Abstract

Increasing digitisation and connectivity generates information that can be used to produce statistical indicators on transport and mobility, complementing, or partly replacing traditional surveys and currently used data collection methods. The resulting indicators may also have the advantage of better comparability and timeliness and reduced cost of data collection, offering complementary options for reducing reporting burden in monitoring transport and mobility patterns with statistics. Furthermore, the use of innovative data can lead to new indicators on transport that are not possible to be produced with surveys. Identifying possible innovative and new data sources that may be used for transport statistics, accessing specimen data to analyse relevant variables, and developing methodologies to explore the potential of new data are the first steps for the production of experimental statistics. Furthermore, benchmarking results with available statistical data where possible, is a way of ensuring robust indicators. The grouping of innovative data in line with statistical classifications used in transport is one of the main challenges in exploring the potential of new data sources. This session will present projects using innovative data and technologies to produce transport indicators in the European context.