Title

Inclusion Of Social And Behavioral Individual-Difference Variables In Crowd Simulations: A Literature Review And Theoretical Framework

Keywords

Crowd simulation; Individual differences; Macroscopic vs. microscopic models; Pedestrians; Psychosocial behavior

Abstract

As part of a program of research funded by the National Science Foundation (NSF), we conducted a literature review to assess the state-of-the-art in modeling individual-difference variables in crowd simulations, specifically with respect to psychological and social variables such as age, gender, ethnicity, and culture. This paper discusses the three main findings of our broad-based search. First, the literature on modeling individual-differences variables in crowd simulations is relatively fragmented, but a few key groupings can be identified. Second, recent advances in computing power have allowed the field to shift its focus from homogeneous crowd models towards more heterogeneous models that begin to address individual-difference variables. Most of the individual-difference variables currently modeled, however, concern physical and social forces affecting crowd members, rather than individual differences in anthropometric and psychological variables. Third, the state-of-the-art in this area suggests that the most promising approach to modeling individual-difference variables is the modification of social forces models. Clearly, advances in the modeling of individual-difference variables in crowds have been made, but progress will require additional research with respect to (a) variables that affect real crowds; (b) computational approaches for crowd models; and (c) methods for the verification and validation of the resulting models.

Publication Date

12-1-2008

Publication Title

Summer Computer Simulation Conference 2008, SCSC 2008, Part of the 2008 Summer Simulation Multiconference, SummerSim 2008

Number of Pages

299-304

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

84871018387 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84871018387

This document is currently not available here.

Share

COinS