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Up-to-date, the simulation of pedestrian behavior is used to support the design and analysis of urban infrastructure and public facilities. The purpose of this paper is to present a microscopic model that describes pedestrian behavior in a two-dimensional space. It is based on multi-agent systems and cellular automata theory. The concept of layered-intelligent terrain from the video game industry is reused and concepts such as tracing, evasion and rejection effects related to pedestrian interactive behavior are involved. In a simulation scenario, an agent represents a pedestrian with homogeneous physical characteristics such as walking speed and height. The agents are moved through a discrete space formed by a lattice of hexagonal cells, where each one can contain up to one agent at the same time. The model was validated by using a test that is composed of 17 real data sets of pedestrian unidirectional flow. Each data set has been extracted from laboratory-controlled scenarios carried out with up to 400 people walking through a corridor whose configuration changed in form of the amplitude of its entrance doors and the amplitude of its exit doors from one experiment to another. Moreover, each data set contained different groups of coordinates that compose pedestrian trajectories. The scenarios were replicated and simulated using the proposed model, obtaining 17 simulated data sets. In addition, a measurement methodology based on Voronoi diagrams was used to compute the velocity, density and specific flow of pedestrians to build a time-series graphic and a set of heat maps for each of the real and simulated data sets.

The approach consists of a multi-agent system and cellular automata theory. The obtained results were compared with other studies and a statistical analysis based on similarity measurement is presented.

A microscopic mobility model that describes pedestrian behavior in a two-dimensional space is presented. It is based on multi-agent systems and cellular automata theory. The concept of layered-intelligent terrain from the video game industry is reused and concepts such as tracing, evasion and rejection effects related to pedestrian interactive behavior are involved. On average, the simulated data sets are similar by 82 per cent in density and 62 per cent in velocity compared to the real data sets. It was observed that the relation between velocity and density from real scenarios could not be replicated.

The main limitations are presented in the speed simulations. Although the obtained results present a similar behavior to the reality, it is necessary to introduce more variables in the model to improve the precision and calibration. Other limitation is the dimension for simulating variables at this moment 2D is presented. So the resolution of cells, making that pedestrian to occupy many cells at the same time and the addition of three dimensions to the terrain will be a good challenge.

In total, 17 data sets were generated as a case study. They contain information related to speed, trajectories, initial and ending points. The data sets were used to calibrate the model and analyze the behavior of pedestrians. Geospatial data were used to simulate the public infrastructure in which pedestrians navigate, taking into account the initial and ending points.

The social impact is directly related to the behavior analysis of pedestrians to know tendencies, trajectories and other features that aid to improve the public facilities. The results could be used to generate policies oriented toward developing more consciousness in the public infrastructure development.

The general methodology is the main value of this work. Many approaches were used, designed and implemented for analyzing the pedestrians’ behavior. In addition, all the methods were implemented in plug-in for Quantum GIS. The analysis was described with heat maps and statistical approaches. In addition, the obtained results are focused on analyzing the density, speed and the relationship between these features.

The purpose of the study is to implement a methodology intended to identify the links between the microclimatic quality of urban routes and the behavior of pedestrians. This document will open up new opportunities for the development of urban open spaces and facilitate decision-making for urban decision-makers.

The methodology intended to identify the links between the microclimatic quality of urban routes and the behavior of pedestrians is deployed in two stages. The first stage represents a microclimatic characterization of the pedestrian routes. The second step represents a behavioral characterization of these same journeys, based on the on-site video observation of the pedestrians.

The analysis of the results obtained by applying this method shows that the physical factors of the urban environment in the two climatic seasons (winter, summer) significantly influence the choice of routes, the percentage of route use, the speed of travel and the frequency of user stops.

The authors have recently observed that the issue of the influence of microclimatic factors on the behavior of pedestrians, and more particularly their movements, has only rarely been addressed. It is therefore in this context that the authors would like to provide, through this article, some technical solutions for analysis and characterization as well as some answers to the problem of the influence of microclimatic factors on pedestrian movements.

In recent years, terrorist attacks have gradually become one of the important factors endangering social security. In this context, this research aims to propose methods and principles which can be utilized to make effective evacuation plans to reduce casualties in terrorist attacks.

By analyzing the statistical data of terrorist attack videos, this paper proposes an extended cellular automaton (CA) model and simulates the panic evacuation of the pedestrians in the terrorist attack.

The main findings are as follows. (1) The panic movement of pedestrians leads to the dispersal of the crowd and the increase in evacuation time. (2) Most deaths occur in the early stage of crowd evacuation while pedestrians gather without perceiving the risk. (3) There is a trade-off between escaping from the room and avoidance of attackers for pedestrians. Appropriate panic contagion enables pedestrians to respond more quickly to risks. (4) Casualties are mainly concentrated in complex terrains, e.g. walls, corners, obstacles, exits, etc. (5) The initial position of the attackers has a significant effect on the crowd evacuation. The evacuation efficiency should be reduced if the attacker starts the attack from the exit or corners.

