Rail

Achieving Higher Taxi Outflows from a Congested Drop-off Lane: A Simulation-Based Policy Study

Yang, Fangyi
Gu, Weihua
Michael Cassidy
Li, Xin
Li, Tiezhu
2019

We examine special lanes used by taxis and other shared-ride services to drop-off patrons at airport and rail terminals. Vehicles are prohibited from overtaking each other within the lane. They must therefore wait in a first-in-first-out queue during busy periods. Patrons are often discharged from vehicles only upon reaching a desired drop-off area near the terminal entrance. When wait times grow long, however, some vehicles discharge their patrons in advance of that desired area. A train station in Eastern China is selected as a case study. Its FIFO drop-off lane is presently managed by...

Could Transportation Network Companies Help Improve Rail Commuting?

Darling, Wesley
Michael Cassidy
2024

Commuter rail is known to have a “first- and last-mile” problem (i.e., a lack of options for getting commuters to and from a rail station). The first- and last-mile dilemma creates inequalities in access. For example, high-income commuters drive to work (forgoing transit altogether), middle-income commuters drive to a rail station and pay to park, and low-income commuters rely on feeder buses or walking to reach a rail station. Transportation network companies (TNCs), like Uber and Lyft, are a viable option for connecting travelers to rail stations, especially for those who don’t own a car...

Smart Parking Management Field Test: A Bay Area Rapid Transit (BART) District Parking Demonstration

Susan Shaheen
Rodier, Caroline, PhD
2006

Smart parking management technologies may provide a cost-effective tool to address near-term parking constraints at transit stations. Smart parking management systems have been implemented in numerous European, British, and Japanese cities to more efficiently use parking capacity at transit stations by providing real-time information via changeable message signs to motorists about available parking spaces in park-and-ride lots. This working paper describes the interim results of a smart parking field operational test, which operated at a San Francisco Bay Area Rapid Transit (BART) District...

Carsharing and the Built Environment: Geographic- Information System-Based Study of One U.S Operator

Stillwater, Tai
Mokhtarian, Patricia L.
Susan Shaheen
2009

The use of carsharing vehicles over a period of 16 months in 2006-07 was compared to built environment and demographic factors in this GIS-based multivariate regression study of an urban U.S. carsharing operator. Carsharing is a relatively new transportation industry in which companies provide members with short-term vehicle access from distributed neighborhood locations. The number of registered carsharing members in North America has doubled every year or two to a current level of approximately 320,000. Researchers have long supposed that public transit access is a key factor driving...

Smart Parking Pilot on the Coaster Commuter Rail Line in San Diego, California

Rodier, Caroline
Susan Shaheen
Blake, Tagan
2010

Public transit authorities increasingly are harnessing advances in sensor, payment, and enforcement technologies to operate parking facilities more efficiently. In the short term, these innovations promise to enhance customer parking experiences, increase the effective supply of existing parking with minimal investment, and increase ridership and overall revenue. Over the longer term, these systems could further expand ridership by generating revenue to add parking capacity and improve access. This report describes the Smart Parking Pilot Project on the COASTER commuter rail line in San...

Mobility and the Sharing Economy: Potential to Overcome First- and Last-Mile Public Transit Connections

Susan Shaheen
Chan, Nelson
2016

Shared mobility—the shared use of a motor vehicle, bicycle, or other mode—enables travelers to gain short-term access to transportation modes on an as-needed basis. The term “shared mobility” includes the modes of carsharing, personal vehicle sharing (peer-to-peer carsharing and fractional ownership), bikesharing, scooter sharing, traditional ridesharing, transportation network companies (or ridesourcing), and e-Hail (taxis). It can also include flexible transit services, including microtransit, which supplement fixed-route bus and rail services. Shared mobility has proliferated in global...

Rail Transit Ridership Changes in COVID-19: Lessons for Station Area Planning in California

Li, Meiqing
Daniel Rodriguez
Pike, Susie
McNally, Michael
2025

Emerging evidence suggests that the recovery of transit ridership post-COVID has been uneven, especially for rail transit. This study aims to understand the station area land use, built form, and transit network characteristics that explain station-level changes in transit ridership pre- and post-COVID, and explores the degree to which those changes are rail transit-specific or the result of overall changes in visits to station areas. Specifically, we examine ridership changes between 2019 and 2021 for 242 rail stations belonging to the Bay Area Rapid Transit (BART), San Diego Metropolitan...

Futures Market for Demand Responsive Travel Pricing

Fournier, Nicholas
Anthony Patire
Alexander Skabardonis
2023

While transportation funding can be collected in a variety of direct (e.g., fares, tolls, and gas taxes) or indirect (e.g., property and sales tax) ways, dynamic demand responsive pricing not only collects revenue but also incentivizes travelers to avoid peak-demand periods, thus utilizing infrastructure capacity more efficiently. Unfortunately, the demand response to price changes, called the price elasticity of demand, is generally greater for longer-term travel planning (e.g., air and rail travel) than it is for more atomized short-term planning (e.g., highway tolls and transit fares)....

Light Rail Accident Involvement and Severity

Chira-Chavala, T.
Coifman, B.
Porter, C.
Hansen, M.
1996

Accident causation and accident severity analyses for a light rail transit system are presented, with a view to providing input for the identification and development of accident and severity countermeasures. Accident reports of the Santa Clara County Transit Authority were used in both analyses. In the accident causation analysis, patterns of critical events for various types of light rail accident involvement were determined. The accident severity model is a binary logit model expressing the probability of injury accident as a function of speeds before collision of both the light rail...