Lv
L. van Schaik
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2 records found
1
Understanding physical distancing compliance behaviour using proximity and survey data
A case study in the Netherlands during the COVID-19 pandemic
Journal article
(2024)
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Lucia Van Schaik, Dorine Duives, Sascha Hoogendoorn-Lanser, Jan Willem Hoekstra, Winnie Daamen, Alexandra Gavriilidou, Panchamy Krishnakumari, Marco Rinaldi, Serge Hoogendoorn
Physical distancing has been an important asset in limiting the SARS-CoV-2 virus spread during the COVID-19 pandemic. This study aims to assess compliance with physical distancing and to evaluate the combination of observed and self-reported data used. This research shows that it is difficult to operationalize new rules, that context affects compliance, that there needs to be a need for compliance, and that rules require upkeep. From a methodological point of view, this study found that the combined methods provide a comprehensive picture of compliance behaviour, that it is challenging but essential to mitigate response fatigue in long-term monitoring studies, and that it would be interesting in future research to learn how actual behaviour is influenced by personal narratives.
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Physical distancing has been an important asset in limiting the SARS-CoV-2 virus spread during the COVID-19 pandemic. This study aims to assess compliance with physical distancing and to evaluate the combination of observed and self-reported data used. This research shows that it is difficult to operationalize new rules, that context affects compliance, that there needs to be a need for compliance, and that rules require upkeep. From a methodological point of view, this study found that the combined methods provide a comprehensive picture of compliance behaviour, that it is challenging but essential to mitigate response fatigue in long-term monitoring studies, and that it would be interesting in future research to learn how actual behaviour is influenced by personal narratives.
Master thesis
(2020)
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Lucia van Schaik, Serge Hoogendoorn, Dorine Duives, Jan Anne Annema, Rik Schakenbos
Understanding pedestrian traffic is essential to design for safe and reliable pedestrian infrastructures, facilities and operations. For the assessment and design of pedestrian transfer areas at stations capacity standards for uni- and bidirectional flows are applied. It has been observed that, at railway stations, also other configurations of flows occur, such as intersecting flows at different angles (e.g. intersections between transfer areas and stairs/escalators or shops). In contrast to uni- and bidirectional flows, for which many researches have quantitatively studied the pedestrian flow characteristics, only little research has been done to intersecting flows. The purpose of this research is to gain insight into how the flow capacity of a pedestrian intersection at a railway station is influenced by several factors and to explore methods that can estimate the flow capacity of a pedestrian intersection. A theoretical framework has been constructed that shows the hypothesized causal relations between the research topic - intersection flow capacity - and several variables that describe the context of this study. Furthermore, three capacity estimation methods were proposed to estimate the flow capacity of a pedestrian intersection. According to the field study, the second and third method both seem suitable for capacity estimations, even though the intersection flow capacity (according to the traffic flow principles) could not be estimated in this study. Several recommendations have been made for future research, including points of improvement regarding the the studied methods, directions for research focus and the usability of the findings in this study.
...
Understanding pedestrian traffic is essential to design for safe and reliable pedestrian infrastructures, facilities and operations. For the assessment and design of pedestrian transfer areas at stations capacity standards for uni- and bidirectional flows are applied. It has been observed that, at railway stations, also other configurations of flows occur, such as intersecting flows at different angles (e.g. intersections between transfer areas and stairs/escalators or shops). In contrast to uni- and bidirectional flows, for which many researches have quantitatively studied the pedestrian flow characteristics, only little research has been done to intersecting flows. The purpose of this research is to gain insight into how the flow capacity of a pedestrian intersection at a railway station is influenced by several factors and to explore methods that can estimate the flow capacity of a pedestrian intersection. A theoretical framework has been constructed that shows the hypothesized causal relations between the research topic - intersection flow capacity - and several variables that describe the context of this study. Furthermore, three capacity estimation methods were proposed to estimate the flow capacity of a pedestrian intersection. According to the field study, the second and third method both seem suitable for capacity estimations, even though the intersection flow capacity (according to the traffic flow principles) could not be estimated in this study. Several recommendations have been made for future research, including points of improvement regarding the the studied methods, directions for research focus and the usability of the findings in this study.