Agent-based simulation on tourists’ congestion control during peak travel period using Logit model

Siyuan Du, Chunxiang Guo and Maozhu Jin

Chaos, Solitons & Fractals, 2016, vol. 89, issue C, 187-194

Abstract: During the peak travel period, the high concentration of tourists in a short time results in great negative influence for the scenic areas. Therefore, increasing attention from both scholars and practitioners of tourism has been paid to the tourists shunt management model during peak travel period, however, the traditional shunt strategies may cause the Matthew Effect, a complex system effect. This paper introduces the Logit model on the basis of the preliminary study, to evaluate the performance of the proposed method, two evaluation indexes of tourists balanced distribution including the variance model and the Gini–Simpson are introduced. Furthermore, the paper takes Jiuzhaigou as an example and constructs the Jiuzhaigou tourist shunt simulation model based on multi-agent simulation platform of NetLogo. Numerical simulations show that the effects based on Logit model is superior to the preliminary study.

Keywords: Peak travel period; Complex system; Tourist route selection; Agent-based simulation; Logit model (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:89:y:2016:i:c:p:187-194

DOI: 10.1016/j.chaos.2015.10.025

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