| Canada Graduate Scholarship – Master’s (CGS-M) - NSERC | Award | 2025-04-01 | Ian Borody |
| University of Alberta Graduate Recruitment ScholarshipUniversity of Alberta Graduate Recruitment Scholarship | Award | 2024-09-01 | Ian Borody |
| Walter H Johns Graduate Fellowship | Award | 2025-04-01 | Ian Borody |
| Electric Vehicles and Emergency Evacuations: Infrastructure Challenges and Behavioural Insights from an Agent-Based Model | Activity | 2025-08-18 | Mohammad Hossein Babaei, Stephen David Wong |
| Electric Vehicles and Emergency Evacuations: Infrastructure Challenges and Behavioural Insights from an Agent-Based Model | Activity | 2025-10-06 | Mohammad Hossein Babaei, Stephen David Wong |
| Electric Vehicle Behaviour in DisastersPoster presentation covering the state of research and goals for discrete choice modeling to represent the behavior of EV users in disaster scenarios. Models made from survey responses obtained from respondents at high risk of wildfires within Alberta and British Columbia. Included descriptive statistics and preliminary results from the research obtained up to the date of the presentation. | Activity | 2024-03-14 | Mohammad Hossein Babaei, Stephen David Wong |
| Electric Vehicles and Emergency Evacuations: Infrastructure Challenges and Behavioural Insights from an Agent-Based Model | Activity | 2025-05-01 | Mohammad Hossein Babaei, Stephen David Wong |
| Electric Vehicles and Emergency Evacuations: Infrastructure Challenges and Behavioural Insights from an Agent-Based Model | Activity | 2025-08-01 | Mohammad Hossein Babaei, Stephen David Wong |
| Integration of Resilience in Transportation Infrastructure: Data and Research Opportunities | Activity | 2025-11-13 | Stephen David Wong |
| Systematic Review of Electric Vehicles, Resilience, and EvacuationsPoster presentation held at the TRB annual meeting over 3 days. Showcased the state of existing research on electric vehicle (EV) resilience during disasters and user behavior in these scenarios. Due to travel and visa limitations, the presentation was completed by Dr. Wong in Mohammad’s absence. | Activity | 2024-01-09 | Mohammad Hossein Babaei, Stephen David Wong |
| Systematic Review of Electric Vehicles, Resilience, and EvacuationsPoster presentation covering the literature review conducted as part of the research project. Outlined the landscape of existing research on the subject of EV resilience in disasters for attendees and stakeholders at the event. | Activity | 2024-03-14 | Mohammad Hossein Babaei, Stephen David Wong |
| Understanding Electric Vehicle Usage and Behavior during Evacuations from Disasters: An Discrete Choice Modeling ApproachThe rise in adoption of electric vehicles (EVs) presents a unique challenge for disaster planning. Their reliance upon the grid for fuel requires capable resilient electricity infrastructure to withstand the surge in demand from evacuees. For those living in areas highly vulnerable to wildfires, safe and resilient evacuations are especially important. Simultaneously, EVs present a novel opportunity to act as power sources that fulfill the electricity needs of communities that would otherwise be cut off from power. Their mobility makes them invaluable for transporting power to crucial facilities in emergencies. As such, the actions of EV-owners during disasters is critical in helping us understand how to prepare for outage events for the rapidly growing ubiquity of these vehicles. This research utilizes discrete choice models in an effort to understand electric vehicle-enabled actions and choices in wildfire-prone regions.
The models used in this research draw from the results of an evacuation study distributed among populations in the Canadian provinces of Alberta and British Columbia who are at high risk of exposure to wildfires. The survey encompasses factors such as risk perception, willingness to share, and potential behavior in evacuation scenarios with access to electric vehicles. These factors play a crucial role in shaping individual decisions during a disaster. The methodology involves utilizing Biogeme software to create discrete choice models that accurately represent the relationship between survey-taker responses and their EV-enabled actions. The procedure includes the development of various binary and multinomial logit models with the ultimate goal of finding a link between electric vehicle use and other vital user behaviors and during crises.
