HDR has developed an industry-first Airport Landside Multimodal Demand Analysis Tool to help airports identify and explore mobility improvements and management strategies. As airports plan their growth, a better traffic demand analysis enhances project planning, improves the experience for travelers and ultimately saves airports time and money.
Previous processes have provided segmented and isolated analysis of individual modes of transportation that must be manually aggregated. The new tool, built as an add-on to existing travel demand software, automatically integrates all modes of traffic and data into one platform. As a result, airports can:
- Reduce Environmental Assessment documentation development time for Federal Aviation Administration approval
- Streamline project development
- Visually compare the traffic performance of mitigation scenarios
- Easily coordinate with stakeholders using a consistent airport-wide traffic model
- Quickly create analyses for roadway construction staging
Putting Existing Data to Work
The tool has already been applied at John F. Kennedy International Airport in New York City, resulting in streamlined data analysis and standardized development of alternatives. Work that previously would have required months was instead completed in weeks.
“Airports have been collecting increasing amounts of data on facility traffic and demand, but that data has not been converted efficiently into actionable intelligence,” said Senior Traffic Engineer Tony Wang, who developed the new method. “This tool offers a solution that shows the patterns and opportunities hidden in airports’ traffic data.”
The integrated modeling tool mines data from existing sources, integrates airport development and landside travel demand, and allows airports to test future scenarios to optimize planning, design and operations. The information is processed using custom programming scripts developed by HDR, and the integrated model is built in PTV’s VISUM software — an industry standard travel demand and transit planning tool.
Flexible and Scalable Traffic Demand Analysis
Flexible as technologies or needs change, the integrated modeling can analyze construction staging, evaluate future air travel demand changes, and assess emerging transportation technology including autonomous vehicles, mobility as a service and even landside congestion pricing. Built to work for any airport, the analysis is also scalable depending on airport size or available data.
“The model allows clients to see the accumulative impacts of traffic under different conditions, including different modes and times. We can test different scenarios and make decisions quickly. It’s a tool to get the team on the same page,” Wang said. Wang developed the tool as part of the HDR Fellowship Program, which provides employees the opportunity to conduct applied research in their markets to develop better solutions for our clients.
