Should I Turn or Should I Go? Simulation of Pedestrian Behaviour in an Urban Environment

Woźniak, Marcin; Dzięcielski, Michał

doi:10.1080/17477778.2022.2029594

Cited by 7 publications

(3 citation statements)

References 49 publications

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“…It is strongly recommended to adopt existing agent-based pedestrian models or evacuation models. For example, Wozniak and Dziecielski [92] provide a NetLogo model of pedestrian behaviour in urban environments during the daytime. Their ambition is to design a general agent-based model for the replication of pedestrian flows.…”

Section: Discussionmentioning

confidence: 99%

Agent-Based Modelling in Visitor Management of Protected Areas

2022

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The research was motivated by the growing importance of visitor management in protected areas, which can be based on knowledge management, system modelling of processes and phenomena, and a deeper knowledge of the experience of visitors in connection with the concept of psychological carrying capacity. The work builds on previous publications and research by the authors, focused on the optimization of tourism impacts, visitor management and the development of the theory and applicability of the concept of carrying capacity. It emphasizes the overview analysis of the possibilities of using agent-based modelling and visualization of visitor flows in protected areas. The analysis of suitable sources was based on the PRISMA method, which showed the main research directions for the use of the agent-based approach in visitor management. For the practical application of modelling, the NetLogo environment was chosen, in which the visitor flows of the model area were simulated. The visitor attendance was evaluated in relation to the psychological carrying capacity. Subsequently, visitor management measures were implemented in the model, and repeated simulations of visitor attendance, based on monitored flows, were run for a specific location around Oheb Castle (the Železné hory/Iron Mountains, Bohemia). The main result is the innovative use of agent-based modelling in visitor management in the context of visitor experience, visitor satisfaction and psychological carrying capacity. The contribution of the presented research is also the proposal of future research directions for more accurate use of psychological carrying capacity in visitor management.

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Section: Discussionmentioning

confidence: 99%

Agent-Based Modelling in Visitor Management of Protected Areas

2022

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“…The general mechanics of agents’ movement rests on the gradient method described by Dietrich and Köster 51 and used by Crooks et al 29 We also drew on our previous works. 52,53 This approach assumes that each agent is seeking one destination point. The closer the agent is to the point, the stronger he or she is attracted by it.…”

Section: The Model Of Pedestrian Trafficmentioning

confidence: 99%

From dawn to dusk: daily fluctuations in pedestrian traffic in the city center

Wozniak

2023

SIMULATION

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Pedestrian traffic in a city is subject to fluctuations throughout the day due to a variety of factors. The understanding of these variations can be achieved using properly calibrated agent-based simulation models that capture the dynamics of pedestrian movement. However, despite their significance, such models are currently underrepresented in scientific discussions. In addition, acquiring real-world pedestrian localization data for model calibration poses challenges. To address these issues, this paper presents an agent-based model specifically designed to examine pedestrian traffic fluctuations at a mesoscale level. The model uses popular times data from the Google Places service and population data from the Geographic Information System (GIS) for accurate calibration. As a result, it effectively captures the real-world dynamics of pedestrian movement in the city center. By harnessing the advantages of agent-based modeling (ABM), the model generates several valuable insights into daily pedestrian traffic. It estimates the capacity and speed of pedestrian flows and determines the daily load within the simulated area. Moreover, it enables the identification of bottlenecks and areas characterized by varying levels of pedestrian density. The model’s validation process involves comparing its output with empirical studies and pedestrian traffic data from selected points of interest (POIs). The model successfully captures key aspects associated with fundamental diagrams of pedestrian flow. Furthermore, the dynamics of pedestrians closely align with Google Places popular times data for the chosen POIs. Overall, this research contributes to advancing pedestrian traffic management and optimizing public transport organization by employing empirically calibrated agent-based simulation models.

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“…This is inadequate for representing pedestrians in street environments because interactions influence routes in ways that cannot be treated simply as collision avoidance. Wozniak and Dziecielski (2022) simulate non-optimal pedestrian routes through an urban neighbourhood that are influenced by agent interactions but do not consider vehicle traffic and pedestrian–vehicle interactions. Tong and Bode (2021) present a model of pedestrian route choice that does integrate decisions across spatial scales but is also not directly applicable to road crossing and road user interaction.…”

Section: Introductionmentioning

confidence: 99%

Neighbourhood-level pedestrian navigation using the construal level theory

Sargoni

Manley

2023

Environment and Planning B: Urban Analytics and City Science

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Pedestrian navigation decisions take place simultaneously at multiple spatial scales. Yet most models of pedestrian behaviour focus either on local physical interactions or optimisation of routes across a road network. We present a novel hierarchical pedestrian route choice framework that integrates dynamic, perceptual decisions at the street level with abstract, network-based decisions at the neighbourhood level. The framework is based on construal level theory which states that decision makers construe decisions based on their psychological distance from the object of the decision. We implement this route choice framework in a spatial agent-based model in which pedestrian and vehicle agents complete trips in an urban environment. Using global sensitivity analysis techniques, we demonstrate the interaction between route choice components representing decision making at different spatial and temporal scales. Additionally, through comparison to a least cost network model, we demonstrate the increased route heterogeneity produced by this approach. This work could form the basis of an alternative method for producing pedestrian route alternatives. The granularity and scale of the modelled pedestrian trajectories could also help improve appraisals of street infrastructure.

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Should I Turn or Should I Go? Simulation of Pedestrian Behaviour in an Urban Environment

Cited by 7 publications

References 49 publications

Agent-Based Modelling in Visitor Management of Protected Areas

Agent-Based Modelling in Visitor Management of Protected Areas

From dawn to dusk: daily fluctuations in pedestrian traffic in the city center

Neighbourhood-level pedestrian navigation using the construal level theory

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