Estimating pedestrian speed using aggregated literature data

Bosina, Ernst; Weidmann, Ulrich

doi:10.1016/j.physa.2016.09.044

Cited by 98 publications

(66 citation statements)

References 34 publications

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“…Simulation results show that the proposed model produces less dense crowds of more dynamic pedestrians with less collisions. This better fits the experimental observations for a crowd in open area with density under 0.3 p/m 2 [3][4][5][6][7][8]. Moreover, the proposed model is faster and provides a simple way to vary sizes, perception and attention levels among agents.…”

Section: Discussionsupporting

confidence: 72%

“…In the big crowd scenario, the SFM and the proposed model show very similar speeds in all densities. This speed complies with the average walking speed in pedestrian zones [7].…”

Section: Simulation and Experimentationsupporting

confidence: 77%

“…Except the adaptations presented above, all parameters used for the interaction law are the ones from [13]. The simulation time step is 0.04s and the desired velocity follows a normal distribution with µ = 1.34 m/s and σ 2 = 0.26 m/s, which is the observed average walking speed [7]. The differences between the two compared models are summarized as follows.…”

Section: Simulation and Experimentationmentioning

confidence: 99%

“…Finally, the social force factors are tuned to reflect the perception and the assumption that in open spaces, pedestrians prefer to turn rather than slow down if there is enough space [3]. With these adaptations, the model better fits the characteristics of crowds in an open square place under normal conditions, as reported in the literature [3,[5][6][7]. The results show that in less dense crowds less collisions occur; this fits empirical observations in sparse crowds where rare bumping events are reported [8].…”

Section: Introductionmentioning

confidence: 99%

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Adapting the Social Force Model for Low Density Crowds in Open Environments

Prédhumeau

Dugdale

Spalanzani

2021

Springer Proceedings in Complexity

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Section: Discussionsupporting

confidence: 72%

“…In the big crowd scenario, the SFM and the proposed model show very similar speeds in all densities. This speed complies with the average walking speed in pedestrian zones [7].…”

Section: Simulation and Experimentationsupporting

confidence: 77%

Section: Simulation and Experimentationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Adapting the Social Force Model for Low Density Crowds in Open Environments

Prédhumeau

Dugdale

Spalanzani

2021

Springer Proceedings in Complexity

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“…The double peak structure of the histogram of mean speed is not seen in other studies concerning pedestrian speeds (cf. [8,34]). Reasons for this are passengers spending a noteworthy amount of time standing while waiting for the train or being part of congestion.…”

Section: Dynamics Of User Groupsmentioning

confidence: 99%

Analysis of Space Usage on Train Station Platforms Based on Trajectory Data

Küpper

Seyfried

2020

Sustainability

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The functionality of railway platforms could be assessed by level of service concepts. They describe interactions between humans and the built environment and allow one to rate risks due to overcrowding. To improve existing concepts, a detailed analysis of how pedestrians use the space was performed, and new measurement and evaluation methods are introduced. Trajectories of passengers at platforms in Bern and Zurich Hardbrücke (Switzerland) were analysed. Boarding and alighting passengers show different behaviour, considering the travel paths, waiting times and mean speed. Density, speed and flow profiles were exploited and a new measure for the occupation of space is introduced. The analysis has shown that it is necessary to filter the data in order to reach a realistic assessment of the level of service. Three main factors should be considered: the time of day, the times when trains arrive and depart and the platform side. Therefore, density, speed and flow profiles were averaged over one minute and calculated depending on the train arrival. The methodology developed in this article is the basis for enhanced and more specific level of service concepts and offers the possibility to optimise planning of transportation infrastructures with regard to functionality and sustainability.

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Investigating a university library building evacuation in Pakistan during a semi‐announced fire drill

et al. 2022

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Evacuation models represent one of the main tools used to assess building fire safety.Existing evacuation models are based on data from evacuation drills in western and developed countries, while there is a need for data from South Asian and developing countries (in general). This paper presents the results of an evacuation drill carried out in a library of a developing country in South Asia (Pakistan). The data of 85 student evacuees were recorded and analysed. Pre-evacuation and walking speed data have been reported in this paper which are compared with the available data for library evacuations in other countries. The average pre-evacuation time of 24.3 s (± standard deviation [SD] = 19.83 s) obtained in this study was shorter than previously published data for similar building types in other parts of the world. Furthermore, unimpeded horizontal speeds (mean = 0.74 m/s, SD = 0.28 m/s) were also smaller than the values reported in the available literature. Stair descending speeds (mean = 0.97 m/s, SD = 0.36 m/s) were within the ranges of stair movement data listed in previous studies. These findings represent a pioneering dataset for future building designs and evacuation simulations in developing countries.

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Estimating pedestrian speed using aggregated literature data

Cited by 98 publications

References 34 publications

Adapting the Social Force Model for Low Density Crowds in Open Environments

Adapting the Social Force Model for Low Density Crowds in Open Environments

Analysis of Space Usage on Train Station Platforms Based on Trajectory Data

Investigating a university library building evacuation in Pakistan during a semi‐announced fire drill

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