Safe Route Recommendation Method to Prevent Crime Exposure

In modern society, various crimes are occurring. This is seriously threatening the safety of the city. It is most important to prevent crime before it occurs. There are many studies to prevent crime. However, most of the existing research methods try to prevent crime by analyzing the frequency of crime occurrence and the motives of crime using statistical and psychological factors. Several recent studies have used Big Data to provide real-time crime incidence rates to mobile phone users in specific regions. However, there is no research that reports the risk of crime according to the time and day of the user’s movement. In this paper, we propose a safety route recommendation method according to user’s movement time and day of the week. To do this, we calculate the crime risk rate for a particular facility and calculate the crime risk rate for the route based on the crime risk rate of the facilities included in the user’s route. To calculate the facility crime risk rate, we analyze information on the facility where the crime occurred for the five major types of crime. The facility crime risk rate is expressed in levels from 1 to 10, with 1 being the safest and 10 being the most dangerous. An analysis of crime information shows that the probability of crime on the route increases when facilities with high crime risk or facilities with similar crime rates are in close proximity. Even at the same facility, crime is 20% more likely to occur at night than night, and more crimes occur on Fridays, Saturdays and Sundays than other days. Therefore, the crime risk rate for the route is calculated by using the risk rate of the crime occurrence of the facilities included in the route, the risk rate of crime occurrence at the adjacent facilities, and the time and day weight. When a user chooses a start and end points, our system calculates the crime risk rate according to the time and day of use and recommends the safest route among various routes.