In the last ten years transit use in Southern California has fallen significantly. This report investigates that falling transit use. We examine patterns of transit service and patronage over time and across the region, and consider an array of explanations for falling transit use: declining transit service levels, eroding transit service quality, rising fares, falling fuel prices, the growth of Lyft and Uber, the migration of frequent transit users to outlying neighborhoods with less transit service, and rising vehicle ownership. While all of these factors probably play some role, we conclude that the most significant factor is increased motor vehicle access, particularly among low-income households that have traditionally supplied the region with its most frequent and reliable transit users.
View this complete post...Posts Tagged ‘ITS’
Falling Transit Ridership: California and Southern California
Friday, February 9th, 2018Disruptive Transportation: The Adoption, Utilization, and Impacts of Ride-Hailing in the United States
Monday, October 23rd, 2017The rapid adoption of ride-hailing poses significant challenges for transportation researchers, policymakers, and planners, as there is limited information and data about how these services affect transportation decisions and travel patterns. Given the long-range business, policy, and planning decisions that are required to support transportation infrastructure (including public transit, roads, bike lanes, and sidewalks), there is an urgent need to collect data on the adoption of these new services, and in particular their potential impacts on travel choices.
View this complete post...Is this the future?
Wednesday, July 19th, 2017It sounds a bit futuristic – transportation systems that direct people and resources based on artificial intelligence. Is that really a possibility? Actually, it’s happening now – in real time! When smart transportation technology first became part of the ever-changing transportation landscape, it was used primarily for traffic management. Now, smart transportation technology is used for much more, and when it incorporates artificial intelligence, the capabilities are astounding.
View this complete post...How Data Helps Get You There Faster
Wednesday, December 30th, 2015Traditionally, pavement inductive loop sensors are used to collect real time traffic data for passenger-freight movement in roadways. This method, however, is expensive to install and maintain. In the last decade, significant improvements have been achieved in MEMS sensors domain with respect to size, cost and accuracy. Motivated by these novel advances, we proposed a wireless MEMS sensor based passenger-freight interactions detection framework for Intelligent Transportation Systems (ITS). Our proposed solution will be significantly cost effective in comparison to traditional induction loop approach and it is scalable to cover millions miles of roadways all over the US.
View this complete post...Transitioning to Low-Carbon Trucks
Tuesday, June 16th, 2015NATIONAL CENTER FOR SUSTAINABLE TRANSPORTATION
UC DAVIS INSTITUTE OF TRANSPORTATION STUDIES
The United States and California have both made commitments to an 80% reduction in energy-related greenhouse gases (GHGs) from 1990 levels by 2050 in order to help stabilize atmospheric concentrations of greenhouse gases. These commitments do not specifically target transportation or an individual transport mode.
This white paper reviews previous studies and provides a new investigation into the feasibility of achieving an 80% reduction in CO2-equivalent (CO2e) GHG emissions in the United States and California from trucks in the 2050 time frame (“80-in-50”). We assess the technological and economic potential of achieving deep market penetrations of low-carbon vehicles and fuels, including vehicles operating on electricity, hydrogen, and biofuels.
View this complete post...Mitigating Run-Off-Road Crashes
Wednesday, August 28th, 2013INTELLIGENT TRANSPORTATION SYSTEMS INSTITUTE
UNIVERSITY OF MINNESOTA
While substantial steps have been taken to flatten curves, widen roads/shoulders, impose barriers, and remove collision-prone objects, ROR crashes consistently account for nearly half of all fatal crashes. The introduction of rumble strips to notify drivers of an impending lane departure has spurred other methods of notifying and preventing lane departures via in-vehicle systems (e.g. auditory/visual warnings and haptic/tactile alerts). While these Lane Departure Warning Systems (LDWS) show some promise in successfully warning drivers of impending lane departures, their ability to appropriately capture attention, convey information, and guide an appropriate response must still be refined to consistently prevent ROR crashes.
Feasibility of Using GPS to Track Bicycle Lane Positioning
Monday, April 1st, 2013INTELLIGENT TRANSPORTATION SYSTEMS INSTITUTE
Researchers have shown that GPS units in smartphones can be used to identify routes taken by cyclists, including whether cyclists deviate from shortest paths to use bike lanes and other facilities. Researchers previously have not reported whether GPS tracking can be used to monitor whether and how bicyclists actually use lanes on streets, where these lanes have been provided, or other types of facilities.
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