Research on Analysis and Dynamic Evolution of Deviant Tourists Behavior

Deviant tourist behavior not only has direct influences on management cost of organization, but related to travel perception of tourists. Existing related researches consider less the evolution of deviant behavior. The article proposes a decision-making rule of deviant behavior which makes tourists as decision subjects and develops the evolution model of deviant tourist behavior. Then, the evolution simulation of deviant tourist behavior based on dual-agent is implemented using NetLogo simulation platform and the simulation experiment which is aimed at studing the influence of manager density and conformity preference on deviant tourist behavior, which reveals strategies of optimizing the evolution result of deviant behavior. By simulation experiment, we show that herd behavior characteristic of attractions for tourists could promote the consistency of group civilized behavior, and setting attractions manager density at 4% reasonably could contain large-scale outbreak of deviant tourist behavior.