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New Mexico Traffic Crash Database CrashLevel Data Dictionary and Users Guide Publication Date: February 2016 A technical guide to the traffic crash data collected by the New Mexico Department of Transportation,
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How to fill out crash-level data dictionary and

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How to fill out crash-level data dictionary:

01
Start by gathering all the necessary crash-level data. This includes information such as the date and time of the crash, the location, and details about the vehicles involved.
02
Organize the data into relevant categories. This can include sections for driver information, vehicle information, and details about the crash itself.
03
Use a standardized format for recording the data. This ensures consistency and allows for easier analysis later on. You can use tables, charts, or any other format that suits your needs.
04
Make sure to include all relevant data points. This can include things like the type of crash (rear-end collision, side impact, etc.), weather conditions at the time of the crash, and any contributing factors such as distracted driving or speeding.
05
Double-check the accuracy of the data before finalizing the crash-level data dictionary. Mistakes or missing information can impact the validity of any analysis or reporting that is done using the data.

Who needs a crash-level data dictionary:

01
Traffic engineers and city planners: They can use the crash-level data dictionary to identify patterns and locations of high crash incidents. This information can help with implementing changes to road design, signage, or traffic flow to improve safety.
02
Law enforcement agencies: The crash-level data dictionary can be used by law enforcement agencies to analyze crash data and identify potential problem areas. This can help them allocate resources more effectively and implement targeted enforcement initiatives.
03
Insurance companies: Insurers can benefit from the crash-level data dictionary as it provides valuable insights into risk assessment and claims management. They can analyze the data to understand trends and factors that contribute to higher crash rates, helping them develop more accurate pricing models.
04
Researchers and analysts: Crash-level data is important for researchers and analysts studying traffic safety. By using the data dictionary, they can conduct in-depth studies and develop predictive models to improve traffic safety measures and reduce the likelihood of crashes.
Overall, the crash-level data dictionary is a valuable tool for a wide range of professionals and organizations involved in traffic safety, planning, and analysis. It helps ensure consistent data collection and provides a structured framework for analyzing and utilizing crash data effectively.
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Crash-level data dictionary is a document that contains definitions and descriptions of the data elements included in crash-level data reports.
State departments of transportation and other entities responsible for collecting and reporting crash-level data are required to file the crash-level data dictionary.
The crash-level data dictionary should be filled out by providing definitions and descriptions for each data element included in crash-level data reports.
The purpose of the crash-level data dictionary is to ensure consistency and accuracy in the collection and reporting of crash-level data.
The crash-level data dictionary must include definitions and descriptions of all data elements included in crash-level data reports, such as crash date, time, location, and severity.
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