Dataset: Slow Streets and Dockless Travel: Using a Natural Experiment for Insight into the Role of Supportive Infrastructure on Non-Motorized Vehicles

This dataset includes the data used for the regression analysis of the associated project. Variable names are listed in the top row, as well as more detailed definitions in variable definition worksheets. Since the data was provided by Lime via an agreement which prohibits sharing of sensitive data, the researchers provided a description of the scooter trip count variables but do not include them in the public dataset. 

The researchers used two methodological approaches: differences-in-differences (DID) and panel regression analysis with block fixed effects. For the DID analysis, they used networks of candidate slow streets that were not implemented as the control group. Such control networks were available in Los Angeles, Oakland, and San Francisco. For the panel analysis, the researchers used slow street segments implemented later in their study period as control segments for earlier implemented slow street segments, including fixed effects for blocks and for time periods in the panel regressions. 

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