Professor Bertvan Wee in Transport Policy works at Delft University of Technology Faculty of Technology, Policy and Management, The Netherlands. Winnie Daamen is an Associate Professor in Traffic Operations and Management in Delft University of Technology’s Department of Transport & Planning. Her research includes active modes, including pedestrian and cycling traffic. She is currently working on active modes for the Allegro project, a focus of the European Horizon2020 project about slow traffic modes (pedestrians, bicycles). She specializes in data collection, and data analysis to gain insight into traffic participant behavior and modelling these behaviors. She is a member of the steering committee for the Ninth International Conference on Pedestrian and Evacuation Dynamics (2018). She has published extensively, including in Elsevier’s Transportation Research Part C: Emerging Technologies, and Journal of Choice Modeling Serge Hoogendoorn is a Distinguished Professor of Smart Urban Mobility in the Transport & Planning Department at Delft University of Technology (Netherlands). He is also an Honorary Professor in the School of Transportation at South East University (China), and holds a distinguished research fellow position at the Research Institute of Highway (China). He is a partner in the Amsterdam Institute of Advanced Metropolitan Solutions, and a staff member of the TRAIL Research School on Transport and Logistics at DUT. His current research features smart urban mobility, with focal areas such as theory, modelling, and simulation of traffic and transportation networks, including cars, pedestrian, cyclists and novel public transport services, development of methods for integrated management of these networks, and impact of uncertainty of travel behaviour and network operations. He has authored more than 300 journal articles, including in Elsevier’s Transportation Part C: Emerging Technologies.

• 1. IntroductionSerge Hoogendoorn2. Walkability (tbd)3. Pedestrian flow and crowd operations variablesSerge Hoogendoorn4. Data collection in the field and controlled experimentsWinnie Daamen and Yan Feng5. Empirical facts and fundamental relation in pedestrian flowJuliane Adrian, Ann Katrin Boomers and Sarah Paetzke6. Human factorsC. Natalie van der Wal, Erica Kinkel and Mark Robinson7. Data driven models and simulationWinnie Daamen, Dorine Duives and Serge Hoogendoorn8. Macroscopic models, properties and simulationCecile Appert-Rolland and Alethea Barbaro9. Pedestrian choice behaviourDorine Duives10. Model calibration and validationDorine Duives and Martijn Sparnaaij11. Model application guidelinesTobias Kretz, Tim Meyer-König, Enrico Ronchi, Emmet Ruxton and Meead Saberi12. Applications in crowd managementDorine Duives and Arco van Beek13. Overall synthesis and conclusionsWinnie Daamen, Dorine Duives and Serge Hoogendoorn

Professor Bertvan Wee in Transport Policy works at Delft University of Technology Faculty of Technology, Policy and Management, The Netherlands. Winnie Daamen is an Associate Professor in Traffic Operations and Management in Delft University of Technology’s Department of Transport & Planning. Her research includes active modes, including pedestrian and cycling traffic. She is currently working on active modes for the Allegro project, a focus of the European Horizon2020 project about slow traffic modes (pedestrians, bicycles). She specializes in data collection, and data analysis to gain insight into traffic participant behavior and modelling these behaviors. She is a member of the steering committee for the Ninth International Conference on Pedestrian and Evacuation Dynamics (2018). She has published extensively, including in Elsevier’s Transportation Research Part C: Emerging Technologies, and Journal of Choice Modeling Serge Hoogendoorn is a Distinguished Professor of Smart Urban Mobility in the Transport & Planning Department at Delft University of Technology (Netherlands). He is also an Honorary Professor in the School of Transportation at South East University (China), and holds a distinguished research fellow position at the Research Institute of Highway (China). He is a partner in the Amsterdam Institute of Advanced Metropolitan Solutions, and a staff member of the TRAIL Research School on Transport and Logistics at DUT. His current research features smart urban mobility, with focal areas such as theory, modelling, and simulation of traffic and transportation networks, including cars, pedestrian, cyclists and novel public transport services, development of methods for integrated management of these networks, and impact of uncertainty of travel behaviour and network operations. He has authored more than 300 journal articles, including in Elsevier’s Transportation Part C: Emerging Technologies.

