Predictive Modeling of Transportation Systems in Jiuzhai Valley World Heritage Site, China

Xiaoqing Xu, Rui Yang, Youbo Zhuang, Peter Newman, Derrick Taff

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
JournalSAGE Open
Volume10
Issue number2
DOIs
StatePublished - Apr 2020

All Science Journal Classification (ASJC) codes

  • Arts and Humanities(all)
  • Social Sciences(all)

Fingerprint Dive into the research topics of 'Predictive Modeling of Transportation Systems in Jiuzhai Valley World Heritage Site, China'. Together they form a unique fingerprint.

Cite this