Effects of Switching Behavior for the Attraction on Pedestrian Dynamics (original) (raw)
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Modeling Pedestrian Switching Behavior for Attractions
Transportation Research Procedia, 2014
While walking on the streets, pedestrians can aware attractions like shopping windows. Some of them might shift their attention towards the attractions, namely switching behavior. As a first step, this study investigates collective effects of the switching behavior for an attraction by means of numerical simulations. Such switching behavior leads some pedestrians head for the attraction, or even all the pedestrians have visited the attraction if the social influence is getting stronger. These collective patterns of pedestrian behavior are summarized in a phase diagram. The findings from this study can be interpreted into pedestrian facility management particularly for retail stores.
2014
While walking on the streets, pedestrians can aware attractions like shopping windows. Some of them might shift their attention towards the attractions, namely switching behavior. As a first step, this study investigates collective effects of the switching behavior for an attraction by means of numerical simulations. Such switching behavior leads some pedestrians head for the attraction, or even all the pedestrians have visited the attraction if the social influence is getting stronger. These collective patterns of pedestrian behavior are summarized in a phase diagram. The findings from this study can be interpreted into pedestrian facility management particularly for retail stores. c © 2014 The Authors. Published by Elsevier B.V. Peer-review under responsibility of PED2014.
Collective dynamics of pedestrians interacting with attractions
Physical Review E, 2013
In order to investigate collective effects of interactions between pedestrians and attractions, this study extends the social force model. Such interactions lead pedestrians to form stable clusters around attractions, or even to rush into attractions if the interaction becomes stronger. It is also found that for high pedestrian density and intermediate interaction strength, some pedestrians rush into attractions while others move to neighboring attractions. These collective patterns of pedestrian movements or phases and transitions between them are systematically presented in a phase diagram. The results suggest that safe and efficient use of pedestrian areas can be achieved by moderating the pedestrian density and the strength of attractive interaction, for example, in order to avoid situations involving extreme desire for limited resources.
Pedestrians' Route Choice Model for Shopping Behavior
2016
This paper presents an agent-based model to address the pedestrian route choice problem in shopping malls. Route choice in shopping malls may be defined by a number of causal factors. Shoppers may follow a pre-defined schedule, they may be influenced by other people walking, or may want to get a glimpse of a familiar shopping. The route choice process assumes that the cost of each route can be calculated as a function of three factors: route length, impedance generated by other pedestrians and attraction for areas of interest on the environment. The impedance generated by the friction between pedestrians is assumed to exist even before physical contact, due to the psychological tendency to avoid passing close to individuals with high relative velocity. Pedestrians seek minimal route length and minimal friction with other pedestrians. In order to represent shopping areas environments, a new factor is being considered in the calculation of the route cost: the attraction for areas of i...
World Journal of Advanced Research and Reviews, 2021
The common scientific approaches to the reasoning of problems are mathematical reasoning or statistical reasoning. Mathematical or formal reasoning is usually deductive, therein one reason from general assumptions to specifics using symbolic logic and axioms for multi criteria decision-making. Mathematical probability, which is the basis of all statistical theories, had its beginning in the past. The aim of this paper is to explore a number of the mathematical and statistical aspects of the disposition and behavior of road frontage activities, which are of importance in pedestrian behavior as considered. It's shown that number of crossings from right to left is proportional to the pedestrian on the right (PXRL ∝ NR) and therefore, the number of crossings left to right is proportional to the pedestrians on the left (PXLR ∝ NL). Frequency distributions of the pedestrians generated for a given shopping string arterial were of 4 kinds, one related to pedestrians passing through not ...
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Multiple Destinations Pedestrian Model using an Improved Social Force Model
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