car, transit, walk, and bike), but few models appropriating take into account the impacts of ridesourcing (e.g. Also, current transportation travel models focus on traditional modes of transportation (i.e. As a result, this research will be relevant for the region and beyond. the higher the driving mode share for a city the more positive effects the city will experience with ridesourcing). rural, city size, density) and mode share distribution (e.g. We hypothesize that the effects on VMT, parking demand, and equity issues vary among different geographical areas (e.g. We will then be able to provide insights into the different impact levels of ridesourcing based on the characteristics of a region or a city. For example, what is the role of travel time, travel cost, and parking ease in the decision making process? Other measurements will include VMT impacts and equity issues with the introduction of ridesourcing in our transportation systems. We will assess the travel modes replaced by ridesourcing including new trips, multimodal trips, and intermodal trips in order to gather insights from individuals on the process of why a specific mode was selected over the alternatives. This research will employ a combination of revealed-behavior data and stated-response data structures collected via travel data records, travel diaries, and individual surveys using an innovative approach that combines information gathered from the Lyft/Uber driver and passenger interviews. Transportation, Logistics and Finance Department.Other Resources (Surface Selection Tool, Grain Industry Data, etc.).Geographic Roadway Inventory Tool (GRIT).Small Urban and Rural Center on Mobility (SURCOM).Rural Transportation Safety and Security Center (RTSSC). Northern Tribal Technical Assistance Program (Northern TTAP).North Dakota Local Technical Assistance Program (NDLTAP).Commercial Vehicle Safety Center (CVSC).Center for Surface Mobility Applications and Real-time Simulation environments (SMARTSe).Advanced Traffic Analysis Center (ATAC).
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