As someone living in an African country I find this headline beyond ridiculous. If this was in Lebanon would we be reading "Asian Bus Routes Redrawn using Cell-Phone Data"?
Or Vilnius is Europe, yet St. Petersburg isn't.
"Ivory Coast" is about as descriptive to an American audience as "Africa". I would be shocked if more than a tiny minority of Americans could tell you where the Ivory Coast was outside of "Africa", and I bet many wouldn't even know to place it in Africa, thinking maybe it's in India or SE Asia or something.
It's written like that because Americans don't know and don't really care about African geography.
>If this was in Lebanon would we be reading "Asian Bus Routes Redrawn using Cell-Phone Data"?
We'd probably see "Middle-East", the understood name for that region. We might even see "Lebanon" since its close to Israel and Americans like to feel involved in that scene.
Not exactly a high bar it seems...
I should have your middle schoolers tutor me.
I think you just hit the nail on the head.
Why is it no-one narrows down descriptions of Africa to below continent-level?
Wake me when there is one.
The reduction is in total system-wide journey times in passenger-minutes (travel time + expected waiting time). The model makes underlying assumptions on how people arrive at stops to do their trips, and how they choose paths through the network. The wait times are therefore related to frequency of services.
The statistic is also broken down by each route what happens when the changes (new routes or extensions) are implemented. For some routes, you see increase in ridership (on account of better connectivity), and on some you see decreased ridership (since the new routes offer more competitive paths through the network).
Are you allowed to share some of the data ? If so:
Does the time includes time to walk to bus station or an estimate?
Is there some histogram of time saved per passenger ? or even something like X% of passengers save a big amount of time ?
Do you have a way to estimate time save by adding routes or alternative transport(like jitneys) before making the change?
Those are interesting, but i also think if some of this data was available(like for example big time saving for some part of the population), this would have better media coverage.
We could generate passenger level stats for the sample we observed, but have presented it at the route level for now, since its targeted towards operators.
Yes, the improvements reported are from adding of new routes (the article title suggests that we "redrew" current routes). The new routes are generated from "frequent" patterns we see in the data. Haven't looked specifically at alternative modes, although there are several reasons to discourage jitneys.
Or more to the point, how correct (or incorrect) were the urban planners in their choice of bus routes?
More information like how large the bus route system had grown since its inception -- for example did it grow organically over time in small growth spurts or was it in larger controlled route expansions/reductions -- would be useful as well.
Cote d'Ivoire is a comparatively prosperous country in West Africa.
If you can't afford a second-hand feature phone, you likely can't afford to ride the bus.
I think it is safe to bet that, among those using public transport, mobile phone ownership will not be higher. Also, of those with a mobile on those buses, mobile phone _usage_, likely, will be higher for the richer ones.