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PROJECT 011 / 102 · Mobility

Commuter and casual rider mix.

How does the registered-rider share differ by day type and selected hours?

Focused analytical studyBike sharingExecuted notebook

THE RESULT

What the data shows

The largest computed metric is 0.958 for 1 / hour 7; the smallest is 0.6544 for 0 / hour 17. Metric: registered_share (Registered share).

Workingday 1 excludes weekends and source holidays. A registered rental is not necessarily a commute.

Commuter and casual rider mix — chart from the computed study output
Computed study output. Full values and units are available in the results download.
Computed results · 12 of 12 rows. Values rounded for display; source units and raw column names are retained in the download.
workingdayhrregisteredcasualtotalobserved hoursregistered sharegroup
078,0391,98810,0272310.80170 / hour 7
0819,6884,71824,4062310.80670 / hour 8
0929,24610,39939,6452310.73770 / hour 9
01255,44329,16384,6062310.65530 / hour 12
01748,91125,82974,7402310.65440 / hour 17
01845,27219,37164,6432300.70030 / hour 18
17138,0956,049144,1444960.9581 / hour 7
18225,55211,043236,5954960.95331 / hour 8
19107,73412,059119,7934960.89931 / hour 9
11279,25320,55599,8084970.79411 / hour 12
117233,72928,391262,1204990.89171 / hour 17
118220,00425,125245,1294980.89751 / hour 18
Download the complete result table ↓

THE METHOD

From source to answer

Aggregate rider counts before calculating shares at six declared hours.

The Python source exposes this study’s transformations. The complete project download includes shared preparation and evaluation routines.

THE NEXT DECISION

What follows from the finding

Use rider mix to frame service-planning questions without inferring individual traveler intent.

Where the conclusion stops

Historical system rentals measure realized use, not unmet demand or station inventory. Missing hours are unknown. Weather associations do not establish causal effects.

Related studies may reuse observations or holdouts. These are historical analyses; associations and backtests do not demonstrate commercial impact. Further model tuning needs new, untouched evaluation data.