declined all over the world, but not uniformly for all modes; public transportation has taken the hardest blow. As a result, there has been a widespread reduction in public transport...

Ride-hailing applications create new challenges for governments providing transit services, but also create new opportunities to raise tax revenue. To shed light on the effect of taxing or subsidizing ride-hailing applications, we extend a pseudo-monocentric city model to include multiple...

Downs (1962) claimed that expressways reach maximum traffic flow but lower congestion. In urban economics since Strotz (1965), road capacity is measured by road width, and congestion as the delay in travel showing that wider roads lower congestion. Duranton and Turner (2011), in an econometric...

We examine the impact of port congestion on containership freight rates. Our results show that port congestion has a positive and significant effect on containership freight rates. However, a 1% increase in port congestion in North America or Europe has an effect of approximately 0.5% on...

This paper uses a novel GPS-coded dataset for more than three million car trips in the four largest German cities to measure the efficiency losses from using uniform fuel taxes as a second-best optimal tax to reduce traffic congestion. We estimate the short-run price elasticity of...

Given a capacity function, an increase in demand will lead to a higher equilibrium price. Some economists take the capacity equilibrium for congestion. This paper corrects such an understanding and shows that congestion should only mean excess demand. The correct understanding should lead to...

Traffic courts are deeply important, but we know almost nothing about what goes on inside them. There are at least three reasons to care. First, traffic courts resolve over half of all cases brought into our justice system each year. Understanding how traffic courts work is thus crucial for...

The aim of this paper is to shed light on the effect of Low Emission Zones (LEZs) on traffic. LEZs are areas in which access is restricted for the most polluting vehicles. They have been found to be effective in reducing pollution, while the expected effect on traffic is not clear. Using...