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Time series modelling of mobility trends, 1999-2022
Discussion paper about a method to estimate detailed mobility trends corrected for discontinuities
Validation and calibration of traffic estimations
Discussion paper about a method to improve estimates of traffic intensity.
Time series modelling of mobility trends, 1999-2021
Discussion paper about a method to estimate detailed mobility trends corrected for discontinuities
Time series modelling of mobility trends, 1999-2020
Discussion paper about a method to estimate detailed mobility trends corrected for discontinuities due to redesigns
Innovating statistics with data challenges
The end of last year saw the second edition of the Big Data Meets Survey Science conference online: the BigSurv20.
Time series modeling of mobility trends – update 2020
Discussion paper about a method to estimate detailed mobility trends corrected for discontinuities due to redesigns
The year of coronavirus
2020 was the year of coronavirus. To what extent was 2020 different from 2019?
Multilevel time series modeling of mobility trends
Discussion paper about a method to estimate detailed mobility trends corrected for discontinuities due to redesigns.
A model for crowded tubes in Rotterdam
whether big data could be used to estimate the level of crowdedness on the RET’s E line tube
First Rural Data Centre launched
For the local community, this means more policy customisation and an improved public service
Urban Data Centre launched for Groningen region
CBS and Groningen city are launching joint activities involving the collection, processing and presentation of data
Transport and mobility 2016
Many aspects of mobility and goods transport are addressed.
Combining data sources to gain new insights in mobility
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...
SDG 9.1 Infrastructure and mobility
Latest data on Sustainable Development Goal (SDG) 9 Industry, innovation and infrastructure: infrastructure and mobility. SDG 9.1 addresses provisions to transport people and information...
Inferring network traffic from sensors without a sampling design
The use of non-probability data as a primary data source in official statistics is currently an active field of research.
SDG 9.1 Infrastructure and mobility
Latest data on Sustainable Development Goal (SDG) 9 Industry, innovation and infrastructure: infrastructure and mobility. SDG 9.1 addresses provisions to transport people and information...
More insight into mobility with the doughnut map
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.
Towards motives behind mobility
Innovative product: Towards motives behind mobility
Correcting survey measurement with road sensor data
Time-based diary surveys collect data over specified time intervals and impose a heavy response burden.
Extracting data on road network transportation from sensor data without sample design
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...