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作者:

Han, Yan (Han, Yan.) | Wu, Xin-Sen (Wu, Xin-Sen.) | Yang, Guang (Yang, Guang.)

收录:

EI Scopus CSCD

摘要:

Based on the analysis of tourist congestion perception mechanism and influencing factors, stated preference convey is carried out to obtain tour route characteristic, congestion perception and tourists' temporal and spatial distribution intention under different congestion condition. The effect of influent factors such as tourism information obtained from different tourism stages and tourist density to tourist congestion perception is qualitatively analyzed. Based on the ordered choice model, tourists'congestion perception model is established and the partial effects are analyzed. The results show that factors which is before-tour and on tour such as information query mode of tourist route, dissemination content of congestion information and duration time have significant influences on tourists'congestion perception. The probability of the tourists'congestion perception degree (D =2, 3) will add 0.3% and 1.1% when the value of duration time adds 1 min, while the probability of the tourists'congestion perception degree (D =4) will reduce 1.3%.The analysis can provide basic data support for reasonable tourism information dissemination and tourists' temporal and spatial distribution. Copyright © 2017 by Science Press.

关键词:

Highway engineering Information dissemination Probability distributions Spatial distribution Systems engineering Tourism

作者机构:

  • [ 1 ] [Han, Yan]Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Wu, Xin-Sen]Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 3 ] [Yang, Guang]Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing; 100124, China

通讯作者信息:

  • [han, yan]beijing key laboratory of traffic engineering, beijing university of technology, beijing; 100124, china

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来源 :

Journal of Transportation Systems Engineering and Information Technology

ISSN: 1009-6744

年份: 2017

期: 4

卷: 17

页码: 138-144

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 8

ESI高被引论文在榜: 0 展开所有

万方被引频次:

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