This paper estimates growth-maximizing levels of public capital and investment across countries using a structural framework that accounts for three critical features: public investment efficiency, human capital levels, and congestion effects. A harmonized panel data set covering 166 countries...

This paper proposes a game-theoretic model to analyze the strategic behavior of inc-dec gaming in market-based congestion management (redispatch). We extend existing models by considering incomplete information about competitors’ costs and a finite set of providers. We find that inc-dec gaming...

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...

I study the efficient design of a queue to dynamically allocate a scarce resource to long‐lived agents. Agents can be served multiple times, and their valuations fluctuate over time with some persistence. Each agent privately learns whether his prevailing valuation is high or low only when...

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...

This paper uses principal component analysis (PCA) to identify bottlenecks to effective public investment management in LIDCs. The paper describes the current state of affairs regarding public investment and public investment management in LIDCs, drawing on the results of IMF Public Investment...

The power exchange and the real-time markets used by the system operator differ in how system constraints are managed. This can result in regulatory arbitrage, which can increase consumer costs, increase the risk of power outages and distort investment incentives. This paper uses a...

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...

Highly volatile, uncertain, complex and ambiguous environments (VUCA) complicate and condition project management. With the emergence of agile project management, it is proposed to co-construct it with the client's active participation. Two used agile methodologies are Scrum and Kanban. Scrum is...

In early 2024, the European Commission proposed a 90% emissions reduction target for the year 2040 in reference to the year 1990. Achieving this target largely relies on the deployment of distributed renewable generation. Currently the deployment of renewable capacity is mostly focusing on...

In early 2024, the European Commission has proposed a climate target of 90% emissions reduction by 2040. The associated scenarios are relying heavily on the deployment of variable renewables, such as wind and solar PV. Deployment that focuses on resource-rich areas - where wind and solar...

In this paper, we examine the class of congestion games with player-specific payoff functions introduced by Milchtaich, I. (1996). Focusing on the special case of two resources, we give a short and simple method for identifying all Nash equilibria in pure strategies. We also provide a...

Empirical evidence on the potential impacts of generative artificial intelligence (GenAI) is mostly focused on high-income countries. In contrast, little is known about the role of this technology on the future economic pathways of developing economies. This paper contributes to fill this gap by...

We examine the economic and environmental impacts of improvements and disruptions in multimodal transport networks. Our quantitative spatial equilibrium model incorporates routing over multiple modes and congestion at intermodal terminals. We estimate a modal substitution elasticity with highway...

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...