Spatial Patterns of Micromobility Ridership: A Multi-City Analysisdoi:10.7910/DVN/TYGGEYHarvard Dataverse2022-11-281Alattar, Mohammad, 2022, "Spatial Patterns of Micromobility Ridership: A Multi-City Analysis", https://doi.org/10.7910/DVN/TYGGEY, Harvard Dataverse, V1Spatial Patterns of Micromobility Ridership: A Multi-City Analysisdoi:10.7910/DVN/TYGGEYAlattar, MohammadHarvard DataverseAlattar, MohammadAlattar, Mohammad2022-11-28Computer and Information ScienceSocial SciencesThese data are related to "Spatial Patterns of Micromobility Ridership: A Multi-City Analysis" paperMEL = Melbourne AUK = Auckland SFO = San Francisco PDX = Portland SM = Santa Monica AUS = Austin The clusters are shown in LISA_CL attribute 0 = Non significant 1 = High-High 2 = Low-Low 3 = Low-High 4 = High-Low<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a>AUK.zipMicromobility ridership LISA analysis of Auckland, New Zealandapplication/zipped-shapefileAUS.zipMicromobility ridership LISA analysis of Austin, Texasapplication/zipped-shapefileMEL.zipMicromobility ridership LISA analysis of Melbourne, Australiaapplication/zipped-shapefilePDX.zipMicromobility ridership LISA analysis of Portland, Oregonapplication/zipped-shapefileSFO.zipMicromobility ridership LISA analysis of San Francisco, CAapplication/zipped-shapefileSM.zipMicromobility ridership LISA analysis of Santa Monica, CAapplication/zipped-shapefile