Managing congestion at visitor hotspots using park-level use level data: Case study of a Chinese World Heritage Site.

ABSTRACT: Tourist congestion at hot spots has been a major management concern for UNESCO World Heritage Sites and other iconic protected areas. A growing number of heritage sites employ technologies, such as cameras and electronic ticket-checking systems, to monitor user levels, but data collected by these monitoring technologies are often under-utilized. In this study, we illustrated how to integrate data from hot spots by camera-captured monitoring and entrance counts to manage use levels at a World Heritage Site in Southeastern China. 6,930 photos of a congestion hotspot (scenic outlook on a trail) were collected within the park at a 10-minute interval over 105 days from January to November 2017. The entrance counts were used to predict daily average and maximum use level at the hotspots. Results

SUBMITTER: Guo JH 

PROVIDER: S-EPMC6660066 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature