Abstract
The movement of people in the city varies significantly during the day. However, the availably of open localization data that could be useful in calibration of pedestrian ABM is negligible. The investigation of pedestrian traffic fluctuations could be an important element of city management (e.g. planning public transport, identification of bottlenecks). For that reason, the paper develops the agent-based model of pedestrians’ flows dynamics in the center of one of the largest Polish cities (Poznan). The Google Places traffic data as well as census data and Geographical Information System were used to calibrate the model to generate reliable fluctuations of pedestrian movements. The developed ABM provides several valuable information that stand behind aggregate Google Places popular times rank. Mainly, we estimated the speed and size of pedestrians’ flows together with the inflow and outflow of pedestrians to the city center. We were also able to identify bottlenecks, pedestrians’ waves and areas of high/low density. The model captures and confirms several facts associated with fundamental diagrams of pedestrian flow and it could be used for further experiments regarding urban planning.
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Notes
- 1.
See for example Rajpurohit et al. [8] for Facebook and WhatsUp case study.
- 2.
Brief description of the simulation area is available at: https://en.wikipedia.org/wiki/Pozna%C5%84_Old_Town.
- 3.
The city is situated in Western Poland. It is the fifth largest city in the country in terms of population (536,438 inhabitants) and sixth in terms of area (262 km2).
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This work was supported by the National Science Centre, Poland, under Grant number 2019/35/D/HS4/00055.
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Wozniak, M. (2023). Dynamics of Pedestrians’ Flows During Daytime. In: Squazzoni, F. (eds) Advances in Social Simulation. ESSA 2022. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-031-34920-1_9
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