Title of Paper

Social Behavior in Destination Open Spaces: Analysis and Visualization of Patterns Derived From Public Webcams

Presenter Bios

Ladan Ghahramani is a third year PhD student in the Department of Parks, Recreation, and Tourism Management at North Carolina State University. She recently started working with Travel Oregon (Oregon Tourism Commission) as a research manager. Her research interests focus on applying webcams, crowdsourcing, and social media data to understand visitor behavior in urban destinations.

Abstract

This study presents a scale-up of research in open space use and social behavior using webcams located in destination open spaces (DOSs). Images for this study were scraped from the Archive of Many Outdoor Scenes (AMOS) database. An image annotation protocol was created and validated. Trained research assistants used a crowdsourcing platform to annotate 1000 images for individual and group size. Spatial clustering and time series analysis were utilized to visualize temporal and spatial patterns of social behavior in a DOS in relation to group size, time of day, and day of week. This method allowed analysis and visualization of social behavior in a DOS, potentially useful for tourism and open space research.

This document is currently not available here.

Share

COinS
 

Social Behavior in Destination Open Spaces: Analysis and Visualization of Patterns Derived From Public Webcams

This study presents a scale-up of research in open space use and social behavior using webcams located in destination open spaces (DOSs). Images for this study were scraped from the Archive of Many Outdoor Scenes (AMOS) database. An image annotation protocol was created and validated. Trained research assistants used a crowdsourcing platform to annotate 1000 images for individual and group size. Spatial clustering and time series analysis were utilized to visualize temporal and spatial patterns of social behavior in a DOS in relation to group size, time of day, and day of week. This method allowed analysis and visualization of social behavior in a DOS, potentially useful for tourism and open space research.