Rail

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)....

Transit Access and the Agglomeration of New Firms : A Case Study of Portland and Dallas.

Noland, Robert B.
Chatman, Daniel G.
Klein, Nicholas J.
2014

The objective of this paper is to examine whether new firms are more likely to form near rail transit stations. Two relatively new light-rail systems—one in Portland, Oregon, and the other in Dallas, Texas—form the basis of the analysis. A geocoded, time-series database of firm births from 1991 through 2008 is analyzed using all firm births, firm births of various sizes, and firm births of specific industry sectors. A random effects, negative binomial model is used to examine associations between proximity to rail stations and other spatially defined variables. Results show that newly...

Firm Births, Access to Transit, and Agglomeration in Portland, Oregon, and Dallas, Texas

Chatman, Daniel G.
Noland, Robert B.
Klein, Nicholas J.
2016

The formation of new firms is one process by which economies grow and innovate. Public transportation services may facilitate the birth of new firms by both providing better access and causing local densification that leads to agglomeration economies. In this study firm births are investigated to determine how they are related to newly provided light rail transit service in two metropolitan areas in the United States. A geocoded time-series database of firm establishments in Dallas, Texas, and Portland, Oregon, from 1991 through 2008 is used. The data set allows the study of spatial...

Evaluating the Economic Impacts of Light Rail by Measuring Home Appreciation: A First Look at New Jersey’s River Line

Chatman, Daniel G.
Tulach, Nicholas K.
Kim, Kyeongsu
2012

Economic benefits are sometimes used to justify transport investments. Such was the case with the River Line of southern New Jersey, USA, which broke ground in 2000 and began operating in 2004. Recently, the line has been performing near full capacity and there is evidence that it has spurred development. Disaggregate data on owned-home appreciation are used to investigate the initial economic impacts of the line, looking carefully at non-linearity in the appreciation gradient, differential effects of station ridership and parking, redistribution of property appreciation gains and...

Does Transit-Oriented Development Need the Transit?

Chatman, Daniel G.
2015

Urban planners have invested a lot of energy in the idea of transit-oriented developments (TODs). Developing dense housing near rail stations with mixed land uses and better walkability is intended to encourage people to walk, bike, and take transit instead of driving. But TODs can also be expensive, largely because rail itself is expensive. In one study, the average cost for light rail construction was $61 million per mile in 2009...

Does TOD Need the T?: On the Importance of Factors Other Than Rail Access

Chatman, Daniel G.
2013

Problem, research strategy, and findings: Transit-oriented developments (TODs) often consist of new housing near rail stations. Channeling urban growth into such developments is intended in part to reduce the climate change, pollution, and congestion caused by driving. But new housing might be expected to attract more affluent households that drive more, and rail access might have smaller effects on auto ownership and use than housing tenure and size, parking availability, and the neighborhood and subregional built environments. I surveyed households in northern New Jersey living within...

An Analysis of the Agglomeration Benefits of Transit Investment: A Case Study of Portland and Dallas

Noland, Robert B.
Chatman, Daniel G.
Klein, Nicholas J.
2013

The objective of this paper is to examine whether new firms are more likely to form near rail transit stations. Two relatively new light-rail systems, one in Portland, Oregon and the other in Dallas, Texas form the basis of the analysis. A geo-coded time-series database of firm births from 1991 through 2008 is analyzed using all firm births, firm births of various sizes, and firm births of specific industry sectors. A random effects negative-binomial model is used to examine associations between proximity to rail stations and other spatially defined variables. Results show that newly...

Review of “Bay Area/California High-Speed Rail Ridership and Revenue Forecasting Study”

Brownstone, David
Hansen, Mark
Madanat, Samer
2010

We have reviewed the key components of the California High Speed Rail Ridership Studies. The primary contractor for these studies, Cambridge Systematics (CS), has followed generally accepted professional standards in carrying out the demand modeling and analysis. Nevertheless we have found some significant problems that render the key demand forecasting models unreliable for policy analysis. This Executive Summary describes the most serious problems. The body of this report elaborates on these problems and describes additional concerns we have. In broad terms, the approach taken by CS...