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

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  • Du, Siyuan
  • Guo, Chunxiang
  • Jin, Maozhu

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.

Suggested Citation

  • Du, Siyuan & Guo, Chunxiang & Jin, Maozhu, 2016. "Agent-based simulation on tourists’ congestion control during peak travel period using Logit model," Chaos, Solitons & Fractals, Elsevier, vol. 89(C), pages 187-194.
    • Handle: RePEc:eee:chsofr:v:89:y:2016:i:c:p:187-194
    DOI: 10.1016/j.chaos.2015.10.025
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    References listed on IDEAS

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    1. Schwartz, Zvi & Stewart, William & Backlund, Erik A., 2012. "Visitation at capacity-constrained tourism destinations: Exploring revenue management at a national park," Tourism Management, Elsevier, vol. 33(3), pages 500-508.
    2. O’Connor, A. & Zerger, A. & Itami, B., 2005. "Geo-temporal tracking and analysis of tourist movement," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 69(1), pages 135-150.
    3. Barabási, Albert-László & Albert, Réka & Jeong, Hawoong, 1999. "Mean-field theory for scale-free random networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 272(1), pages 173-187.
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    Cited by:

    1. Chi Yunxian & Li Renjie & Zhao Shuliang & Guo Fenghua, 2020. "Measuring multi-spatiotemporal scale tourist destination popularity based on text granular computing," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-33, April.
    2. Dong, Tao & Hu, Wenjie & Liao, Xiaofeng, 2016. "Dynamics of the congestion control model in underwater wireless sensor networks with time delay," Chaos, Solitons & Fractals, Elsevier, vol. 92(C), pages 130-136.

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