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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. …

Comparison of ESS rounds 9 and 10: mode differences

One of the major problems in estimating the mode measurement effect in (mixed-mode) surveys is that isolation of the causal effect of mode on measurement is difficult due to the fact that selection and measurement effects are (potentially) …

ESS round 10 mode experiments in Great Britain and Finland. Findings on mode effects

One of the major problems in estimating the mode measurement effect in (mixed-mode) surveys is that isolation of the causal effect of mode on measurement is difficult due to the fact that selection and measurement effects are (potentially) …

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 …

Automatic Travel Mode Prediction in a National Travel Survey

Goal: Showing the feasibility of automatic travel mode prediction using smartphone location data in a national travel survey. Data collection: In the fall of 2018, 1,902 respondents were randomly sampled from the Dutch population to participate in a …