UC Berkeley Transportation Sustainability Research Center

Between 2017 and 2019, California experienced a series of devastating wildfires that together led over one million people to be ordered to evacuate. Due to the speed of many of these wildfires, residents across California found themselves in challenging evacuation situations, often at night and with little time to escape. These evacuations placed considerable stress on public resources and infrastructure for both transportation and sheltering. In the face of these clear challenges, transportation and emergency management agencies across California have widely varying levels of preparedness for major disasters, and nearly all agencies do not have the public resources to adequately and swiftly evacuate all populations in danger. To holistically address these challenges and bolster current disaster and evacuation planning, preparedness, and response in California, we summarize the evacuations of eleven major wildfires in California between 2017 and 2019 and offer a cross-comparison to highlight key similarities and differences. We present results of new empirical data we collected via an online survey of individuals impacted by: 1) the 2017 October Northern California Wildfires (n=79), 2) the 2017 December Southern California Wildfires (n=226), and 3) the 2018 Carr Wildfire (n=284). These data reveal the decision-making of individuals in these wildfires including choices related to evacuating or staying, departure timing, route, sheltering, destination, transportation mode, and reentry timing. We also present results related to communication and messaging, non-evacuee behavior, and opinion of government response. Using the summarized case studies and empirical evidence, we present a series of recommendations for agencies to prepare for, respond to, and recover from wildfires.

The Mobility on Demand (MOD) Sandbox Demonstration Program provides a venue through which integrated MOD concepts and solutions – supported through local partnerships – are demonstrated in real-world settings. For each of the 11 MOD Sandbox Demonstration projects, the MOD Sandbox Independent Evaluation includes an analysis of project impacts from performance measures provided by the project partners, as well as an assessment of the business models used. This report constitutes the Evaluation Plan for the Pinellas Suncoast Transit Authority (PSTA) Public-Private-Partnership for Paratransit Mobility on Demand Demonstration (P4-MOD) Sandbox project. It includes the following chapters: project overview; evaluation approach and process; evaluation schedule and management; and data collection and analysis plan.

This project is a two-year evaluation of pricing/incentives applied to the one-way, all electric carsharing system operated by car2go in San Diego, CA. This system is the only electric vehicle-based, one-way carsharing system with instant access (i.e., accessible without reservation) operating in the U.S. The goal of this project is to work with car2go and the San Diego region to develop and evaluate pricing/incentive structures for their members, which improve system operational efficiency (vehicle redistribution, state-of-charge management, use of vehicles placed at public transit stations) and encourage shared-vehicle use.

Carsharing offers consumers short-term access to vehicles, which facilitates better mobility and reduces the need for personal vehicle ownership. Carsharing does not require consumers to have automobile insurance. Instead, carsharing operators insure their members and are responsible for the risks and liabilities associated with vehicle use. Carsharing operators are burdened with obtaining cost-effective insurance under a usage model that lacks massive actuarial data and analysis. This study analyzes 28 operator years of trips and claims data from six carsharing operators in the United States (U.S.), with data spanning a time range of 2008 to 2015. A total of 328,726 valid trips and 125 valid insurance claims occurred during this period. From this data, we estimate crash risk, measured on per mile and per insured vehicle year basis. We estimate the average cost per insured-vehicle year of carsharing insurance to be US$789 for operators in our study. Substantially heightened risk is observed for older drivers above age 65 compared to other age brackets as well as national averages. Teenage and young adult drivers of ages 18-25, who traditionally have the highest risk, had only moderately higher risk compared to adults, which is likely due to driving experience and clean driving record requirements prior to obtaining membership. Mid-age adults of ages 30-65 had the lowest risk in all measures, as found in nationwide data. However, the actual risk of carsharing vehicles will vary by usage patterns and (other) unobserved factors; actual costs will also vary by insurance policy.

