A decision game on real Geneva data

Where should the bikes live?

Geneva wants shared bikes that work with its trams and buses, not against them. Behind this demo is an optimisation model that decides, on a budget, where to open stations, how many docks each gets and how many bikes start the day there, so that as much potential demand as possible is served — by bike alone or by bike plus public transport. It answers four questions a city asks.

QUESTION 01

How much should the city invest — and where does the next euro stop paying off?

The same demand, solved again at every budget of the paper's ladder.

→ answered in step 5

QUESTION 02

When does bike sharing start feeding the trams and buses, instead of replacing short rides?

The share of served trips that combine a bike and public transport, at each budget.

→ answered in step 5

QUESTION 03

Should the money go into trucks that move bikes around, or into more docks and stations?

The same plan with no truck budget, with the paper's operational ratio, and with dispatching left unpenalised.

→ answered in step 5

QUESTION 04

Does the rhythm of the day — commuters on Monday, leisure on Sunday — change where the stations should go?

The same budget optimised for a two-peak weekday, a sharp single peak, a flat day and Geneva's observed rhythm.

→ answered in step 5

1 453potential trips a day, between the zones of the study area — an upper bound of who could use the bikes, not a forecast

100candidate station sites: the zone centres, plus the public-transport stops that could host a transfer station

3periods in the model's day — morning, midday, evening — because bikes end up where people went

Research: Z. Wu, S. Sharif Azadeh, L. Brotcorne — Network Design of Bike Sharing Systems with Public Transport Integration, INOCS (Inria Lille) & TU Delft, EU SUM project. The demo uses the model exactly as submitted; demand here is counted from observed shared-bike trips, where the paper estimates it from a public-transport survey and ridership.