Pedestrian Behavior: Models, Data Collection and Applications
Studies of pedestrian behaviour have recently gained a lot of attention in a variety of disciplines, including urban planning, transportation, civil engineering, computer science/artificial intelligence and applied physics. Various kinds of models for simulating pedestrian behaviour have been suggested. Moreover, new technologies have been used to collect data about pedestrian movement patterns. The aim of this book is to document these new developments in research and modelling approaches. In this book, leading scholars representing different modelling approaches and fields of application have written chapters about the analysis and modelling of pedestrian movement patterns. Modelling approaches include cellular automata models, fluid dynamics, discrete choice models, rule-based models, multi-agent models and models of bounded rationality. The chapters illustrate that these model can be successfully used to simulate phenomena such as lane formation, crowding, activity-patterns, path decisions, micro-behaviour, impulse buying and store choice behaviour. Finally, the book contains some interesting application of this body of research. These chapters and paragraphs demonstrate the applied potential of models of pedestrian behaviour.
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Chapter 2 Empirical Results for Pedestrian Dynamics and their Implications for Cellular Automata Models
Chapter 3 Modeling Simulating and Visualizing Crowd Dynamics with Computational Tools Based on Situated Cellular Agents
Chapter 4 Modeling Impulse and NonImpulse Store Choice Processes in a MultiAgent Simulation of Pedestrian Activity in Shopping Environments
Chapter 5 Modeling Pedestrian Movement in Shopping Street Segments
Chapter 6 Simulating Pedestrian RouteChoice Behavior under Transient Traffic Conditions
Chapter 7 Modeling and Simulating Pedestrian Shopping Behavior Based on Principles of Bounded Rationality
Chapter 8 A Model of Time Use and Expenditure of Pedestrians in City Centers
Chapter 9 A Novel Calibration Approach of Microscopic Pedestrian Models
Chapter 10 Crowd Dynamics Phenomena Methodology and Simulation
Chapter 11 The MATSim Network Flow Model for Traffic Simulation Adapted to LargeScale Emergency Egress and an Application to the Evacuatio...
Chapter 12 Comparative Study of Pedestrian Behavior in Central Shopping Areas of East Asian Cities
Chapter 13 The Pedestrian ItineraryPurposes Environmental Factors and Path Decisions
An Application of Discrete Choice Models and WebBased Survey
A Comparative Study on Various Existing Systems
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activity agent alternative approach assumed Bierlaire Borgers bottleneck bounded rationality Bovy Busan calibration cellular automata characteristics choice behavior choice model city center computational conﬁguration costs counting crowd dynamics Daamen decision deﬁned deﬁnition density destination choice discrete choice distance distribution estimation evacuation dynamics evaluation exit expenditure expenditure functions factors ﬁeld Figure ﬁnd ﬁrst Fukuoka function fundamental diagram Helbing heuristic Hoogendoorn inﬂuence interactivity interaction itinerary mode choice model of pedestrian Model-A multi-agent nodes observed parameters path patterns pavilions Pedestrian and evacuation pedestrian behavior pedestrian dynamics pedestrian ﬂow pedestrian movement pedestrian route Planning reﬂect represent RFID route choice Schadschneider Schreckenberg segment sensors shopping areas signiﬁcant Simulating pedestrian space spatial speciﬁc Springer terminus Tianjin Timmermans tracking trafﬁc trajectories Transportation Research Board Transportation Research Record urban Urban Planning utility variables visitors walking behavior walking environment zone