Gaps in knowledge – current state-of-the-art; limitations of current work | The PASTA approach – what we add |
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Few multi-centre studies in Europe with comparable research designs. | One study design is applied in seven PASTA cities (Antwerp, Barcelona, London, Oerebro, Rome, Vienna, Zurich). |
Most studies on correlates of AM are cross-sectional. | Longitudinal approach, online survey with long baseline questionnaire and frequent short follow-ups, continuous recruitment over two years. |
Often small sample sizes. | Targeted sample size of 14000 respondents across seven cities, number of submitted questionnaires per city > 5000. |
Current studies are conducted either with methods from public health (over-simplified picture of travel behaviour, no motorised trips) or from transport research (no leisure time PA, proportion of recreational PA in leisure trips unclear). | PASTA takes an interdisciplinary approach with a systematic combination of methods from public health (modified GPAQ) and transport research (travel diary) for comprehensive data collection on AM and PA. |
The relative importance of various correlates of individual AM behaviour is poorly understood, few studies comprehensively assess the wide range of factors which affect AM and PA. | Data collection and analysis based on a broad conceptual framework reflecting geographical, utilitarian and psychological factors, as well as data hierarchies (aggregation levels). |
Contextual factors are usually not taken into account in quantitative analyses. | Systematic combination of qualitative and quantitative methods, with a major longitudinal web-based survey, expert interviews, stakeholder workshops, compilation of city indicators on AM, PA, and contextual factors. Qualitative data is integrated in quantitative analyses. |
Substitution behaviour is poorly understood. | Multiple, repeated parallel assessments of AM and PA allow for quantification of substitution behaviour in the short and longer term. We will advance the field by also using real tracked data [50]. |
Few studies exist on the evaluation of AM measures. | Evaluation of top measures in the PASTA cities - infrastructure investments and built environment changes, such as bicycle racks and a dedicated cycling bridge; soft measures such as workplace mobility management and individual marketing. |
Self-reported estimates of PA and AM are often not validated. | Validation of self-reported data on levels of PA and AM on subsamples collecting objective data using accelerometers, smartphone tracking apps, GPS loggers. |
Lack of real-life studies on combined health effects of air pollution and PA – especially multi-centre studies are missing. | In three cities, exposure to air pollution and PA is assessed under real-life conditions. A multitude of non-invasive health biomarkers are repeatedly measured in 120 volunteers. |
Air pollution exposure while traveling is largely unknown or ignored by using fixed monitoring stations. | Mobile sensors are used for air pollution, PA and travel behaviour. Not only exposure, but also inhaled dose is taken into account (especially relevant for AM). |
Underreporting of minor AM crashes and near misses. | Integration of questions about AM crashes and near misses into the core module of the PASTA longitudinal survey. |
Crash risk for walking and cycling is based on cross-sectional counts of fatal/reported accidents. | Exposure-adjusted crash risk (including near misses) using a longitudinal study design. |