The Transportation Modeling department is primarily responsible for the development of the OKI Regional Travel Demand Model. The travel demand model is a tool to forecast traffic volume, transit ridership, and vehicle emissions in the future. The model forecasts these data elements by:
1. Determining the number of people traveling from and to every traffic analysis zone
2. Forecasting where those people will go
3. Calculate the utility of each available travel mode (drive alone, shared ride, transit) and use that to determine the probability of using each mode
4. Assign the people to vehicles, busses, etc., and assign them to the network
The OKI Model is a modified four-step model that performs trip generation, distribution, mode choice, and assignment for the OKI and MVRPC regions. The model is run in Cube Voyager software, although some model steps utilize Cube TranPlan software, and still others use custom programs.
While the model covers both OKI and MVRPC regions, OKI maintains the inputs for the OKI Region, and MVRPC maintains the inputs for their region.
Transportation planning is central to the mission of OKI. One of the tools OKI uses is a travel demand model. As the owner and operator of the regional travel demand model, OKI continually updates and refines its functionality and performance. This model estimates and forecasts traffic flow based on current and forecasted data. This data includes where people live, work, shop, visit, etc. In order to do this estimating and forecasting, OKI uses several datasets to analyze and model where people will travel and how they will travel. This is accomplished through a variety of surveys and data collection techniques. OKI is now updating an important component of the model through what is known as an Establishment Survey. This survey will enable OKI to update the trip rate for various business and other establishment types. For this, we are collecting data at over 200 locations in the region. This data will include surveys of employees and visitors, along with commercial delivery vehicles to request information about the purpose of the trip (e.g. shopping, work, dining), how they got there (e.g. car, bicycle, walk, transit), what type of location they came from (home, work, a store, a restaurant), and basic demographic questions, such as the number of people in their household.
This data will improve the traffic and transit forecasting capability of the model and provide the best information to stakeholders and decision-makers on transportation investments in the Tri-State region.
OKI has contracted with ETC Institute to manage the collection of data. The survey should take around five minutes to complete. The survey data collection will be in two waves, the first wave is from September to November 2016, and the second wave will be March to May 2017.
Names and locations collected in the survey will be kept confidential; aggregate data will be posted on OKI’s website after the conclusion of the project.