Predictive Modeling of Transportation Systems in Jiuzhai Valley World Heritage Site, China. (May 2020)

• Record Type: Journal Article
• Authors: Xu, Xiaoqing; Yang, Rui; Zhuang, Youbo; Newman, Peter; Taff, Derrick
• Is Part Of: SAGE Open. Volume 10:Number 2(2020:Apr./Jun.)
• Publication Date: 2020-05
• Subjects: world heritage site -- tourism management -- alternative transportation system -- predictive modeling -- tourist congestion -- tourist experience; Social sciences -- Periodicals; 300.5
• DOI: 10.1177/2158244020924375
• Languages: English
• ISSNs: 2158-2440

Abstract

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.