ride-hailing | National Center for Sustainable Transportation

Modeling Multi-Modal Interaction with Emerging Shared Mobility

Principal Investigator Shenyang Chen
University of California, Davis

This project will investigate the traveler behavior using a nested logit model to balance labor supply and travel demand in the context of shared mobility.

Project Status

In Progress

A Deeper Investigation into the Effect of the Built Environment on the use of Ridehailing for Non-work Travel

Research Product Type

Associated Publication

This study develops a model that estimates how the built environment affects the decision to choose ridehailing for making non-work trips.

Addressing the Uncertainty in the Outcomes of On-Demand Ride-Hailing and Sustainable Transportation in Transportation Planning and Policy

Principal Investigator Susan Pike, Ph.D.
University of California, Davis

This project examines the uncertainties of on-demand ride-hailing, and policies that transportation planners are implementing to curb negative effects.

Project Status

Complete

Adoption of Ride-hailing in California and Impacts on the Use of Other Travel Modes

Dr. Circella presented results from a study that investigates the factors affecting the adoption and frequency of use of emerging transportation services, including shared mobility services such as car-sharing and ride-hailing (Uber/Lyft).

Analysis of Emerging Transportation Trends in California using Panel Data: Individual Attitudes and Lifestyles, Residential Location, Vehicle Ownership, Travel Behavior and Adoption of Shared Mobility among Millennials and Older Adults (Phase 2)

Principal Investigator Giovanni Circella, Ph.D.
University of California, Davis

This is a longitudinal study of recent transportation trends based on generations.

Project Status

Complete

Annual Investigation of Nationwide Mobility Trends: “The Pulse of The Nation” on the 3 Revolutions

Principal Investigator Giovanni Circella, Ph.D.
University of California, Davis

The study will shed light on the evolving impacts of new mobility options on various components of travel behavior and vehicle ownership, how these solutions expand travel options and the circumstances under which travelers increase travel multimodality and may reduce their reliance on the use of private vehicles.

Project Status

Complete

Curbside Management Is Critical for Minimizing Emissions and Congestion

Research Product Type

Policy Brief

Researchers at the University of California, Davis conducted a review of practices in curbside management, and they conducted simulations to evaluate the impact of different management and design strategies on travel time, congestion, vehicle travel, and emissions in residential, commercial, and mixed-use neighborhoods in San Francisco.

Dataset: Dynamic Ride-Sharing with HOV Lanes and Meeting Points

Research Product Type

Data

This data is from the project, Dynamic Routing for Ridesharing. The data is randomly generated within grids where each unit of the grid represents a 1-mile by 1-mile square. It is used to generate the origins and destinations of passengers.

Dataset: Estimating the Costs of New Mobility Travel Options: Monetary and Non-Monetary Factors

Research Product Type

Data

The data used in the creation of a cost model of travel choices (e.g. deciding to own, ride in, and drive a private vehicle or use pooled or solo ridesourcing) that individuals make related to urban vehicle travel. The project involved convening focus groups and administering a pilot survey of professionals.

Dataset: Fighting for curb space: Micro-simulation

Research Product Type

Data

This data contains the GIS information of the three study areas from the project Fighting for Curb Space, as well as the SUMO scripts.