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Big data has received increasing attention across several disciplines in recent years. In official statistics, big data potentially enables us to produce statistics cheaper, faster, and on a higher...

Discussion paper about a method to estimate detailed mobility trends corrected for discontinuities due to redesigns.

whether big data could be used to estimate the level of crowdedness on the RET’s E line tube

Innovative product: Towards motives behind mobility

Time-based diary surveys collect data over specified time intervals and impose a heavy response burden.

For the local community, this means more policy customisation and an improved public service

The use of non-probability data as a primary data source in official statistics is currently an active field of research.

Discussion paper about a method to improve estimates of traffic intensity.

Discussion paper about a method to estimate detailed mobility trends corrected for discontinuities

Many aspects of mobility and goods transport are addressed.

Discussion paper about a method to estimate detailed mobility trends corrected for discontinuities due to redesigns

Discussion paper about a method to estimate detailed mobility trends corrected for discontinuities due to redesigns

The end of last year saw the second edition of the Big Data Meets Survey Science conference online: the BigSurv20.

CBS and Groningen city are launching joint activities involving the collection, processing and presentation of data

This paper describes how multiple data sources that relate to mobility in the city of Rotterdam were combined to create a model for scenario analysis. Sources originate from RET, Gemeente Rotterdam...

Statistics Netherlands, in collaboration with the University of Oxford, developed a new visualisation method to gain insight into mobility. This method has been applied to data on jobs of employees.

2020 was the year of coronavirus. To what extent was 2020 different from 2019?