A5002260162- Vehicle emissions and performance
- Urban Transport and Accessibility
- Human Mobility and Location-Based Analysis
- Transportation Planning and Optimization
- Electric Vehicles and Infrastructure
- Energy, Environment, and Transportation Policies
- ICT Impact and Policies
- Impact of Light on Environment and Health
- Advanced Battery Technologies Research
- Water Systems and Optimization
- Building Energy and Comfort Optimization
- Air Quality and Health Impacts
- Sustainability and Climate Change Governance
- Flood Risk Assessment and Management
- Advanced battery technologies research
- Urban Heat Island Mitigation
- Global Energy and Sustainability Research
- Water resources management and optimization
- Noise Effects and Management
- Privacy-Preserving Technologies in Data
- Blockchain Technology Applications and Security
- Parasite Biology and Host Interactions
- Medical and Biological Ozone Research
- Vehicular Ad Hoc Networks (VANETs)
- Mollusks and Parasites Studies
Stanford University
2021-2024
ORCID
2024
Massachusetts Institute of Technology
2015-2021
Paul Scherrer Institute
2015
Meeting global climate change mitigation goals will likely require that transportation-related greenhouse gas emissions begin to decline within the next two decades and then continue fall. A variety of vehicle technologies fuels are commercially available consumers today can reduce transportation sector. Yet what best options, do any suffice meet policy targets? Here, we examine costs carbon intensities 125 light-duty models on U.S. market evaluate these against emission-reduction targets...
Urban planners face challenges in water infrastructure development decisions due to short-term variation availability and demand, long-term uncertainty climate population growth, differing perspectives on the value of water. This paper classifies these multiple uncertainties develops a decision framework that combines simulation for probabilistic uncertainty, scenario analysis deep multistage reduced over time with additional information. is applied case from Melbourne, Australia, where...
Travel times for many origin-destination pairs can be estimated without relying on detailed transport simulations by using commercial mapping services or combining open-source routing engines with open street network data. While the former are more accurate, latter scalable and economical. Simultaneously, neither option typically accounts time it takes to get unlock a vehicle find parking. Here, we present data-driven approach obtain representative door-to-door travel estimates walking,...
Estimating personal vehicle energy consumption is important for nationwide climate policy, local and statewide environmental technology planning. Transportation use complex, depending on performance the driving behavior of individuals, as well travel patterns cities regions. Previous studies combine large samples with fixed estimates per mile fuel economy or detailed models vehicles limited behavior. This paper presents a model estimating privately operated consumption—TripEnergy—that...
Buildings account for 30% of global energy use and are expected to continue increase as urbanization progresses. Among the various drivers, urban form is known have a non-negligible effect on building consumption. Past studies focused modeling physical obstructions microclimate around building. However, large-scale usually computationally prohibitive. In this paper, we aim empirically evaluate how affects residential commercial buildings in Santa Clara, CA. We combined dataset with...
Understanding human mobility patterns in urban areas is key to solving a wide range of socio-technical problems at the human-infrastructure interface. Extending intervening opportunities concept, we showcase data-driven, network-based model that reproduces aggregate cities. Using this model, create digital replication daily travel across different trip purposes 5 U.S. metropolitan and compare results against publicly available reference data. We find our proposed explains large fraction...