emissions

This study investigates the opportunities and challenges associated with alternate last-mile distribution strategies for an e-retailer offering expedited service with rush delivery within strict timeframes. The authors formulated a last-mile network design (LMND) problem as a dynamic-stochastic two-echelon capacitated location routing problem with time-windows (DS-2E-C-LRP-TW) addressed with an adaptive large neighborhood search (ALNS) metaheuristic.

California has set goals for transitioning the freight sector to near-zero-emission and zero-emission vehicles (ZEVs). California offers several incentive programs to encourage adoption of ZEVs, but purchase decisions are driven by complex factors beyond simple purchase price. Researchers at UC Davis deployed a stated-preference survey of fleet and carrier companies to collect information about vehicle purchase preferences and how they might be influenced by various incentive programs.

This paper reviews the status of hydrogen strategies and progress in major global economies, with a particular focus on four leading jurisdictions: Japan, Germany, S. Korea, and California.

This white paper examines the co-benefits of reducing vehicles miles of travel. Examples include reductions in air pollutant emissions, water pollution, wildlife mortality, and traffic congestion, as well as improvements in safety and health, and savings in public and private costs.

The objective of this study is to develop a cohesive, unified dataset of life cycle inventories needed to quantify the effects of material, energy, waste, and emission flows on the environmental impacts of concrete.

This study examines climate action plans (CAPs) released by jurisdictions in California, and develops a framework to assess their inclusion, which could also be used to guide future CAP development, and develops a set of guiding questions to promote the inclusion of equity themes in climate action planning and implementation.

The results dataset used to populate the analyses presented in the report, "Combined Effect of Changes in Transit Service and Changes in Occupancy on Per-Passenger Energy Consumption". 

This work models a last-mile network design problem for an e-retailer with a capacitated two-echelon distribution structure - typical in e-retail last-mile distribution, catering to a market with a stochastic and dynamic daily customer demand requesting delivery within time-windows.

This dataset stems from the project "Deep Learning-based Eco-driving System for Battery Electric Vehicles".