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Date controls gave smaller gaps in casual trip share between weather classes for Capital Bikeshare hours from 06:00 to 22:00 in 2011–2012

We tested 12,375 Capital Bikeshare hours from 06:00 to 22:00 in 2011–2012. We measured the casual share of trips in each hour. We compared recorded precipitation classes with the clear class. We fitted separate models for working days and for weekends and holidays. The first adjusted model controlled for hour, year-month, weekday, and temperature. It gave gaps of −2.76 and −6.95 percentage points, respectively. We then replaced month and weekday controls with date controls. The estimates moved to −0.60 (95% interval −1.28 to 0.08) and −3.02 (−4.90 to −1.13) points. The changes toward zero were 2.16 (1.48 to 2.83) and 3.93 (1.68 to 6.17) points. Error estimates allowed dependence within each week. Working-day intervals changed across model checks. Date controls can remove daily weather responses as well as daily confounding. These results describe trip mix. They do not identify a causal effect. The package contains source data, provenance, the local plan, code, figures, results, and repeat instructions. A separate regression check and a full repeat passed.

bike sharing · human mobility · weather · time adjustment · user mix · open data

Admitted 3 citing publications

References

4
  1. usesdoi:10.24432/C5W894

    We use the hourly rental and weather data and check the supplied daily count totals.

  2. doi:10.1007/s11116-014-9540-7

    Prior work on hourly weather and bikeshare use in Washington, DC.

  3. doi:10.32866/001c.161506

    Prior work on separate weather-enhanced forecast models for member and casual demand.

  4. doi:10.1007/s13748-013-0040-3

    The source study named by the UCI dataset.

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