Shared Mobility

Private and Public Modes of Bicycle Commuting: A Perspective on Attitude and Perception

Tirado, A
Nazelle, A De
González, D
Cole-Hunter, T
Garcia-Aymerich, J
Martinez, D
Anaya, E
Rodriguez, D
Jerrett, M
Nieuwenhuijsen, MJ
2016

Public bicycle-sharing initiatives can act as health enhancement strategies among urban populations. The aim of the study was to determine which attitudes and perceptions of behavioural control toward cycling and a bicycle-sharing system distinguish commuters with a different adherence to bicycle commuting.  Methods: The recruitment process was conducted in 40 random points in Barcelona from 2011 to 2012. Subjects completed a telephone-based questionnaire including 27 attitude and perception statements. Based on their most common one-way commute trip and...

Improving Mobility through Enhanced Transit Services: Transit Taxi Service for Areas with Low Passenger Demand Density

Li, Yuwei
Miller, Mark
Cassidy, Michael
2009

This research report is the final deliverable for PATH Task Order 6408: “Improving Mobility through Enhanced Transit Services”. The purpose of this task order is to explore alternative methods of providing transit service to areas with low passenger demand density. This report first presents analytical models for determining optimal headway and line spacing for fixed-route, fixed schedule buses, either with fixed stops or allowing buses to stop anywhere along the route. Next, transit taxi services with either fixed or flexible routes that specifically target focused demand patterns are...

Impacts of Commute Trip Reduction Programs, Rail Station Area Built Environment Changes, and Ride-Hailing Services on Traveler Behavior

Li
Rodriguez, D
Montilla, M
Chatman, D
Chen, P
Yang, X
Winters, P
2022

This project consists of three related studies investigating strategies to address urban congestion: a) employer-based travel demand management strategies, b) improvement of transit station area built environments, and c) understanding the impacts of ride-hailing. Collectively, the three studies represent complementary strategies to address urban congestion. However, each of them focuses on a particular approach from managing demand side incentives to supply side service disruptions.

Spatial and Temporal Factors in Estimating the Potential of Ride-sharing for Demand Reduction

Tsao, H.-S. Jacob
Lin, Da-Jie
1997

This study reports on a method to accomplish sensor validation and fusion in Intelligent Transportation Systems (ITS). The method is based on probabilistic and fuzzy techniques that express a confidence in the sensor data and take into account environmental factors and the state of the system. Sensor data fusion uses the confidence assigned to each sensor reading and integrates them into one reading. Noise and failure are filtered from the data and lead to a safety improvement in ITS.

Determining the Effectiveness of HOV Lanes

May, Adolf D.
Leiman, Lannon
Billheimer, John
2007

This document is the final report for the two-year PATH Project “Determining the Effectiveness of HOV Lanes”. It has been supported by the California Department of Transportation (Caltrans). The primary objectives of this project have been to evaluate freeways having on-freeway HOV lanes in terms of vehicle-travel, person-travel, occupancy distribution, shape and duration of the peak period, congestion patterns, and air quality both in the HOV lane and the adjacent mixed-flow lanes.Based on a comprehensive literature review an extensive list of reference was developed, along with summaries...

Is electric vehicle carsharing for everyone? from activity patterns to user retention

Yassine, Ziad
Martin, Elliot
Shaheen, Susan
2025

This research explores the user dynamics of electric vehicle (EV) carsharing within underserved communities, focusing on BlueLA, a one-way station-based EV carsharing service in Los Angeles, California. This study employs a mixed-methods approach to evaluate how activity patterns differ between BlueLA member types and how membership type influences user retention rates. We conduct an exploratory data, clustering, and survival analyses, using BlueLA trip activity data, supplemented by insights from a user survey and a general population survey. Our results reveal distinct travel behaviors...

Environmental Impacts of Transportation Network Company (TNC)/Ride-Hailing Services: Evaluating Net Vehicle Miles Traveled and Greenhouse Gas Emission Impacts within San Francisco, Los Angeles, and Washington, D.C. Using Survey and Activity Data

Martin, Elliot
Shaheen, Susan
Wolfe, Brooke
2024

Transportation Network Companies (TNCs) play a prominent role in mobility within cities across the globe. However, their activity has impacts on vehicle miles traveled (VMT) and greenhouse gas (GHG) emissions. This study quantifies the change in personal vehicle ownership and total miles driven by TNC drivers in three metropolitan areas: San Francisco, CA; Los Angeles, CA; and Washington, D.C. The data sources for this analysis comprise two surveys, one for TNC passengers (N = 8630) and one for TNC drivers (N = 5034), in addition to data provided by the TNC operators Uber and Lyft. The...

From Taxis to Ridehailing: Examining Gender Issues for Female Drivers and Passengers

Shaheen, Susan
Cohen, Adam
Wolfe, Brooke
Champlin, Jacob
2024

This report analyzes gender issues for female drivers and passengers of transportation network companies (TNCs) and taxis. Between August 2023 and May 2024, the researchers conducted driver and rider focus groups (n=8 drivers and n=8 passengers); a driver survey (n=170); a TNC user/non-user survey (n=440, including n=217/440 taxi non-users, n=7/440 TNC non-users, and a subset of n=5/440 non- users of TNCs and taxis); and expert interviews (n=13). This research finds that both female drivers and passengers experience an array of safety concerns and challenges traveling with young children...

Challenges and Opportunities Facing App-Based Gig Drivers Extend Beyond Driver Pay

Shaheen, Susan
Wolfe, Brooke
Cohen, Adam
Broader, Jacquelyn
2024

Throughout the U.S., app-based gig drivers provide valuable services for courier network services (CNS) like Instacart, Uber Eats and DoorDash, and transportation network companies (TNCs) such as Uber and Lyft. In California, gig labor classification is governed among other things by Assembly Bill 5 (AB 5), which passed in 2019, and Proposition 22 (Prop 22) adopted in 2020. AB 5 established the ABC Test for worker classification in California labor law. The ABC Test results in most app-based drivers being classified as employees, who are due full labor rights and benefits in California....

What Is the Connection? Understanding Shared Micromobility Links to Rail Public Transit Systems in Major California Cities

Shaheen, Susan
Martin, Elliot
Ju, Mengying
2024

As shared micromobility (bikes and scooters) has proliferated throughout urban areas, there has been growing interest in how it facilitates connections with rail transit systems. This study explores the magnitude of interactions between shared micromobility and rail public transit systems using shared micromobility trip data and rail transit schedule data. We evaluate over one million trips from October 2019 to February 2020 in four California cities (San Francisco, Los Angeles, Sacramento, and San Jose) and develop criteria to identify trips connecting to rail transit. These include...