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Balkan, Büsra Atamer (author), Chang, You (author), Sparnaaij, M. (author), Wouda, B.J. (author), Boschma, D. (author), Yuan, Y. (author), Daamen, W. (author), van Veen, A.J. (author), Duives, D.C. (author)
SARS-CoV-2 transmission in indoor spaces, where most infection events occur, depends on the types and duration of human interactions, among others. Understanding how these human behaviours interface with virus characteristics to drive pathogen transmission and dictate the outcomes of non-pharmaceutical interventions is important for the...
journal article 2024
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Yuan, Y. (author), Wang, Kaiyi (author), Duives, D.C. (author), Hoogendoorn, S.P. (author), Hoogendoorn-Lanser, S. (author), Lindeman, Rick (author)
Data-driven approaches are helpful for quantitative justification and performance evaluation. The Netherlands has made notable strides in establishing a national protocol for bicycle traffic counting and collecting GPS cycling data through initiatives such as the Talking Bikes program. This article addresses the need for a generic framework to...
journal article 2023
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Sparnaaij, M. (author), Yuan, Y. (author), Daamen, W. (author), Duives, D.C. (author)
The Covid-19 pandemic has had a large impact on the world. The virus spreads especially easily among people in indoor spaces such as restaurants. Hence, tools that can assess how different restaurant settings can impact the potential spread of an airborne virus and that can assess the effectiveness of mitigation policies are of high value....
journal article 2023
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Daamen, W. (author), Yuan, Y. (author), Duives, D.C. (author), Hoogendoorn, S.P. (author)
Nowadays, many large scale events are organised in urban areas that are not designed to accomodate these large visitor flows, as not only the sheer number of people is larger than anticipated, but also their behaviour is different. For a timely deployment of crowd management measures, continuous information on the real-time traffic state on the...
conference paper 2016
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Hoogendoorn, S.P. (author), Daamen, W. (author), Duives, D.C. (author), Yuan, Y. (author)
Determining travel time information from Wi-Fi (or Bluetooth) sensors is not trivial due to various (often technical) reasons. In this contribution, we focus on the problem of distinguishing travel time from the time people spend performing activities (e.g. fuelling the car, standing still to watch the scenery, buying a train ticket). More...
conference paper 2016
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