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Research Reports
Filter by Keyword34 report(s) found with demand in the keywords field The U.S. Department of Transportation (USDOT) needs to respond quickly and adapt to the coronavirus (COVID-19) to ensure continuation of critical infrastructure support and relief for the American people. Since early March 2020, the COVID-19 pandemic has had significant impact on traffic across the United... Autonomous Vehicles (AVs) have the potential to offer benefits and flexibility in travel, which can lead to significant reductions in the generalized travel cost and possibly, more demand. The combination of the AV technology with Mobility as a Service (MaaS) creates a new disruptive transportation mode... 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... 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.... 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... 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)... Because existing models have their limitations, there is a significant need for a model to estimate demand for intercity bus services, especially in rural areas. The general objective of this research was to develop an intercity mode choice model that can be incorporated into a statewide travel demand... |
