Data

Strategies for Improving Pedestrian Safety: Cases from Jalisco and Michoacán, Mexico

Carolyn McAndrews
Elizabeth Deakin
Alfredo Celis De la Rosa
2008

In developing countries, the growing use of autos is creating a clash with pedestrians. Pedestrian-vehicle collisions clearly have immediate negative consequences on public health. In the longer run, if walking is not safe, comfortable, and convenient, it is likely to decline as a mode of travel in countries where households and individuals increasingly have the means to choose alternatives. Even so, most people will continue to walk for many trips, and with increasing motorization will be at risk of harm unless the safety and comfort of the walking environment is improved. We use data...

Impact of the COVID-19 Pandemic and Generational Heterogeneity on Ecommerce Shopping Styles – A case study of Sacramento, California

Qianhua Luo
Teddy Forscher
Susan Shaheen
Elizabeth Deakin
Joan Walker
2023

The COVID pandemic has accelerated the growth of ecommerce and reshaped shopping patterns, which in turn impacts trip-making and vehicle miles traveled. The objectives of this study are to define shopping styles and quantify their prevalence in the population, investigate the impact of the pandemic on shopping style transition, understand the generational heterogeneity and other factors that influence shopping styles, and comment on the potential impact of the pandemic on long-term shopping behavior. Two months after the initial shutdown (May/June 2021), we collected ecommerce behavioral...

The effects of driving restrictions on travel behavior evidence from Beijing

Yizhen Gu
Elizabeth Deakin
Ying Long
2017

We examine the effects of Beijing’s driving restrictions on individual travel behavior. The restrictions prohibit drivers from using their vehicles one weekday per week on the basis of the license plate number. Using the 2010 Beijing Household Travel Survey data, we find that driving restrictions have significant effects on auto trip frequency and thus vehicle miles traveled, suggesting substitution toward other modes. We also find evidence of the differential effects across subgroups of drivers. This suggests a variation in willingness to pay for auto use, which is not addressed by the...

Analyzing Equity Impacts of Transit Fare Changes: Case Study of Alameda-Contra Costa Transit, California

Aaron Golub
Elizabeth Deakin
Cornelius Kofi Nuworsoo
2006

Many transit agencies, faced with budget shortfalls, must consider increasing fares. This paper analyzes the case of the Alameda-Contra Costa Transit District (AC Transit). In March 2005, AC Transit put forth five alternative fare proposals for public discussion. The proposed fare structures included combinations of fare hikes, base fare reductions, eliminations of free transfers, and discontinuation of periodic passes. Using data from the agency’s 2002 on-board survey, the paper assessed the impacts of the various fare proposals on different subsets of riders and evaluated the equity of...

Reviving public transit ridership to downtowns and employment centers: Case Studies of San Francisco, San Jose, Oakland, Berkeley, and Walnut Creek

Elizabeth Deakin
Egon Terplan
Maya Najjar
Kathryn Exon Smith
2024

This paper examines transit ridership and its role in downtowns in five San Francisco Bay Area cities pre- and post-COVID. We analyze transit ridership data from 2019 and 2022-24, review transit agency responses to COVID’s consequences, and examine the plans and proposals for downtowns adopted by the cities and those developed by business improvement districts (BIDs). We draw upon focus groups we held with transit users and interviews we conducted with key stakeholders to gain additional information and insights. We found that trips to, from and within our five case study downtowns account...

Markets for Dynamic Ridesharing?: Case of Berkeley, California

Elizabeth Deakin
Karen Trapenberg Frick
Kevin M. Shively
2010

Ridesharing programs are widespread across the United States. Dynamic ridesharing is a newer way to share rides on the fly or up to several days in advance using cell phone or computer messaging to make arrangements. This paper describes research conducted to assess the potential for dynamic ridesharing for travel to downtown Berkeley, California, and the University of California, Berkeley, campus. The study provides insights about the opportunities and challenges presented by this travel option. Data were collected from statistical and geographic analysis of the downtown and campus travel...

Introduction: Transportation Planning as an Integral Part of Urban Development: The Emerging Paradigm

Elizabeth Deakin
2008

Transportation planners and engineers often focus on specific areas of expertise, such as particular modes of transport, or air quality effects of transportation. Increasingly, however, Californians are reminded that such focused specializations, while valuable, are insufficient by themselves. Current efforts to meet stringent greenhouse gas reduction targets while accommodating growth and counteracting economic downturn show just how complex and interconnected urban development issues are. The emerging paradigm is one that integrates transportation planning into a broader metropolitan...

Impact of Peak and Off-Peak Tolls on Traffic in San Francisco–Oakland Bay Bridge Corridor in California

Ian Barnes
Karen Trapenberg Frick
Elizabeth Deakin
Alexander Skabardonis
2012

The San Francisco–Oakland Bay Bridge is located in the heart of the San Francisco Bay Area in California and connects two of the largest cities in northern California over San Francisco Bay. In July 2010, the Bay Area Toll Authority (BATA) increased tolls on the San Francisco–Oakland Bay Bridge from a flat toll collected westbound only to weekday peak and off-peak tolls. BATA also instituted a carpool toll of $2.50 (previously carpools crossed for free) payable by FasTrak electronic toll collection tag only. With floating-car data provided by BATA, the change in travel time for the I-80, I...

Optimal Sampling Strategies for Statistical Models with Discrete Dependent Variables

Carlos Daganzo
1980

The object of this paper is to improve the cost-effectiveness of data gathering procedures for models with discrete dependent variables. It is assumed throughout the paper that the true value of the parameter vector is approximately known and that, with that information, one must select a statistically optimal number of observations from different population subgroups to refine the accuracy of the estimate. It is shown that the problem can be reduced to a small mathematical program whose objective function can be written after a few preliminary algebraic manipulations. For binary choice...

Multinomial Probit with Time-Series Data: Unifying State Dependence and Serial Correlation Models

Carlos Daganzo
Sheffi, Y.
1982

This paper develops a general method for treating discrete data sets containing individuals that have made more than one choice under varying stimuli. The multinomial probit model is shown to possess properties that make it very attractive for this application, as with it, it is possible to develop an estimation process that uses all the information in the data, and is both relatively inexpensive and consistent with utility maximization. The method, which is a generalization of Heckman's binary model, can include taste variations and more than two alternatives.