In this research, the concept of “focus region” is proposed to depict the different reactions of pedestrians to danger and the effects of the attacker’s motion (especially the attack strategies of attackers) are classified. Additionally, the influences on pedestrians by direct and indirect panic sources are studied.

The rapid evacuation of personnel in emergency situations is of great significance to the safety of pedestrians. In order to further improve the evacuation efficiency in emergency situations, this paper proposes a pedestrian evacuation model based on improved cellular automata based on microscopic features.

First, the space is divided into finer grids, so that a single pedestrian occupies multiple grids to show the microscopic behavior between pedestrians. Second, to simulate the velocity of pedestrian movement under different personnel density, a dynamic grid velocity model is designed to establish a linear correspondence relationship with the density of people in the surrounding environment. Finally, the pedestrian dynamic exit selection mechanism is established to simulate the pedestrian dynamic exit selection process.

The proposed method is applied to single-exit space evacuation, multi-exit space evacuation, and space evacuation with obstacles, respectively. Average speed and personnel evacuation decisions are analyzed in specific applications. The method proposed in this paper can provide the optimal evacuation plan for pedestrians in multiple exit and obstacle environments.

In fire and emergency situations, the method proposed in this paper can provide a more effective evacuation strategy for pedestrians. The method proposed in this paper can quickly get pedestrians out of the dangerous area and provide a certain reference value for the stable development of society.

This paper proposes a cellular automata pedestrian evacuation method based on a fine grid velocity model. This method can more realistically simulate the microscopic behavior of pedestrians. The proposed model increases the speed of pedestrian movement, allowing pedestrians to dynamically adjust the speed according to the specific situation.

This study aims to validate a model for estimating platoon delay due to pedestrian crossing for use in Kuwait City.

The model was modified slightly for the scenario used in Kuwait, in which the presence of raised crosswalk meant that all incoming traffic would slow down automatically. Using video footage to observe the site, several variables were collected, and a model was used to calculate the delays suffered by the vehicles because of pedestrian crossing. The model was validated using the actual footage and manual observation to measure the delays.

The model showed a good match fit to the observed data, as the average delays differed by 22.5% between the two methods. Following the comparison, a sensitivity analysis was made on three variables: the acceleration rate, deceleration rate, as well as the pedestrian walking time. The analysis has shown that deceleration rate has approximately twice the effect on the model than the acceleration rate has. It has also shown that the pedestrian walking time has a major effect on the model, in an almost one-to-one correlation. A 50% change of the pedestrian walking time is associated with approximately 50% change in the model’s output delay.

A model for estimating platoon delay because of pedestrian crossing was validated for use in Kuwait City. The model was modified slightly for the scenario used in Kuwait, in which the presence of raised crosswalk meant that all incoming traffic would slow down automatically.

The purpose of this paper is to provide the possible and better selection for pedestrian flow evacuation.

Simulation.

First, according to the model with self-decision agents, the paper figures out that the effect of evacuation guided by the random-walk mechanism exceeds that guided by the inertial mechanism, and specifically, the effect of evacuation could significantly improve if random-walk agents restraint the probability of random walk under 0.4. Besides, on neighborhood reference mechanism, individuals who take neighbors’ average direction as reference tend to achieve better effect of evacuation than that of following majority rule. Furthermore, this paper proposes that an optimal ratio of the proportion of clever individuals and system density exists for evacuation effect improvement. Finally, the evacuating effect with barrier locating in different space is also studied in our research.

The effect of evacuation could significantly improve if random-walk agents restraint the probability of random walk under 0.4. On neighborhood reference mechanism, individuals who take neighbors’ average direction as reference tend to achieve better effect of evacuation than that of following majority rule.

Building circulation has an important impact on human comfort of buildings and is one of the critical factors in building design. A quantitative walkability evaluation of building circulation can benefit both building design and operation. However, indoor walkability of building circulation is determined not only by objective path features but also by subjective user preference. How to incorporate the preference from a large group of users into the design process is still a challenging issue.

This study proposes a participatory framework of indoor path walkability evaluation based on user preference. Hierarchical indicators are developed to objectively measure indoor path features. Furthermore, group decision-making theory is adopted to aggregate individual user preference into user common preference for determining the relative indicator weights. Finally, integrated walkability scores (IWSs) are calculated to evaluate indoor path walkability quantitatively.

A total of three case scenarios demonstrate that the proposed evaluation framework provides an efficient way for designers and owners to measure user preference quantitatively, analyze building circulations based on user preference and compare the walkability of different building design schemes.

