Use Cases

• Research on transportation safety: Researchers interested in transportation safety can use this dataset to analyze trends and patterns in highway-rail grade crossings in the United States. They can investigate factors that contribute to accidents at these crossings and develop strategies to improve safety.

• Infrastructure planning: City and state planners can use this dataset to identify high-risk highway-rail grade crossings in their areas and prioritize them for infrastructure improvements, such as new warning devices or bridge construction.

• Real-time mapping and navigation: Mobile app developers can use this dataset to create real-time maps that alert drivers to nearby highway-rail grade crossings and provide information on the type of crossing and warning devices in use.

• Insurance risk assessment: Insurance companies can use this dataset to assess risk and determine rates for commercial drivers who frequently encounter highway-rail grade crossings.

• Educational and informational purposes: Students, educators, and journalists can use this dataset to understand the scope of the highway-rail grade crossing system in the United States and the types of safety measures in place to protect drivers and pedestrians.

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Email us at info@datamam.com.

About Datamam

Datamam works with executives from companies all around the globe who need to extract, organize and analyze data more effectively and at scale. Our clients have many needs: sourcing competitive pricing, auditing merchants’ directories, and monitoring consumer sentiment.

They want this data to determine the weaknesses and strengths of products, brands, and services. These insights significantly impact business performance, as they’re used to adjust pricing, improve processes, and help with strategic decision-making.

Datamam provides web scraping services to research, extract, and analyze time-sensitive data. Unlike labor-intensive manual searches, Datamam’s custom software and applications save clients time and let them understand the competitive environment at scale.