Abstract
In the field of pedestrian simulation, there is a lack of detail in terms of the random movements of pedestrians within a public space. This is due to the use of models based on deterministic approaches, like O/D-based fixed percentage of routes which, in most cases, hardly reproduce those random patterns. The presented methodology tries to cover the need of representing the complexity of movements of such spaces, without forgetting the efficiency and effectiveness of the implementation in the model of such large amount of information. This paper describes an intuitive and innovative idea that substantially improves the modeling of random pedestrian patterns, the validation of the results and the analysis of commercial areas and future scenarios.
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Notes
- 1.
GEH Statistic is a formula that gets its name from Geoffrey E. Havers, used to contrast two sets of transportation volumes.
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MartÃnez, I., Olmeda, A. (2014). Methodology for Pedestrian Analysis in Public Spaces Based on Probabilistic Approach. In: Weidmann, U., Kirsch, U., Schreckenberg, M. (eds) Pedestrian and Evacuation Dynamics 2012. Springer, Cham. https://doi.org/10.1007/978-3-319-02447-9_64
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DOI: https://doi.org/10.1007/978-3-319-02447-9_64
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