Systems and methods for determining likelihood of incident occurrence

Abstract

Determination of a user-specific likelihood of incident occurrence at a geographic location may be performed. User information, historical incident information, contextual information, and/or other information may be obtained. User information may include user demographic information, user behavior information, user social information, and/or other user related information. Historical incident information may include data relating to crime, mortality, injury, morbidity rates and may be obtained from local law enforcement, local Departments of Motor Vehicles, national security agency, foreign security agency, international criminal policy organization, national public health agency, international public health agency and/or other sources. Contextual information may include information about events that have previously occurred at or near user's current geographic location. Determination of a user-specific likelihood of incident occurrence may be performed by analyzing collected sets of user data, historical incident data, and contextual information obtained from various sources to create a single incidence likelihood indicator.

What is claimed is: 
     
         1 . A system for providing access to incident information, the system comprising:
 one or more physical processors configured by machine-readable instructions to:
 obtain user information, the user information including demographic information of a user, geolocation information of the user, user behavioral information, and social information, of the user, such that the demographic information indicating demographic characteristics of the user including occupation of the user, the geolocation information indicating geolocations of the user over time, the user behavioral information indicating at least one activity being performed by the user at or near the geolocations of the user, and the social information including a user profile of the user related to a social networking platform and indicating frequency of activities of the user, wherein the geolocations are based on user movement of the user to different geolocations; 
 obtain historical incident information for incidents that have previously occurred at or near the geolocations as the user moves to the geolocations; 
 determine, in an ongoing manner, a likelihood of occurrence of an incident that negatively impacts the safety and/or security of the user for individual ones of the geolocations and the user based upon the user demographic characteristics, the user behavioral information, the social information, and the historical incident information as the geolocations change based on the user movement to the individual geolocations; and 
 effectuate presentation of an incidence likelihood indicator to the user, the incidence likelihood indicator reflecting the likelihood of occurrence of an incident that negatively impacts the safety and/or security of the user for the geolocations and the user, wherein the incidence likelihood indicator is a value on an ordered scale. 
   
     
     
         2 . The system of  claim 1 , wherein the determination of the likelihood of occurrence of an incident that negatively impacts the safety and/or security of the user is determined using predictive models. 
     
     
         3 . The system of  claim 1 , wherein the one or more physical processors are further configured to obtain a query time at which the user is or will be present at the geolocation based on calendar events of the user and wherein the determination of the likelihood of occurrence of an incident that negatively impacts the safety and/or security of the user for the geolocation is further configured to be based upon the query time. 
     
     
         4 . The system of  claim 3 , wherein the one or more physical processors are further configured to obtain the calendar events based on the user behavioral information. 
     
     
         5 . The system of  claim 3 , wherein the one or more physical processors are further configured to obtain contextual information for the geolocation, the contextual information describing events occurring at or near the geolocation at the query time. 
     
     
         6 . The system of  claim 5 , wherein the events have previously occurred individually, periodically, regularly, and/or sporadically. 
     
     
         7 . The system of  claim 5 , wherein the contextual information includes events related to natural or man-made hazards and disasters, states of emergency, political unrest, social unrest, and/or wars. 
     
     
         8 . The system of  claim 5 , wherein the determination of the likelihood of occurrence of an incident that negatively impacts the safety and/or security of the user for the geolocation and the user is based upon the contextual information. 
     
     
         9 . The system of  claim 1 , wherein the demographic characteristics include at least one or more of the user's age, gender, and/or race. 
     
     
         10 . The system of  claim 1 , wherein the historical incident information includes at least one or more of a crime information, a victimization information, a health and safety information, and/or a climate information. 
     
     
         11 . A method for providing access to incident information, the method comprising:
 obtaining user information, the user information including user demographic information, user geolocation information, user behavioral information, and social information such that the user demographic information indicating demographic characteristics of the user including occupation of the user, the user geolocation information indicating geolocations of the user over time, the user behavioral information indicating at least one activity being performed by the user at or near the geolocations of the user, and the social information including a user profile of the user related to a social networking platform and indicating frequency of activities of the user, wherein the geolocations are based on user movement of the user to different geolocations;   obtaining historical incident information for incidents that have previously occurred at or near the geolocations as the user moves to the geolocations;   determining, in an ongoing manner, a likelihood of occurrence of an incident that negatively impacts the safety and/or security of the user for individual ones of the geolocation and the user based upon the user demographic characteristics, the user behavioral information, the social information, and the historical incident information as the geolocations change based on the user movement to the individual geolocations; and   effectuating presentation of an incidence likelihood indicator to the user, the incidence likelihood indicator reflecting the likelihood of occurrence of the incident that negatively impacts the safety and/or security of the user for the geolocations and the user, wherein the incidence likelihood indicator is a value on an ordered scale.   
     
     
         12 . The method of  claim 11 , wherein the determination of the likelihood of occurrence of the incident that negatively impacts the safety and/or security of the user is determined using predictive models. 
     
     
         13 . The method of  claim 11 , wherein the one or more physical processors are further configured to obtain a query time at which the user is or will be present at the geolocation based on calendar events of the user and wherein the determination of the likelihood of occurrence of the incident that negatively impacts the safety and/or security of the user for the geolocation is further configured to be based upon the query time. 
     
     
         14 . The method of  claim 13 , wherein the one or more physical processors are further configured to obtain the calendar events based on the user behavioral information. 
     
     
         15 . The method of  claim 13 , wherein the one or more physical processors are further configured to obtain contextual information for the geolocation, the contextual information describing events occurring at or near the geolocation at the query time. 
     
     
         16 . The method of  claim 15 , wherein the events have previously occurred individually, periodically, regularly, and/or sporadically. 
     
     
         17 . The method of  claim 15 , wherein the contextual information includes events related to natural or man-made hazards and disasters, states of emergency, political unrest, social unrest, and/or wars. 
     
     
         18 . The method of  claim 15 , wherein the determination of the likelihood of occurrence of the incident that negatively impacts the safety and/or security of the user for the geolocation and the user is based upon the contextual information. 
     
     
         19 . The method of  claim 11 , wherein the demographic characteristics include at least one or more of the user's age, gender, and/or race. 
     
     
         20 . The method of  claim 11 , wherein the historical incident information includes at least one or more of a crime information, a victimization information, a health and safety information, and/or a climate information.