TY - JOUR
T1 - Predictive Modeling of Transportation Systems in Jiuzhai Valley World Heritage Site, China
AU - Xu, Xiaoqing
AU - Yang, Rui
AU - Zhuang, Youbo
AU - Newman, Peter
AU - Taff, Derrick
N1 - Funding Information:
The authors are grateful to the administration of Jiuzhaigou Valley National Park, for their field observation support. The authors are also grateful to Mr. Dong of computer science in Tsinghua University, for his technical support. The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This research is supported by the National Science Foundation for Young Scholars of China (Grant No.51808394) and Shanghai Pujiang Program (18PJC113).
Funding Information:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This research is supported by the National Science Foundation for Young Scholars of China (Grant No.51808394) and Shanghai Pujiang Program (18PJC113).
Publisher Copyright:
© The Author(s) 2020.
PY - 2020/4
Y1 - 2020/4
N2 - Tourist congestion is a significant issue in Jiuzhai Valley World Heritage Site (JVWH). The “demand-driven” approach of alternative transportation system (ATS) has led to the issues related to visitor crowding, visitor safety, and visitor experience quality. JVWH requires a more efficient approach to achieve a suitable tourist distribution while preserving the quality of visitors’ experiences. Accordingly, this study examines descriptive data, which are collected in 2015 regarding visitor use of the ATS in JVWH to spatially model current and future distribution scenarios. Researchers developed four theoretical scenarios by using the computational model which imitate the current ATS system. Imitation results indicate Scenarios 3 and 4, which adjust spot combination and tourist duration are the two most effective methods for balancing tourist distribution, and are, therefore, the most effectively ways to optimize the current ATS system. This research provides a glimpse into potential management strategies for the tourist distribution of JVWH and possibly other parks in China.
AB - Tourist congestion is a significant issue in Jiuzhai Valley World Heritage Site (JVWH). The “demand-driven” approach of alternative transportation system (ATS) has led to the issues related to visitor crowding, visitor safety, and visitor experience quality. JVWH requires a more efficient approach to achieve a suitable tourist distribution while preserving the quality of visitors’ experiences. Accordingly, this study examines descriptive data, which are collected in 2015 regarding visitor use of the ATS in JVWH to spatially model current and future distribution scenarios. Researchers developed four theoretical scenarios by using the computational model which imitate the current ATS system. Imitation results indicate Scenarios 3 and 4, which adjust spot combination and tourist duration are the two most effective methods for balancing tourist distribution, and are, therefore, the most effectively ways to optimize the current ATS system. This research provides a glimpse into potential management strategies for the tourist distribution of JVWH and possibly other parks in China.
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U2 - 10.1177/2158244020924375
DO - 10.1177/2158244020924375
M3 - Article
AN - SCOPUS:85085614735
SN - 2158-2440
VL - 10
JO - SAGE Open
JF - SAGE Open
IS - 2
ER -