Air quality and transport behaviour: sensors, field, and survey data from Warsaw, Poland

The present study describes the data sets produced in Warsaw, Poland with the aim of developing tools and methods for the implementation of human-centred and data-driven solutions to the enhancement of sustainable mobility transition. This study focuses on school commutes and alternatives to private cars for children drop off and pick up from primary schools. The dataset enables the complex analysis of interactions between determinants of transport mode choice, revealed choices, and air quality impact. We draw on four data collection methods, namely, (i) air quality and noise sensors' measurements, (ii) in-person observations of transport behaviours, (iii) travel diaries, and (iv) social surveys. Moreover, all trip data from travel diaries are complemented with the calculated attributes of alternative travel modes. The data produced in the project can be also combined with publicly available information on air quality, public transport schedules, and traffic flows. The present data sets help to open new venues for interdisciplinary analyses of sustainable mobility transition effectiveness and efficiency.

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Publication Details

Journal
Scientific Data
Published
2024-11-29
DOI
https://doi.org/10.1038/s41597-024-04111-4
Citations
2
Primary Topic
Air Quality Monitoring and Forecasting
Type
article
Field-Weighted Citation Impact
0.41

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article

Air quality and transport behaviour: sensors, field, and survey data from Warsaw, Poland

Pål Wilter Skedsmo, Michał Jakubczyk, Jakub Zawieska, Anna Nicińska et al.
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Scientific Data
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article

Air quality and transport behaviour: sensors, field, and survey data from Warsaw, Poland

Pål Wilter Skedsmo, Michał Jakubczyk, Jakub Zawieska, Anna Nicińska, Michał Wolański, Maciej Grzenda, Gabriela Sousa Santos, Arkadiusz Drabicki, Marcin Luckner, Henrik Grythe, Joanna Rachubik, Katarzyna Zagórska, Núria Castell, Ewa Zawojska, Katarzyna Archanowicz-Kudelska, Amirhossein Hassani, Paweł Góra, Magdalena Kubecka, Satia Rożynek, Szymon Horosiewicz, Grzegorz Kula, Joanna Jaczewska
article en
2 citations

Abstract

The present study describes the data sets produced in Warsaw, Poland with the aim of developing tools and methods for the implementation of human-centred and data-driven solutions to the enhancement of sustainable mobility transition. This study focuses on school commutes and alternatives to private cars for children drop off and pick up from primary schools. The dataset enables the complex analysis of interactions between determinants of transport mode choice, revealed choices, and air quality impact. We draw on four data collection methods, namely, (i) air quality and noise sensors' measurements, (ii) in-person observations of transport behaviours, (iii) travel diaries, and (iv) social surveys. Moreover, all trip data from travel diaries are complemented with the calculated attributes of alternative travel modes. The data produced in the project can be also combined with publicly available information on air quality, public transport schedules, and traffic flows. The present data sets help to open new venues for interdisciplinary analyses of sustainable mobility transition effectiveness and efficiency.

Scientific DataVol. 11(1)
Warsaw University of Technology (PL), Kozminski University (PL), Medical University of Lublin (PL), SGH Warsaw School of Economics (PL), Foundation for Polish Science (PL), Fridtjof Nansen Institute (NO), University of Gdańsk (PL), Cracow University of Technology (PL), Lublin Oncology Center (PL), University of Warsaw (PL), Technical University of Munich (DE)
Narodowe Centrum Badań i Rozwoju, EEA Grants
Openalex Percentile: Top 40%
Air Quality Monitoring and Forecasting
0.41
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