Upper Great Plains Transportation Institute

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54 report(s) found with demand in the keywords field
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The emergence of a new mode, mobility as a service (MaaS), has, to date, been most often characterized as the ride-hailing mode provided by companies such as Uber and Lyft. This study focuses on MaaS as a transit access mode. This mode is also referred to as microtransit. For this research, we describe...

This report explains the various data inputs and outputs associated with the travel demand model (TDM) developed for estimating traffic volumes on low-volume roads in Wyoming. This study incorporated tourism-related data into the TDM and developed methods to estimate traffic volume on low-volume roads...

This report is the response to the North Dakota Legislature's request for a study of the transportation infrastructure needs of all county and township roads in the state. In this report, infrastructure needs are estimated using the most current production forecasts, traffic estimates, and roadway inventory...

Ride-haling such as Uber and Lyft is changing the way people travel and is critical to forecasting mode choice demands and providing adequate infrastructure. Despite widespread claims that these services help reduce driving and the need for parking, little research exists on these topics. This research...

The Bismarck Mandan Travel Demand Model (TDM) is updated every five years to reflect new ground truths/data and the advancements in the state-of-the-art in transportation modeling techniques and methods. The current update reflects base year 2015 data. The model is a four-step TDM including trip generations...

To support agricultural logistics and energy development, road and bridge infrastructure has been in North Dakota due to the recent oil boom and the long-term importance of the agricultural industry. With the advance of simulation and data mining, the agent-based model (ABM) has emerged as a solution....

The Grand Forks East Grand Forks MPO Travel Demand Model (TDM) is updated every five years to reflect new ground truths/data and the advancements in the state-of-the-art in transportation modeling techniques and methods. The current update reflects base year 2015 data. The model is a four-step TDM including...

Discoveries of shale gas reserves along with the development of horizontal drilling and hydraulic fracturing techniques, as well as the initiative to move the United States toward greater energy independence led to the most recent oil boom in western North Dakota (U.S. Congress 2007). Overall, the boom...

The Fargo Moorhead MPO Travel Demand Model (TDM) is updated every five years to replicate new data and the advancements in the state-of-the-art in transportation modeling methods and techniques. The current model update reflects 2015 base year data. The four-step TDM include trip generations, trip distributions...

This study investigates the effectiveness of the Great Rides Bike Share program that was launched in 2015 in the small urban area of Fargo, North Dakota. Eleven bike share stations were installed in Fargo with 101 bikes. Stations were primarily concentrated on the North Dakota State University (NDSU)...

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