This is the tradecraft methodology of predicting how long law enforcement officers will take to arrive / engage in a specific location for your own strategic purpose – the step by step process and general approach to calculating and estimating police response times in urban environments.


The time it takes to calculate the average or potential police response time for a given urban environment depends on several factors, such as the availability of data, the complexity of the analysis, the size and layout of the city, available resources, the distribution of police stations and officers and the tools and methods used.

This approach provides a predictive estimation of police response times and may not account for all variables that can influence actual response times of a specific location. Additionally, response times may vary significantly depending on individual incidents and local conditions that can’t efficiently be utilized for measuring.

Knowing how long it takes for a police response unit(s) to arrive to an exact called location before the call is even made has many potential operational advantages in both pre-planning, planning and active engagement.


      Research and Gather Data


      Identify Priority Areas


      Identify Calculate Travel Distances and Times


      Consider Call Prioritization


      Factor in Officer Availability


      Analyze Historical Response Times


      Calculate the Average Response Time




Open Source Intelligence can be a valuable resource in gathering data to estimate police response times in a given urban environment. OSINT refers to information collected from publicly available sources, which can be analyzed and used to inform various types of research and analysis.

Government websites and publications for the locations of police stations, patrol routes, crime statistics and annual reports on police performance, which can include response time data.

Geographic Information Systems (GIS) data to analyze road networks, traffic patterns and the distribution of public resources, such as police stations and patrol routes.

Social media and news outlets may provide real-time updates on traffic conditions, ongoing police operations and incidents that can impact police response times. Analyzing historical data from these sources can also help identify trends and patterns related to police response times.

Online mapping services like Google Maps and Waze can provide useful information on road networks, traffic conditions and the locations of police checkpoints, ticket zones and other relevant resources.

Online forums and communities can provide anecdotal information, firsthand accounts and perspectives that can help inform your analysis.

Keep in mind that while OSINT can provide valuable insights and data, it may not cover all aspects of the police response time prediction / calculation process. In some cases, it may be necessary to supplement OSINT data with information obtained through other more advanced means.


In addition to OSINT, there are other methods you can use to gather data for estimating police response times in a given urban environment. These methods may involve direct communication, collaboration or access to restricted or proprietary data sources.

Proprietary Data Sources:   Some private companies or organizations may have access to proprietary data sources related to police response times, transportation or urban planning. These sources could include private research.

Human Intelligence:   HUMINT involves gathering information through interpersonal interactions and direct engagement with individuals who have access to relevant information. For example, you could contact law enforcement officials, first responders, or local government representatives to request data or insights related to police response times.

Freedom of Information Act (FOIA) Requests:   In many countries, including the United States, citizens have the right to request access to government records and data under freedom of information laws. You can submit FOIA requests to law enforcement agencies or local government bodies to obtain data on police response times, resource allocation and other relevant information.

Direct Communication With Law Enforcement Agencies:   Reach out to local police departments or law enforcement agencies to inquire about their response times, procedures and available resources. Some agencies may be willing to share information or provide guidance on where to find relevant data.

Collaboration With Academic Institutions or Researchers:   Partner with academic institutions, researchers, or experts in fields such as criminology, urban planning or transportation who may have access to relevant data, specialized tools or expertise in analyzing police response times.

When gathering data from any source, it’s essential to verify the accuracy and reliability of the information whenever and as much as possible. Cross-referencing data from multiple sources and ensuring that the data is up-to-date can help improve the accuracy and credibility of your analysis.


The entire process of predicting and calculating the average or potential police response time for a given urban environment could take anywhere from several days to a few weeks, depending on the availability of data, the size and complexity of the city and the level of detail required in the analysis. The use of specialized tools, software, or assistance from professionals can help expedite the process.

[INTEL : Police Incident/Situation Response Procedure]
[OPTICS : Los Angeles, California]