Smart City Dordrecht: Identification of Pedestrian Movement Patterns with Wi-Fi Tracking Sensors

Wi-Fi tracking technology has entered an age of advancement and is in demand for identifying places of usage demand, discover movement patterns, reconstruct flows and identify parabolic patterns flow and density. For this project, passive Wi-Fi tracking was used to track visitors of the City of Dordrecht and gain insight and perspective of their movement patterns as requesed by the Municipality of Dordrecht for their „Smart City Dordrecht‟ initiative. The focus area of our research is the City of Dordrecht which includeds the streets Sarisgang, Kolfstraat, Voorstraat, and Visstraat. These streets are all commercial and mostly pedestrain only streets. The research question that was addressed is„What pedestrian movement patterns could be recognized by the use of Wi-Fi tracking sensors in the city centre of Dordrecht?‟ In addition to the sensor data, camera data was provided through the Municipality of Dordrecht with two weeks of data collection of people counts. Another data used to answer the sub research questions is our questionnaire done twice during the research period. After filtering the static devices, the above mentioned datasets where analysed individually and then confronted with each other providing validation and insights. As result of the analysis various movement patterns were identified, as well as: „hot‟ periods, different patterns between days, and in relation to the opening hours of shops. Charts and appropriate maps and animated visualisations are provided in order to show these results.Architecture and The Built EnvironmentGeo-information TechnologyGeomaticsGEO110