Geographic Data Informs Funding and Management of Metro Bike Share System

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dc.contributor.authorSchmidt, Pamela
dc.contributor.authorFeng, Jia
dc.contributor.authorFreeze, Ronald
dc.date.accessioned2020-12-24T20:06:56Z
dc.date.available2020-12-24T20:06:56Z
dc.date.issued2021-01-05
dc.description.abstractGeographic data is often used to supplement business data, but geographic location (GeoLocation) data has business value in its own right. This geo-spatial study presents a midwestern town’s use of location analytics to infer the purpose for bike trips (usage purpose) and perform what-if analysis to enhance transportation options. The study applies spatial data analysis of bikeshare within transit management and public planning to address funding sources and public good. This case includes GeoExtension of the Metro Bike Share source data by utilizing U. S. Census data. The overall Metro Transit operational goal is to effectively manage the rideshare program to maximize community benefits, particularly in offering optimal transit options. Analysis to inform business operations are 1) inferring likely purpose for bike rides to differentiate between transportation and leisure; 2) determine if bike use integrates with other transit offerings, and 3) to provide transportation options to residents in low-income areas.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2021.649
dc.identifier.isbn978-0-9981331-4-0
dc.identifier.urihttp://hdl.handle.net/10125/71268
dc.language.isoEnglish
dc.relation.ispartofProceedings of the 54th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectLocation Intelligence Research
dc.subjectgeoenrichment
dc.subjectgeospatial analysis
dc.subjectgis
dc.subjectglobal positioning system (gps)
dc.subjectlocation intelligence
dc.titleGeographic Data Informs Funding and Management of Metro Bike Share System
prism.startingpage5327

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