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Considering geospatial factors is becoming increasingly prominent in many statistical domains. Given the nature of transport statistics, concerning being able to identify and visualize the movement of goods and passengers between different regions is of particular relevance. This page shares a few examples of existing sources for these data at the international level, principally UNECE censuses and Eurostat regional data, and techniques for visualising them. Transport statisticians with relevant examples from national statistics offices or other sources are invited to contact the secretariat.
Background and Resources
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The script files used are available for download at XXXon request. The scripts are written in a way that should allow any user to run them and recreate the same maps. If a user is new to R, then each library referenced at the start of each script will need to be installed (only once). E.g.
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There are national-level international rail journey datsets available, but this regional dataset has the benefit of collecting information from both the origin and destination country, which means that less data are unavailable due to confidentiality (as long as one country publishes the figures, then they are visible). Data can thus be visualised, but given the large number of connections with very small numbers of passengers, some filtering makes sense. The picture below shows a map with all flows greater than 100,000 passengers a year. The map shows, for example, interesting difference sin traffic between France, where most flows connect with Paris, and Germany, where the flows are much more spread out between multiple large cities.
This map can be browsed in an interactive format at https://rpubs.com/BlackburnStat/689627.
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These data can be similarly processed and be used to create a map of rail freight. This map can be browsed at https://rpubs.com/BlackburnStat/690015
Inland Water Freight
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