Carsharing (or short-term auto use) provides a flexible alternative that meets diverse transportation needs across the globe while reducing the negative impacts of private vehicle ownership. Although carsharing appeared in Europe between the 1940s and 1980s, the concept did not become popularized until the early 1990s. For nearly 20 years, worldwide participation in carsharing has been growing. Today, carsharing operates in approximately 600 cities around the world, in 18 nations and on 4 continents. Approximately 348,000 individuals share nearly 11,700 vehicles as part of organized carsharing services (>60% in Europe). Malaysia is operating a carsharing pilot, with a planned launch in 2007. Another eight countries are exploring carsharing. Thirty-three carsharing expert surveys were identified on an international basis. Cost savings, convenient locations, and guaranteed parking were identified as the most common motivations for carsharing use worldwide. An international comparison of carsharing operations, including similarities and differences, is provided. Continued growth is forecast, particularly among new and emerging market segments, such as businesses and universities. Growth-oriented operators will continue to account for the largest number of members and fleets deployed worldwide. In addition, high energy costs; limited and expensive parking; ongoing diffusion of operational knowledge, benefits, and supportive technologies; and increased demand for personal vehicle access in developing nations will affect carsharing’s growth and expansion.

Climate change is rapidly becoming known as a tangible issue that must be addressed to avoid major environmental consequences in the future. Recent change in public opinion has been caused by the physical signs of climate change–melting glaciers, rising sea levels, more severe storm and drought events, and hotter average global temperatures annually. Transportation is a major contributor of carbon dioxide (CO2) and other greenhouse gas emissions from human activity, accounting for approximately 14 percent of total anthropogenic emissions globally and about 27 percent in the U.S.Fortunately, transportation technologies and strategies are emerging that can help to meet the climate challenge. These include automotive and fuel technologies, intelligent transportation systems (ITS), and mobility management strategies that can reduce the demand for private vehicles. While the climate change benefits of innovative engine and vehicle technologies are relatively well understood, there are fewer studies available on the energy and emission impacts of ITS and mobility management strategies. In the future, ITS and mobility management will likely play a greater role in reducing fuel consumption. Studies are often based on simulation models, scenario analysis, and limited deployment experience. Thus, more research is needed to quantify potential impacts. Of the nine ITS technologies examined, traffic signal control, electronic toll collection, bus rapid transit, and traveler information have been deployed more widely and demonstrated positive impacts (but often on a limited basis). Mobility management approaches that have established the greatest CO2 reduction potential, to date, include road pricing policies (congestion and cordon) and carsharing (short-term auto access). Other approaches have also indicated CO2 reduction potential including: low-speed modes, integrated regional smart cards, park-and-ride facilities, parking cash out, smart growth, telecommuting, and carpooling.

The study found that roundtrip carsharing in NYC mostly serves as a substitute for car rental, other personal vehicle modes, and personal vehicle ownership. The analysis showed that the broader pilot program had a modest impact on user behavior through carsharing (i.e., reduced vehicle ownership, reduced VMT, and mode shift). It also found that the pilot program likely expanded the membership base of carsharing to demographic cohorts that are traditionally underrepresented in carsharing populations (i.e., increased participation by lower education levels, lower household incomes, minority demographics). The study also examined vehicle ownership impacts and changes in vehicle miles traveled (VMT) and greenhouse gas (GHG) emissions. Analysis of survey and activity data indicated that 7% of NYC carsharing members avoided a car purchase, and 0.61% of members got rid of a car they already owned due to carsharing. Across the membership base, VMT was reduced by 7% and GHG emissions were reduced by 6%. These findings showed that carsharing reduced VMT and delivered associated environmental benefits within NYC, and more broadly had a substantive impact on travel behavior among members in form of mode shift away from personal automotive modes.

Carsharing (or short-term auto use) provides a flexible alternative that meets diverse transportation needs across the globe, while reducing the negative impacts of private vehicle ownership. More than 65 years ago, carsharing began appearing in Europe. It has expanded to approximately 1,100 cities worldwide, in 26 nations on five continents. This article provides a global perspective of carsharing growth and future developments from 2006 through 2015, employing data from three surveys conducted in 2006, 2008, and 2010. The authors explore the interview findings of 25 carsharing experts worldwide representing 25 of 26 nations, collected in 2010.