Modeling

A Pilot Model for Estimating Pedestrian Intersection Crossing Volumes

Schneider, Robert J.
Arnold, Lindsay S.
Ragland, David R.
2008

Better data on pedestrian volumes are needed to improve the safety, comfort, and convenience of pedestrian movement. This requires more carefully-developed methodologies for counting pedestrians as well as improved methods of modeling pedestrian volumes. This paper describes the methodology used to create a simple, pilot model of pedestrian intersection crossing volumes in Alameda County, CA. The model is based on weekly pedestrian volumes at a sample of 50 intersections with a wide variety of surrounding land uses, transportation system attributes, and neighborhood socioeconomic...

Effectiveness of a Commercially Available Automated Pedestrian Counting Device in Urban Environments: Comparison with Manual Counts

Greene-Roesel, Ryan
Diogenes, Mara Chagas
Ragland, David R.
Lindau, Luis Antonio
2008

High-quality continuous counts of pedestrian volume are necessary to evaluate the effects of pedestrian infrastructure investments and to improve pedestrian volume modeling. Automated pedestrian counting devices can meet the need for continuous counts of pedestrian volume and reduce the labor cost associated with manual pedestrian counting and data entry. However, most existing automated pedestrian devices are not well suited to the task of counting pedestrians in outdoor environments, and little is known about their effectiveness and accuracy. This study addresses the lack of performance...

Impact of Traffic States on Freeway Collision Frequency

Yeo, Hwasoon
Jang, Kitae
Skabardonis, Alexander
2010

Freeway collisions are thought to be affected by traffic states. To reduce the number of collisions, the study to reveal how the traffic states influence collisions are required. Therefore, the purpose of the paper is to suggest a method to relate traffic states to collision frequency in freeway. We first defined section- based traffic phases showing traffic state of a section using upstream and downstream traffic states: free flow (FF), back of queue (BQ), bottleneck front (BN) and congestion (CT). Secondly, by integrating freeway collision data and traffic data from the California PeMS...

Estimating Pedestrian Accident Exposure: Approaches to a Statewide Pedestrian Exposure Database

Greene-Roesel, Ryan
Diogenes, Mara Chagas
Ragland, David R.
2007

This report discusses approaches to addressing the need for better and more widely available pedestrian volume data in the state of California. While a variety of approaches could be used, this report focuses on the strategy of a statewide pedestrian volume database. This database would meet a variety of data needs for different stakeholder groups. One of its principal purposes would be to allow safety professionals at the state and local levels to estimate pedestrian exposure to risk at specific sites. Since exposure data is essentially equivalent to facility usage data, a pedestrian...

Evaluating the Public Perception of a Feebate Policy in California through the Estimation and Cross-Validation of an Ordinal Regression Model

Martin, Elliot, PhD
Shaheen, Susan, PhD
Lipman, Timothy
Camel, Madonna
2014

Understanding the roots of policy perception can be critical for informing the design and implementation of innovative public policies; Feebates is one such innovative policy and in the context of new vehicles can be designed to offer buyers a rebate for the purchase of low-emission vehicles and a fee for the purchase of high-emission vehicles; Because feebates is a policy that directly impacts the consumer, understanding the dynamics of public perception, support, and opposition is important; This study explores the public perception of a feebate policy within California and evaluates the...

Bridging the Income and Digital Divide with Shared Automated Electric Vehicles

Lazarus, Jessica
Bauer, Gordon, PhD
Greenblatt, Jeffery, PhD
Shaheen, Susan, PhD
2021

This research investigates strategies to improve the mobility of low-income travelers by incentivizing the use of electric SAVs (SAEVs) and public transit. We employ two agent-based simulation engines, an activity-based travel demand model of the San Francisco Bay Area, and vehicle movement data from the San Francisco Bay Area and the Los Angeles Basin to model emergent travel behavior of commute trips in response to subsidies for TNCs and public transit. Sensitivity analysis was conducted to assess the impacts of different subsidy scenarios on mode choices, TNC pooling and match rates,...

Casual Carpooling in the San Francisco Bay Area: Understanding User Characteristics, Behaviors, and Motivations

Shaheen, Susan, PhD
Chan, Nelson
Gaynor, Theresa
2016

Casual carpooling is an informal form of commuter ridesharing operating in Washington, D.C.; Houston, Texas; and San Francisco, California. In contrast to new forms of shared-use mobility, casual carpooling has been in existence for over 30 years and uses no information communication technology, and is entirely run informally by its users. Researchers have been fascinated by this phenomenon and have conducted studies in the past, but there remains a lack of up-to-date quantitative data. This study examines the motivations and behaviors of casual carpoolers in the San Francisco Bay Area to...

Mobility on Demand Planning and Implementation: Current Practices, Innovations, and Emerging Mobility Futures

Shaheen, Susan
Cohen, Adam
Broader, Jacquelyn
Davis, Richard
Brown, Les
Neelakantan, Radha
Gopalakrishna, Deepak
2020

This report provides Mobility on Demand (MOD) planning and implementation practices and tools to support communities. The report discusses different stakeholders in the MOD ecosystem and the role of partnerships in filling spatial, temporal, and other service gaps. Additionally, the report discusses how MOD can be integrated into transportation planning and modeling. The report also discusses shared mobility implementation considerations, such as rights-of-way management, multimodal integration, data sharing, equity, labor impacts, and the role of pilot evaluations. Finally, the report...

Shared Mobility Policy and Modeling Workshop

Shaheen, Susan, PhD
Cohen, Adam
Farrar, Emily
2019

The market for personal mobility is changing rapidly due to shifting social and cultural trends, as well as technological advances, such as smartphones, information processing, widespread data connectivity, sharing, and vehicle automation. Shared, on-demand mobility represents a sustainable vision for future mobility with a reliable network of multimodal options that are available to all travelers. On March 22, 2019, the Local Government Commission (LGC) and the Transportation Sustainability Research Center (TSRC) at the University of California, Berkeley hosted the Caltrans Shared...

Micromobility Evolution and Expansion: Understanding How Docked and Dockless Bikesharing Models Complement and Compete – A Case Study of San Francisco

Lazarus, Jessica
Pourquier, Jean Carpentier
Feng, Frank
Hammel, Henry
Shaheen, Susan
2020

Shared micromobility – the shared use of bicycles, scooters, or other low-speed modes – is an innovative transportation strategy growing across the United States that includes various service models such as docked, dockless, and e-bike service models. This research focuses on understanding how docked bikesharing and dockless e-bikesharing models complement and compete with respect to user travel behaviors. To inform our analysis, we used two datasets from February 2018 of Ford GoBike (docked) and JUMP (dockless electric) bikesharing trips in San Francisco. We employed three methodological...