• 1. IntroductionSerge Hoogendoorn2. Walkability (tbd)3. Pedestrian flow and crowd operations variablesSerge Hoogendoorn4. Data collection in the field and controlled experimentsWinnie Daamen and Yan Feng5. Empirical facts and fundamental relation in pedestrian flowJuliane Adrian, Ann Katrin Boomers and Sarah Paetzke6. Human factorsC. Natalie van der Wal, Erica Kinkel and Mark Robinson7. Data driven models and simulationWinnie Daamen, Dorine Duives and Serge Hoogendoorn8. Macroscopic models, properties and simulationCecile Appert-Rolland and Alethea Barbaro9. Pedestrian choice behaviourDorine Duives10. Model calibration and validationDorine Duives and Martijn Sparnaaij11. Model application guidelinesTobias Kretz, Tim Meyer-König, Enrico Ronchi, Emmet Ruxton and Meead Saberi12. Applications in crowd managementDorine Duives and Arco van Beek13. Overall synthesis and conclusionsWinnie Daamen, Dorine Duives and Serge Hoogendoorn

Professor Bertvan Wee in Transport Policy works at Delft University of Technology Faculty of Technology, Policy and Management, The Netherlands. Winnie Daamen is an Associate Professor in Traffic Operations and Management in Delft University of Technology’s Department of Transport & Planning. Her research includes active modes, including pedestrian and cycling traffic. She is currently working on active modes for the Allegro project, a focus of the European Horizon2020 project about slow traffic modes (pedestrians, bicycles). She specializes in data collection, and data analysis to gain insight into traffic participant behavior and modelling these behaviors. She is a member of the steering committee for the Ninth International Conference on Pedestrian and Evacuation Dynamics (2018). She has published extensively, including in Elsevier’s Transportation Research Part C: Emerging Technologies, and Journal of Choice Modeling Serge Hoogendoorn is a Distinguished Professor of Smart Urban Mobility in the Transport & Planning Department at Delft University of Technology (Netherlands). He is also an Honorary Professor in the School of Transportation at South East University (China), and holds a distinguished research fellow position at the Research Institute of Highway (China). He is a partner in the Amsterdam Institute of Advanced Metropolitan Solutions, and a staff member of the TRAIL Research School on Transport and Logistics at DUT. His current research features smart urban mobility, with focal areas such as theory, modelling, and simulation of traffic and transportation networks, including cars, pedestrian, cyclists and novel public transport services, development of methods for integrated management of these networks, and impact of uncertainty of travel behaviour and network operations. He has authored more than 300 journal articles, including in Elsevier’s Transportation Part C: Emerging Technologies.

• 1. IntroductionSerge Hoogendoorn2. Walkability (tbd)3. Pedestrian flow and crowd operations variablesSerge Hoogendoorn4. Data collection in the field and controlled experimentsWinnie Daamen and Yan Feng5. Empirical facts and fundamental relation in pedestrian flowJuliane Adrian, Ann Katrin Boomers and Sarah Paetzke6. Human factorsC. Natalie van der Wal, Erica Kinkel and Mark Robinson7. Data driven models and simulationWinnie Daamen, Dorine Duives and Serge Hoogendoorn8. Macroscopic models, properties and simulationCecile Appert-Rolland and Alethea Barbaro9. Pedestrian choice behaviourDorine Duives10. Model calibration and validationDorine Duives and Martijn Sparnaaij11. Model application guidelinesTobias Kretz, Tim Meyer-König, Enrico Ronchi, Emmet Ruxton and Meead Saberi12. Applications in crowd managementDorine Duives and Arco van Beek13. Overall synthesis and conclusionsWinnie Daamen, Dorine Duives and Serge Hoogendoorn