| dc.description.abstract | The association between crime and tourism has been studied for more than 40 years. Most of the studies,
however, have focused on differentiating crimes against tourists from crimes against locals despite the high
correlation between the two. To date, there are only a few studies that have pointed out to the role of location
and time in tourism-crime analysis despite the existence of theoretical frameworks such as routine activity, hot
spot, and rational choice that validate the role of temporospatial analysis in tourism/hospitality crimes.
Furthermore, prior literature has only used the predictive policing model in relation to police-criminal activities.
This study, however, claims that by using the principles of the predictive policing model in conjunction with the
community policing model, benefit can be derived from active public participation in preventing/disrupting
crimes that have temporospatial patterns. In order to address the gap and achieve the purpose of the study,
160,947 structured observations of Orlando police public records from 2009 to 2015, types and locations of
crimes, decision tree models of classification and regression (CART or CRT), and chi-square automatic interaction
detection (CHAID) were employed. The results confirm that crimes at recreation/tourism and hospitality venues
have a clear temporospatial pattern and, as such, they could potentially be intervened in and reduced with active
participation of the public. | vi |
