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MPC
Project Details

Title:Impacts of Ridesourcing on VMT, Parking Demand, Transportation Equity, and Travel Behavior
Principal Investigators:Wesley Marshall and Bruce Janson
University:University of Colorado Denver
Status:Active
Year:2016
Project #:MPC-514
RiP #:01607377
Keywords:equity (justice), impacts, mobile applications, mode choice, parking demand, revealed preferences, ridesharing, stated preferences, travel behavior, vehicle miles of travel
 

Abstract

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. 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. 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 then be able to provide insights into the different impact levels of ridesourcing based on the characteristics of a region or a city. We hypothesize that the effects on VMT, parking demand, and equity issues vary among different geographical areas (e.g. urban vs. suburban vs. rural, city size, density) and mode share distribution (e.g. the higher the driving mode share for a city the more positive effects the city will experience with ridesourcing). As a result, this research will be relevant for the region and beyond. Also, current transportation travel models focus on traditional modes of transportation (i.e. car, transit, walk, and bike), but few models appropriating take into account the impacts of ridesourcing (e.g. Lyft, Uber) (DuPuis et al., 2015). Thus, this research will also fill a gap in the literature by studying the effects of evolving services on travel behavior, which will help cities and regional transportation organizations better account for the impact of technology and evolving transportation services in their transportation planning processes.

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