The developed methods provide an efficient way for designers and owners to measure user preference quantitatively, analyze building circulations based on user preference and compare the walkability of different building design schemes.

This study develops a comprehensive and quantitative walkability evaluation approach that considers both objective path features and subjective user preference derived from user characteristics and walking purposes, which provides an effective way to incorporate user feedback into the building design process and operation.

We have witnessed an evolution in the use of smartphones in recent years. We have been aware for some time of the potentially deleterious impact of smartphones on users' lives and their propensity for user addiction, as reflected in the large and growing body of work on this topic. One modern phenomenon – the distracted mobile phone user in public, or “smartphone zombie” – has received limited research attention. The purpose of the present study is to develop a robust measure of smartphone zombie behaviour.

The research deign comprises three studies: A round of focus groups (n = 5) and two online surveys (survey one n = 373, survey two n = 386), in order to develop and validate a three-factor, 15-item measure named the Smartphone Zombie Scale (SZS).

Following the round of focus groups conducted, Exploratory Factor Analysis and a Confirmatory Factor Analysis, the SZS measure (Cronbach's α = .932) is demonstrated to be robust and comprises three factors: Attention Deficit (Cronbach's α = .922), Jeopardy (Cronbach's α = .817) and Preoccupation (Cronbach's α = .835), that is shown to be distinct to existing closely related measures (Smartphone Addiction scale and Obsessive Compulsive Use).

The present study represents the first extant attempt to produce a measure of smartphone zombie behaviour, and provides us with a reliable and valid measure with which we can study this growing phenomenon.

The purpose of this paper is to move beyond the stage of analysis of exclusively physical microclimatic phenomena and extending ourselves to the study of the impact of the microclimate environment on the user behavior in public spaces. This paper will open up new opportunities for the development of urban open spaces and facilitate the decision-making for urban decision-makers, city managers and planners to make the right urban planning decision.

The methodology for identifying the links between microclimatic quality of urban routes and behaviors was developed on the basis of the results obtained from field surveys carried out in nine public urban areas of the city of Biskra, three urban space are located in a traditional urban fabric (the medina) and the other five in new urban areas, in the two climatic seasons (winter, summer) of 2019. For this exploratory research, two types of instruments were used to collect data from environmental and human monitoring.

Improving microclimatic conditions in urban spaces can allow people to spend more time outside, with the possibility of increasing their social cohesion. The overall objective of this research is to better understand the impact of microclimatic characteristics on pedestrian behavior of nine selected public urban spaces in the city of Biskra, Algeria. To characterize this impact, the authors developed an approach based on crossing data of field surveys, including structured interviews with a questionnaire and observations of human activities (video recordings), as well as microclimate monitoring, conducted during the two climatic seasons (winter, summer) 2019. The analysis of the results allowed to verify the impact of the two climatic seasons (winter, summer) on the variation in the density of occupancy of the different urban areas studied and the duration of the user stations. The authors also illustrated that the number of individuals higher in the traditional urban spaces of the city of Biskra or the conditions of climate comfort are more comfortable than the urban spaces in the new urban areas of the city of Biskra during the summer, which is the season most problematic.

In recent years, there has been a proliferation of scientific studies on the subject of control of microclimatic characteristics and, in particular, on the consideration of the thermal comfort of persons by qualitative analysis, prediction and representation of the perception of external environments. Improving microclimatic conditions in urban spaces can allow people to spend more time outside, with the possibility of increasing their social cohesion. This study highlights the importance of climate-conscious urban design and design flexibility. Urban environments can be modified in summer and winter to provide a better outdoor thermal environment for users. In addition, this study also shows the importance of harmony between microclimate and urban design. Such harmony can be achieved by including requirements for a climate-conscious urban design in the planning regulations for cities in arid zones.

In mass gatherings, a large number of people gather at a single location. To ensure safety of these people, adequate crowd management strategies are essential. Specifically, in case of an emergency, efficient evacuation can save the lives of many people. This paper aims to develop various control strategies for efficient evacuation, including providing information of routes, changing the physical layout and controlling the behavior of evacuees.

Mathematical models have been developed for optimal decision-making and analysis of the effect of these control strategies during evacuation. A global search with Sequential Quadratic programming is used to increase the likelihood of obtaining the optimal solution to these models. Further, an illustrative evacuation example is presented to test the efficacy of the models.

The results of the illustrative example demonstrate that the models and their corresponding strategies can bring significant benefits for efficient evacuation.

The models developed can play a significant role in helping the security staff execute evacuation better at an operational level. The authors’ models can also have implications at the strategic level for the crowd manager.

Efficient strategies and optimal decision-making during evacuation can save lives of people. These models can develop efficient strategies that can save lives of people.

This paper fulfills need to study the effect of various control strategies on evacuation efficiency for a large area and its complete network.