What is novel in our approach to the data on school commutes?

1. We provide a variety of information that rarely is available simultanously. Specifically, we release data on:

• air quality (PM_2.5, PM₁₀, O₃, NO₂ from low-cost sensors and passive samplers), noise, and meteorology in the vicinity of three primary schools in Warsaw, PL
• in situ observations of behaviours during school commutes, including detailed information on idling, manouvring, and parking  of drivers delivering to and picking up children from schools 
• reported behaviours, socio-economic characteristics, household structure, car ownership, attitudes, and beliefs of respondents with children attending the examined schools
• travel mode choices made by the surveyed parents accompanied with all the available alternative transport routes for actual time, origin, and destination of each reported travel 

Data collection design:

2. We allow to extend state-of-the arts analyses by combining the datasets, for example:

• add observed in person idling behaviours (COMOB-T) to the simulations in the environmental model for Warsaw as released in Grythe et al. 2024
• modify demand function in the official traffic model for Warsaw based on the findings from the travel mode choice (COMOB-M)
• combine car ownership, subjective beliefs, and attitudes (COMOB-P) with the public transport features (COMOB-M) in explaining decisions to use a bicycle as a transport mode
• explore differences in school commutes (COMOB-P) and air quality (COMOB-A, S, N) in one Central European country's capitol with other cities over the world

3. Our CoMobility team comprised of specialists in physics, chemistry, computer sciences, transport engeneering,  economics, sociology, antropology, and psychology had worked over three years to release these data, hoping other resaerchers will continue the multi-disciplinary analyses.

Would you like to learn more on the communities described by our data?

Have a look at the expertise of children from the school communities we collaborated with:

Who can use the data?

Anyone can access the data using the figshare link: https://figshare.com/projects/Co-Designing_Inclusive_Mobility_CoMobility/193442.