Citation

Newton JN, Newman P, Taff BD, D'Antonio A, Monz C. Appl. Geogr. 2017; 88: 94-103.

Copyright

(Copyright © 2017, Elsevier Publishing)

DOI

10.1016/j.apgeog.2017.08.007

PMID

unavailable

Abstract

Visitor use to parks and protected areas is very dynamic. Previous studies have used geospatial models to better understand visitor flow. Geospatial data give a more accurate and precise insight to visitor movements, and investigating both space and time together in one analysis provides a more holistic understanding of visitor use. This study uses a toolbox created for ArcGIS that combines space and time into one analysis to identify space-time hot and cold spots. By entering data of stopping behaviors of visitors driving along a narrow, rustic park road, spatial temporal hot and cold spots were classified and then described by associated demographic data that was collected. The results show statistically significant spatial-temporal trends among stopping behaviors of visitors in vehicles. Such information is valuable to park managers to better understand and manage visitor flows through an area.

Language: en