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Abstract
The study used Spatial Durbin Model (SDM) to examine the total, direct and indirect effects of crimes on peer to peer (P2P) lodging performance in Orlando, Florida. Revenue per available room is used as the proxy for lodging performance. Results showed that the effects of crime are dependent on three factors: crime types, home types, and spatial correlations. The total effect of crime is negative. Among the selected crime types, assault, narcotics and theft show stronger impacts on RevPAR. Entire home contributes to most of the crime effects. We also evidenced the spatial spillover effect in crimes on P2P lodging performance. The spatial dependency of crime effects requires higher level of governance. Response to crime requires individual as well as collective efforts from the community and the destination. Findings of this study also help to extend the discussion of crime theories in tourism fields.
Type
event
event
event
Date
2019