Collect data on transportation infrastructure crossing international borders


We are asking for software to create a database of all contiguous countries and the number of boarder crossing points accessible by cargo carrying vehicles.

The database will list the contiguous country dyad (for example the U.S. and Mexico) followed by the number of crossing broken into the following categories:

1. Primary Roads

-- Such as: Highways, Freeways, Multiple lanes

2. Secondary Roads

-- Such as: Local roads

3. Rail Roads

4. Canals

5. Rivers

6. Shared villages and cities

-- Defined by: Large population densities through which a border passes

We are open to many approaches, so long as the data source is reliable and reproducible. We are also very open to modifying the requirements if some seem infeasible.

A possible source could be Google Maps/Earth. The software could trade the boarder of a country, counting crossings by type and noting with which country they cross into. However using this approach or source is certainly not a requirement.

Please indicate the source and approach you would take to develop such software.

Skills: .NET, Anything Goes, Google Earth, Javascript, Python

See more: primary data, Roads, Rail, python data, international trade, database population, collect data, cargo, google earth develop, open source trade, google develop python, database cargo, google open data, python develop, list villages, python collect data, offline data entry work reliable, python multiple, cargo javascript, population database, rail database, country list villages, data source, list vehicles, trade data

About the Employer:
( 55 reviews ) United States

Project ID: #4271559

15 freelancers are bidding on average $2583 for this job


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(30 Reviews)

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$5000 USD in 60 days
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