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.
All Science Journal Classification (ASJC) codes
- Geography, Planning and Development
- Environmental Science(all)
- Tourism, Leisure and Hospitality Management