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Predicting trip purpose in a smartphone‐based travel survey

Population‐wide travel surveys are conducted to investigate individuals’ patterns of traveling. These surveys are often burdensome. The widespread use of smartphones allows for the collection of trip data without relying on traditional travel survey …

Stats in a wrap podcast ep26: 'Collaboration with universities and statistical innovation'

In this episode of Eurostat’s Stats in a Wrap podcast we investigate how partnering with academia drives statistical innovation that makes data gathering smarter, faster and more effective. Our guests reveal how collaboration between universities and statistical institutes in EU countries is transforming the way data are collected and processed. From using smartphones to simplify surveys to utilising AI for faster analysis and error detection, innovation is reshaping official statistics.

Statistics Netherlands data innovation network

The 'WIN' project was set up in 2016 and had the goal to design and test innovative data collection strategies in social research. WIN stands for 'Waarneem Innovatie Netwerk', which in english means 'Data collection Innovation Network. The project was set up as a collaborative project between the data quality group at Utrecht University, and Statistics Netherlands. The focus of the project was on how to use mobile phones and wearable devices to improve the collection of human behavior data, and improve official statistics. We have developed our own open-source smartphone app system, and published many articles. The project was finished after 10 successful years in 2025.

Can Smart Surveys Have a Positive Business Case? An Evaluation Based on Three Case Studies

The emergence of smart devices, in particular mobile devices, has widened the potential types of data that can be collected in the social sciences. Given the fact that traditional surveys require more and more effort, new data sources collected via …

Smart Survey Implementation WP2 deliverable M24: smart advanced stage.

The goal of the WP2 ‘Methodology’ workpackage of the Smart Survey Implementation project (SSI) is to find out what general methodological elements trusted smart surveys should have so that they can be used in statistical production by European NSIs. …

Dynamic Time Warping-based imputation of long gaps in human mobility trajectories

Individual mobility trajectories are difficult to measure and often incur long periods of missingness. Aggregation of this mobility data without accounting for the missingness leads to erroneous results, underestimating travel behavior. This paper …

Smart Survey Implementation WP2 deliverable M14: smart baseline stage.

The goal of the WP2 ‘Methodology’ workpackage of the Smart Survey Implementation project (SSI) is to find out what general methodological elements trusted smart surveys should have so that they can be used in statistical production by European NSIs. …

Smart Survey Implementation WP2 deliverable M6: review stage.

Smart surveys have emerged as a promising data collection method, bridging the gap between traditional survey techniques and modern technological advancements. The key characteristic of smart surveys is that they intelligently combine the use of …

Data Linkage to Validate and Calibrate Traffic Estimations on a Nationwide Scale: A Framework for Official Statistics

Traffic estimation is an important area in official statistics and is used by policymakers in their decision-making process for regional planning. This paper describes a framework that relies on combining large amounts of data from traffic loop …

Pictures instead of survey questions: An experimental investigation of the feasibility of using pictures in a housing survey

Anyone with a smartphone can take pictures anytime anywhere. This opens the opportunity for researchers to collect photos to augment traditional Web survey data. We conducted an experimental survey asking 2700 members of the Dutch LISS panel about …