While the models are currently under development, it is anticipated that they will be fully completed within the next six months. We hope the results of these models will entice a comprehensive discussion of the results, implications, and potential applications. The research findings could hold significant value for informing policymakers, urban planners, and stakeholders involved in disaster evacuation and planning in wildfire-prone regions. The conclusions from this research will further aid the construction of an agent-based model (ABM) to fully understand the interactions of autonomous decision-makers within the context of EV resilience during disasters. The results from this research can inform targeted interventions to facilitate the safe and effective use of electric vehicles during outage events and evacuations. | Activity | 2024-09-25 | Mohammad Hossein Babaei, Stephen David Wong |
| Understanding Intended Electric Vehicle Usage and Travel Behaviour during Wildfire EvacuationsThe rise in the adoption of electric vehicles (EVs) presents a unique challenge for disaster planning. Their reliance on the grid for fuel requires capable and resilient electricity infrastructure to withstand the surge in demand during evacuation scenarios. This grid resilience is crucial for safe and resilient evacuations by those living in areas highly vulnerable to wildfires. On the other hand, EVs present a novel opportunity to act as power sources that fulfill the electricity needs of communities that would otherwise lose power. Unpinning both challenges and opportunities is how EV drivers will behave, especially related to charging. However, research on this behaviour in the context of disasters remains sparse. To address the behavioural gap, this study developed a series of discrete choice models to understand the factors that impact EV charging behaviour in a future wildfire. | Activity | 2025-01-07 | Mohammad Hossein Babaei, Stephen David Wong |
| Understanding Intended Electric Vehicle Usage and Travel Behaviour during Wildfire Evacuations | Activity | 2025-07-15 | Mohammad Hossein Babaei, Stephen David Wong |
| Should you worry about evacuating in an EV?Mohammad Babaei gave an interview for the Washington Post on considerations that should be made by EV owners in disasters when evacuating. He was featured as a key expert in the article. | Activity | 2025-04-10 | Mohammad Hossein Babaei, Stephen David Wong |
| Electric vehicles and resilient evacuations: A multi-method study of charging behaviour, decision-making, and infrastructure challengesThe increasing adoption of electric vehicles (EVs) presents both opportunities and challenges for disaster response and evacuation planning. While EVs offer sustainability benefits and the potential to supply power back to the grid through vehicle-to-grid (V2G) technology, their reliance on electricity introduces unique vulnerabilities, particularly in large-scale evacuations where charging infrastructure is limited. With significant threats from extreme weather and other hazards, the effectiveness of vehicular-based evacuations hinges on the resilience of EVs, related infrastructure, and energy systems. This thesis investigates the use of EVs in disasters through (1) a systematic literature review on EV resilience, (2) a discrete choice analysis of intended EV user behaviour during wildfire evacuations, and (3) an agent-based model (ABM) simulating evacuation scenarios to assess electricity demand and infrastructure constraints. The literature review highlights gaps in EV-specific evacuation planning, including limited charging networks, grid vulnerabilities, and a lack of dedicated emergency response policies. The discrete choice analysis, based on a stated preference survey conducted in wildfire-prone regions of Alberta and British Columbia, reveals that prior hazard experiences, socio-demographic factors, and risk perceptions strongly influence EV evacuation behaviours. The results suggest that targeted grid enhancements and strategically located charging stations could effectively manage the anticipated demand spikes. To further explore these dynamics, an ABM simulation was developed to model EV evacuations in a case study of Canmore, Alberta and analyzed four scenarios to test response differences after various parameter changes. The results highlight the risks of concentrated demand at charging stations (leading to severe delay) and the value of time-minimizing decision-making and increasing charging speeds to drastically reduce delays. Policy interventions—such as strategically placed temporary charging stations, faster charging stations, and incentivizing charging away from home—could mitigate these challenges and improve evacuation outcomes. Findings from this thesis provide recommendations for policymakers, emergency planners, and transportation agencies, including expanding charging infrastructure along evacuation routes, developing public-facing EV-specific evacuation plans, and leveraging smart charging and demand response programs. This thesis contributes to the growing body of research on electrified mobility and disaster resilience, providing insights to support safer and more efficient evacuations in an increasingly electrified transportation landscape. | Publication | 2025-11-01 | Mohammad Hossein Babaei |
