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  4. Data Analytics and Governance Division

Data Analytics and Governance Division

Data Governance Framework 

Geospatial is data and technologies related to the relative position of objects on the earth’s surface. This includes GIS, which can be used to update features and mileage and to ensure that highway reference online interactive map is kept current.

Geospatial data and technologies are essential in transportation for tasks such as:

  • Updating features and mileage: Ensuring accurate road network data is crucial for planning, maintenance, and emergency response.
  • Maintaining accurate maps: Keeping the highway reference online interactive map current is vital for public information and navigation.
  • Supporting various studies and projects: Geospatial data underpins travel demand models, which are used to understand travel patterns, predict future demand, and evaluate the impact of transportation investments.
  • Improving transportation efficiency: Analyzing geospatial data can help optimize traffic flow, reduce congestion, and improve the overall efficiency of transportation systems.
  • Informing decision-making: Geospatial insights support decisions related to transportation infrastructure needs, safety improvements, and environmental impacts.

Overall, geospatial data and technologies play a critical role in the planning, operation, and maintenance of transportation systems, contributing to improved safety, efficiency, and sustainability. Our GIS team plays a pivotal role in supporting initiatives across the department. By implementing modernization projects, the organization can ensure that its data and systems are not only current and efficient but also primed to support informed decision-making and data-driven insights across all levels.

Data Analytics Team

Our Data Analytics team plays a crucial role in transportation by enabling the development and maintenance of travel demand models, which are used to support a variety of studies and projects. These models help in understanding travel patterns, predicting future demand, and evaluating the impact of transportation investments. Additionally, data analytics is used to improve the efficiency of transportation systems, for example by optimizing traffic flow and reducing congestion. It also supports decision-making processes by providing insights into transportation infrastructure needs, safety improvements, and environmental impacts.