OPTNETSPACE SIGNED
Optimal Transport Networks in Spatial Equilibrium
Total Cost €
0EC-Contrib. €
0Partnership
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0OPTNETSPACE project word cloud
Explore the words cloud of the OPTNETSPACE project. It provides you a very rough idea of what is the project "OPTNETSPACE" about.
Project "OPTNETSPACE" data sheet
The following table provides information about the project.
| Coordinator |
Centre de Recerca en Economia Internacional (CREI)
Organization address contact info |
| Coordinator Country | Spain [ES] |
| Total cost | 887˙500 € |
| EC max contribution | 887˙500 € (100%) |
| Programme |
1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC)) |
| Code Call | ERC-2018-STG |
| Funding Scheme | ERC-STG |
| Starting year | 2019 |
| Duration (year-month-day) | from 2019-01-01 to 2023-12-31 |
Partnership
Take a look of project's partnership.
| # | ||||
|---|---|---|---|---|
| 1 | Centre de Recerca en Economia Internacional (CREI) | ES (BARCELONA) | coordinator | 887˙500.00 |
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Project objective
Every year, the world economy invests a large amount of resources to improve or develop transport infrastructure. How should these investments be allocated to maximize social welfare? In this proposal, I propose to develop and apply new methods to study optimal transport networks in general-equilibrium models of international trade, urban economics and economic geography. The methodology will build on recent work (Fajgelbaum and Schaal, 2017), in which my coauthor and I studied the network design problem in a general neoclassical trade framework.
In the first project, I develop a new framework to analyze optimal infrastructure investment in an urban setting. The model features people commuting between residential areas and business districts as well as a choice over the mode of transportation. We plan to evaluate the framework to historical data about specific cities.
In the second project, I propose and implement an new algorithm to compute optimal transport networks in the presence of increasing returns to transport, a likely prominent feature of real-world networks. The algorithm applies a branch-and-bound method in a series of geometric programming relaxations of the problem.
In the third project, I study the dynamic evolution of actual transport networks using satellite data from the US, India and Mexico. In the spirit of Hsieh and Klenow (2007), I use the model to measure distortions in the placement of roads between rich and poor countries.
In the fourth project, I study the inefficiencies and welfare losses associated with political economy frictions among governments and planning agencies. I use the model to identify inefficiencies and relate them to measures of institutions and political outcomes.
In the final project, I propose a new explanation behind the Zipf’s law distribution of city sizes. I show that Zipf’s law may result from particular topological properties of optimal transport networks that allocate resources efficiently in space.
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The information about "OPTNETSPACE" are provided by the European Opendata Portal: CORDIS opendata.