Transportation Sustainability Research Center's Stephen Wong quoted in a Transport Topics article on disaster response. The article discusses different strategies for disaster response, particularly in light of Hurricane Laura, a Category 4 storm, making landfall in August 2020.
BERKELEY — A U.C. Berkeley team that conducted wildfire evacuation focus group research in Lake County released a report this week that recommends more use by government agencies of the sharing economy during disaster evacuations.
The report, entitled “Current State of the Sharing Economy and Evacuations: Lessons from...
Stephen Wong, PhD, Jacquelyn Broader, Susan Shaheen, PhD
2022
Recent wildfire risks in California have prompted the implementation of public safety power shutoff (PSPS) events, procedures enacted by utility operators to de-energize parts of the electrical grid and reduce the likelihood of wildfire ignition. Despite their yearly occurrence, PSPS events are severely understudied, and little is known about how these events impact disaster preparation activity, travel behavior, and transportation systems. With growing wildfire risks in North America and beyond, PSPS events require immediate and thorough research to reduce their negative externalities and...
Stephen Wong, PhD, Jacquelyn Broader, Adam Cohen, Susan Shaheen, PhD
2021
Evacuation and response plans require thoughtful strategies that build mandatory evacuation order compliance, reduce vehicular congestion, and increase social equity for disadvantaged populations. However, the novel coronavirus (COVID-19) pandemic coincided with a series of devastating disasters in 2020 that have required mass evacuations, leading to several new compounding effects (i.e., “double the trouble”). Strategies typically used in evacuations (e.g., high-capacity vehicles and public congregate shelters) and movements of people (e.g., evacuees, first responders, and...
Evacuations are a primary transportation strategy to protect populations from natural and humanmade disasters. Recent evacuations, particularly from hurricanes and wildfires, have exposed three critical evacuation challenges: 1) persistent evacuation non-compliance to mandatory evacuation orders; 2) poor transportation response, leading to heavy congestion, slow evacuation clearance times, and high evacuee risk; and 3) minimal attention in ensuring all populations, especially those most vulnerable, have transportation and shelter. With ongoing climate change and increasing land...
Well planned and coordinated evacuations are critical to saving lives during natural disasters (e.g., hurricanes, wildfires) and human-caused disasters (e.g., chemical spills, terrorism). To complicate matters, recent wildfires in the western United States (U.S.) and multiple hurricanes in the Gulf Coast have coincided with the novel coronavirus (COVID-19) pandemic. As of mid-October 2020, the COVID-19 pandemic has led to over 7.9 million positive cases and over 217,000 deaths in the U.S. alone. Stay-at-home orders and social distancing measures that were introduced to address COVID-...
Ensuring social equity in evacuations and disasters remains a critical challenge for many emergency management and transportation agencies. Recent sharing economy advances – including transportation network companies (TNCs, also known as ridehailing and ridesourcing), carsharing, and homesharing – may supplement public resources and ensure more equitable evacuations. To explore the social equity implications of the sharing economy in disasters, we conducted four focus groups (n=37) of vulnerable populations impacted by California wildfires in 2017 or 2018. To structure these data, we...
Stephen Wong, Caspar Chorus, Susan Shaheen, and Joan Walker
2020
Regret is often experienced for difficult, important, and accountable choices. Consequently, we hypothesize that random regret minimization (RRM) may better describe evacuation behavior than traditional random utility maximization (RUM). However, in many travel related contexts, such as evacuation departure timing, specifying choice sets can be challenging due to unknown attribute levels and near-endless alternatives, for example. This has implications especially for estimating RRM models, which calculates attribute-level regret via pairwise comparison of attributes across all...
This paper examines the opportunities for addressing evacuations by leveraging the sharing economy. To support this research, we use a mixed-method approach employing archival research of sharing economy actions, 24 high-ranking expert interviews, and a survey of individuals impacted by Hurricane Irma in 2017 (n=645). Using these data, we contribute to the literature in four key ways. First, we summarize sharing economy company actions in 30 U.S. disasters. Second, we discuss results from 24 expert interviews on 11 sharing economy benefits (ranging from resource redundancy to...
Stephen Wong, Adam Pel, Susan Shaheen, and Caspar Chorus
2020
This paper analyzes the observed decision-making behavior of a sample of individuals impacted by Hurricane Irma in 2017 (n = 645) by applying advanced methods based in discrete choice theory. Our first contribution is identifying population segments with distinct behavior by constructing a latent class choice model for the choice whether to evacuate or not. We find two latent segments distinguished by demographics and risk perception that tend to be either evacuation-keen or evacuation-reluctant and respond differently to mandatory evacuation orders.