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Rail Equipment Accident/Incident Data | USA | 1975 - 2023

Provided By: Datamam

Rail Equipment Accident/Incident Data | USA | 1975 - 2023

Provided By: Datamam

The dataset provides a time series of data related to modal service and safety & security incidents in the US public transit system. Originally published by the Federal Transit Administration (FTA). The data has been sourced from the Department of Transportation, cleaned, and normalized by Datamam. The dataset includes information from all Full Reporters to the National Transit Database (NTD).

Product offers

The following offers are available for this product. Choose an offer to view the pricing and access duration options for the offer. Select an offer and continue to subscribe. Your subscription begins on the date that you accept the offer. Additional taxes or fees might apply.

Public offer

Payment schedule: Upfront payment | Offer auto-renewal: Supported
$0 for 12 months

Overview

Use Cases

  • Public transportation safety analysis: Transportation safety analysts can use this dataset to analyze trends in safety and security incidents in the US public transit system over time. This information can be used to develop strategies for reducing incidents, improving safety and security protocols, and identifying areas for targeted investment in transportation infrastructure.

  • Transportation technology development: Companies that develop transportation technology, such as autonomous vehicles, can use this dataset to analyze safety incidents and develop algorithms to prevent or mitigate similar incidents in the future.

  • Data journalism: Journalists can use this dataset to report on trends and patterns in public transit service and safety incidents, and to investigate issues related to transportation policy and equity. For example, a journalist may use this data to report on the impact of service disruptions on low-income communities, or to investigate disparities in transit safety incidents across different demographic groups.

  • Comparative analysis: Transportation researchers and analysts can use this dataset to compare safety and security trends across different public transportation systems in the US. This information can be used to identify best practices and to develop benchmarks for measuring the performance of different transit systems.

  • Educational and informational purposes: Students, educators, and journalists can use this dataset to learn about the safety and security challenges faced by the US public transit system and to raise awareness about the importance of investing in transportation infrastructure to improve safety and security for riders.


Need Help?

Our team is here to support you in accessing and analyzing data to optimize your business strategies. We'll guide you through the integration process, ensuring you make the most of the available data resources to uncover valuable insights and drive data-driven decision-making across your organization.

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.

Provided By
Fulfillment Method
AWS Data Exchange

Data sets (1)

You will receive access to the following data sets

Revision access rules
All historical revisions | All future revisions
Name
Type
Data dictionary
AWS Region
Rail Equipment Accident/Incident Data | USA | 1975 - 2023
Not included
US East (N. Virginia)

Usage information

By subscribing to this product, you agree that your use of this product is subject to the provider's offer terms including pricing information and Data Subscription Agreement . Your use of AWS services remains subject to the AWS Customer Agreement  or other agreement with AWS governing your use of such services.

Support information

Support contact email address
Support contact URL
Refund policy
Refunds are not offered for this product.
General AWS Data Exchange support