Download Tag: scooters

Explaining US gasoline?

This data-file breaks down US gasoline demand, as a function of vehicle miles traveled (urban and rural), GDP growth, gasoline prices and fuel economy across the US vehicle fleet. It contains monthly data on each variable, going back to 2002, so correlations can be explored.

Gasoline demand is modestly slower-than-expected in 2019, rising just +1.0% YoY, which is above the prior 15-year trend for 0.4% pa growth, but below the 1.8% expected basesd on regressions to fuel prices and GDP.

One cause is urban vehicle miles driven, where growth has slowed, defying historical correlations with GDP (strong) and gasoline prices (reasonable). Structural explanations could include the rapid rise of alternative vehicles (e.g., e-scooters), ride-sharing and policy decisions.  

Please download the file to view the data or test your own regressions.

Energy Economics of e-Scooters

This data-file contains all our data on the energy economics of e-scooters, a transformational technology for urban mobility, where demand has exploded in 2018 and 2019. And for good reason. The data-file includes:

  • Our projections of the oil demand destroyed by scooters
  • Our projections of the electricity demand created by scooters
  • Number of US travel-trips using shared bikes and scooters from 2010-18
  • Scooter costs versus car and taxi costs per mile
  • Average ranges and battery sizes of incumbent scooter models
  • Relative energy economics of scooters versus gasoline cars and EVs
  • Relative time taken to charge scooters versus EVs using solar panels
  • The proportion of scooter trips that replace gasoline car trips in eight cities
  • Profiles of the top 4 e-scooter companies
  • A timeline of shared mobility from 1965 to 2018.

The download will also enable you to adjust the input assumptions, to test different scenarios.

Vehicle Efficiency: Electrifying?

This data-file quantifies the energy efficiency of fourteen different transportation types, in mpg, miles per kWh, passenger miles per kWh and CO2 intensity per passenger mile.

“Efficiency” is calculated using an apples-to-apples methodology, comparing real-world fuel consumption to equations of mechanics (i.e., stop-starts and air resistance, per Tab 3 in the model).

Electrification generally offers a c4x efficiency gain, jumping from c15-20% on conventional oil-powered vehicles to c60-80% on electric vehicles. Hybrids and hydrogen also yield modest efficiency improvements.

Most exciting is the set of emerging, electric transportation technologies, which are faster than incumbents, yet also achieve 4-120x efficiency gains per passenger mile (chart below).

Copyright: Thunder Said Energy, 2022.