Do transportation network companies decrease or increase congestion?
This research examines whether transportation network companies (TNCs), such as Uber
and Lyft, live up to their stated vision of reducing congestion in major cities. Existing …
and Lyft, live up to their stated vision of reducing congestion in major cities. Existing …
Do transportation network companies increase or decrease transit ridership? Empirical evidence from San Francisco
Transportation network companies (TNCs), such as Uber and Lyft, have been hypothesized
to both complement and compete with public transit. Existing research on the topic is limited …
to both complement and compete with public transit. Existing research on the topic is limited …
The visual analytics of big, open public transport data–a framework and pipeline for monitoring system performance in Greater Sydney
Many cities, countries and transport operators around the world are striving to design
intelligent transport systems. These systems capture the value of multisource and multiform …
intelligent transport systems. These systems capture the value of multisource and multiform …
[HTML][HTML] State of the BART: Analyzing the determinants of bay area rapid transit Use in the 2010s
JL Wasserman, BD Taylor - Transportation Research Part A: Policy and …, 2023 - Elsevier
Peaking on public transit—the concentration of ridership in peak times and directions into
and out of central areas—has waxed in the US over the past century, as public transit has …
and out of central areas—has waxed in the US over the past century, as public transit has …
Evaluating the ability of transit direct ridership models to forecast medium-term ridership changes: evidence from san Francisco
RA Mucci, GD Erhardt - Transportation Research Record, 2018 - journals.sagepub.com
Transit direct ridership models (DRMs) are commonly used both for descriptive analysis and
for forecasting, but are rarely evaluated for their ability to predict beyond the estimation data …
for forecasting, but are rarely evaluated for their ability to predict beyond the estimation data …
[HTML][HTML] Simulating the effect of strategies to increase transit ridership by reallocating bus service: Two case studies
We evaluate three strategies that transit operators might consider to increase ridership: a)
increasing service on bus routes serving the highest share of low-income riders, b) …
increasing service on bus routes serving the highest share of low-income riders, b) …
[HTML][HTML] Transit Blues in the Golden State: Regional transit ridership trends in California
JL Wasserman, BD Taylor - Journal of Public Transportation, 2022 - Elsevier
abstract Public investment in transit increased following the Great Recession, yet transit use
nationally mostly fell, even prior to the 2020 pandemic. We investigate this troubling …
nationally mostly fell, even prior to the 2020 pandemic. We investigate this troubling …
[PDF][PDF] Understanding the role and relevance of the census in a changing transportation data landscape
GD Erhardt, A Dennett - Applying Census Data for Transportation, 2017 - onlinepubs.trb.org
The US Census has long been an important data source for transportation planning and
forecasting. The population and housing data provide the basis for populating TAZs; …
forecasting. The population and housing data provide the basis for populating TAZs; …
Recommendations for big data programs at transportation agencies
Big data that record mobility patterns have the potential to provide important insight to
transportation agencies about how to better plan and operate the transportation system …
transportation agencies about how to better plan and operate the transportation system …