Open JDWoodcock opened 6 years ago
Yes, please check that also. If we arrive at different answers we might want to look into why that is.
But you could tell me if you did take care of double counting or not?
for the scenarios I suggest we combine all public transport (train, metro, bus, tram) but diagnostic purposes worth keeping them separate
How about, instead of considering scenarios for lots of modes, we focus on one mode, and look at e.g. cycling, with 2.5%, 5%, 7.5% and 10% mode share for all cities? Internal (within city) comparisons will be made with reference to the baseline %, which will also be on the line between 0% and 10%, and we can compare the four fixed-percent results across all cities.
to agree approaches to scenarios 1) trip, time, distance based depending on data 2) longer term- based on changing urban form (and consideration of move to more geographically explicit model) 3) time horizon- changes to disease burdens, emission factors, injury risks etc over time; discount rates; trajectories of uptake