Author Bios (50 Words for each Author)

Yu-Hua Xu is a Research Assistant in the Department of Tourism, Recreation and Sport Management at the University of Florida. She is now working towards the completion of Ph.D. degree with a focus on destination resilience and comprehensive crisis management. She had participated in a number of projects for destination development plan and facility management. Her research provides tools for destinations toward a sustainable development. Her studies have been published and presented in industrial leading journals and conferences on regional and international level.

Abstract (150 Words)

Sharing lodging business like Airbnb thrives in recent years, meanwhile crimes and safety issues are along with the development of this burgeoning market. By using geographical weighted regression and mapping techniques revealed significant positive correlations between Airbnb clusters and crime indices. This relationship was not only significant by crime type and listing type, but also varied by spatial distribution. For the relationships altered by crime type, positive correlations were found in property crime, while negative correlations exist in violent crime. Robbery and motor vehicle theft had positive correlations, while negative correlations were recognized in murder/rape. For the crime opportunity varies by room type, shared room shows positive correlations with crimes, particularly in less touristy area, while private room and entire home carry negative correlations. Finally, spatially varying relationships were found across the studied area. The study provides security suggestions for sharing lodging guests/hosts, local government and the overall lodging industry.

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Explore the Spatial Relationship between Airbnb Rental and Crime

Sharing lodging business like Airbnb thrives in recent years, meanwhile crimes and safety issues are along with the development of this burgeoning market. By using geographical weighted regression and mapping techniques revealed significant positive correlations between Airbnb clusters and crime indices. This relationship was not only significant by crime type and listing type, but also varied by spatial distribution. For the relationships altered by crime type, positive correlations were found in property crime, while negative correlations exist in violent crime. Robbery and motor vehicle theft had positive correlations, while negative correlations were recognized in murder/rape. For the crime opportunity varies by room type, shared room shows positive correlations with crimes, particularly in less touristy area, while private room and entire home carry negative correlations. Finally, spatially varying relationships were found across the studied area. The study provides security suggestions for sharing lodging guests/hosts, local government and the overall lodging industry.