| Power your house with your carA presentation at the Telus World of Science to help teach curious passersby a little bit about the research that takes place under Future Energy Systems initiatives. These presentations were geared mainly towards 5-15-year-old audiences and included a mockup demo that attempted to explain the overarching theme of the research to young kids. | Activity | 2023-07-08 | Mohammad Hossein Babaei |
| Power your house with your carPresentation including demos and mockups geared at all audiences to make the research more accessible and understandable to the general public. Geared at audiences of all ages and included demo mockups to help explain concepts more generally. | Activity | 2023-07-29 | Mohammad Hossein Babaei |
| When the Grid Goes Dark: Can Electric Cars Save the Day in a Disaster?Public hour-long talk at the Edmonton Public Library followed up by questions from the audience. Covered the purpose, value, and goals of the research in a slideshow presentation hosted by FES as part of their Energy Talks series. | Activity | 2024-02-21 | Mohammad Hossein Babaei, Stephen David Wong |
| Systematic Review of Electric Vehicles, Resilience, and EvacuationsDisasters often require large-scale evacuations, and damage key infrastructure (e.g., power, transportation). With growing electric vehicle (EV) adoption and electrification of transportation, governments and utilities may face significant power challenges during disasters, especially during the evacuation stage. Low state-of-charge, sporadic charging infrastructure, or power outages could significantly hamper safe and effective evacuations. Yet, EVs also offer possible resilience benefits to emergency response by more easily charging electronics or sending power back to the grid through vehicle-to-grid (V2G) technology. This paper focuses on the opportunities, benefits, and drawbacks of EVs in disasters and evacuations through a systematic review of current literature, reports, and sources. Overall, this review discovered EVs show promise as modes of transportation and mobile energy supply units. However, crucial challenges such as charging infrastructure locations, upfront cost of resilience technologies, and user behavior necessitate more dedicated research to overcome shortcomings and guide more realistic implementation of benefits. | Publication | 2024-10-20 | Mohammad Hossein Babaei, Stephen David Wong |
| Assessment of Intended Electric Vehicle Usage and Travel Behaviour during Wildfire EvacuationElectric vehicle (EV) adoption is a growing challenge for disaster planning, requiring resilient grids and strategies. With minimal research on EV user behaviour in an evacuation context, this study addresses this gap by developing a series of discrete choice models to understand the factors that impact EV charging behaviour in a hypothetical wildfire evacuation. Through a non-probability panel from the Canadian provinces of Alberta and British Columbia of people living in high/medium fire risk, we collected survey data (n=1371) on intended actions, assuming a 400 km range EV. Results indicate diverse EV charging patterns, both spatially and temporarily. Across all models, we found that EV ownership, a preference to reduce risk to property and family, intended evacuation choices, and past hazard experience influenced charging behaviour. Targeted grid improvements and strategic placement of both fixed and mobile charging stations would likely be sufficient to meet electricity demand from EVs in evacuations. | Publication | 2026-02-01 | Mohammad Hossein Babaei, Stephen David Wong |
| Exploring Attitudinal Cluster Behaviour for EV-Enabled Actions during Emergencies. | Publication | 2026-06-01 | "M Khalil", Mohammad Hossein Babaei, Stephen David Wong |
| Using Behavioural Intentions to Simulate Electric Vehicle Charging During a Wildfire Evacuation | Publication | 2026-06-01 | Ian Borody, Mohammad Hossein Babaei, Stephen David Wong |
| Electric Vehicles and Disaster MitigationSource: Alberta Motor Association
In this episode of the EV Life podcast, we’re joined by Dr. Stephen Wong, assistant professor at the University of Alberta in Transportation Engineering. Stephen shares some insights into research his team is working on around the use of electric vehicles in disasters, including evacuation equity and power management. | Publication | 2023-10-23 | Stephen David Wong |
