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Modeling planned and unplanned store stops for the scenario based simulation of pedestrian activity in city centers
| Content Provider | Semantic Scholar |
|---|---|
| Author | Dijkstra, Jacob Jan Jessurun, Aj Joran |
| Copyright Year | 2013 |
| Abstract | Micro-scale agent-based modeling can be used for the simulation of pedestrian movement for low and high density scenarios and of the effect of changes in an environment. Such models can also be used for pedestrian dynamics in city centers to show the design effects in the shopping environment. The main contribution of this paper is to introduce the implication of planned and unplanned store visits within a simulation framework for pedestrian movement simulation. This paper reports findings of planned and unplanned store visits by using Monte Carlo simulation. Agent-based modeling is a computational methodology that allows us to create, analyze, and experiment with artificial worlds populated by agents. A specific research area is micro-scale agent-based modeling that can be used for the simulation of pedestrian movement for low and high density scenarios and for the effect of changes in the environment. Such models can also be used for pedestrian dynamics in city centers to show the design effects in the shopping environment. In this context, Ali and Moulin (1) describe their multi-agent simulation prototype of customers' shopping behavior in a mall. Therefore, a multi-agent model to simulate pedestrian dynamic destination, route and scheduling behavior is under development, where the simulation of movement patterns is embedded in a more comprehensive model of activity travel behavior. Representation is a main issue in simulating pedestrian dynamics. One can distinguish the representation of the pedestrian environment and the representation of pedestrians. In the domain of a city center, representation of a pedestrian environment includes the geometry of the shopping environment such as stores and streets, the network as a cellular grid, and pedestrian objects. Pedestrian representation includes socioeconomic characteristics, speed, goals, familiarity with the environment, and activity agenda. It is assumed that pedestrians perceive their environment and that they are supposed to carry out a set of activities. For completing an activity, pedestrians spend time in stores. As a consequence, time duration influences their movement behavior over the network. Although a 3D presentation of pedestrians and the pedestrian environment for the simulation of pedestrian movement is the ultimate goal, it is nevertheless meaningful to test the underlying principles in an appropriate 2D representation of pedestrians and their environment. NetLogo can be used as a simulation toolkit because it is a suitable simulation framework that supports modeling, simulation and experimentation. It also offers skeletons of agents and their environment, and interoperability (e.g., Geographic Information System (GIS)). We will use shape- file information of the environment and network structure for visualizing the 2D environment and NetLogo for the actual simulation. |
| Starting Page | 107 |
| Ending Page | 112 |
| Page Count | 6 |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.thinkmind.org/download.php?articleid=simul_2013_5_10_50071 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
