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...

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,...

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....

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...

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...

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...

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...

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...

I study the effects of London England’s Congestion Charge on regional traffic, commuting, and economic activity’s spatial distribution. In 2003, London began tolling drivers to enter its central business district on workdays and this policy immediately reduced downtown traffic. I measure...

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...

The pricing of public transportation is a frequently debated subject, and a notable current trend is leaning towards flat-rate pricing. In the previous year, Germany introduced a flat-rate ticket, enabling individuals to access public transportation across the entire country for just 9 euros per...

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...

Congestion is a widespread phenomenon in two-sided markets, but evidence on its costs and benefits is limited. Using data from an online dating platform, we document a large excess demand, or congestion, for some women. By exploiting exogenous variation in the number of men and women using the...

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...

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...

Free-floating car-sharing (FFCS) services allow users to rent electric vehicles by the minute without restrictions on pick-up or drop-off locations within the service area of the rental company. Beyond enlarging the choice set of mobility options, FFCS may reduce congestion and emissions in...

This paper introduces a type of circular causation called Congestive Mode-Switching (CMS) that may arise when an increase in congestion penalizes transit relative to driving. If demand is also elastic, rising congestion persuades some transit riders to drive, which exacerbates congestion...

The ongoing transformation of the energy system challenges the electricity grids throughout Europe, increasing the costs of congestion management. Because the interconnected electricity grids are operated by many different grid operators, fairly allocating these costs is essential. A...

R&D investment spending exhibits a delayed and hump-shaped response to shocks. We show in a simple partial equilibrium model that rapidly adjusting R&D investment is costly if the probability of converting new hires into productive R&D workers (“onboarding”) is decreasing in the number of...

Congestion is one of the most challenging issues of urban agglomeration. Congestion costs are higher than socially optimal levels, and little is known about the key parameters needed to design optimal policies. This paper exploits an exogenous reduction in for-hire vehicle supply in New York...