Geographic Data Informs Funding and Management of Metro Bike Share System

Geographic data is often used to supplement business data, but geographic location (GeoLocation) has value in its own right. This geo-spatial study presents a midwestern town’s use of analytics infer the purpose for bike trips (usage purpose) and perform what-if analysis enhance transportation options. The applies spatial bikeshare within transit management public planning address funding sources good. case includes GeoExtension Metro Bike Share source by utilizing U. S. Census data. overall Transit operational goal effectively manage rideshare program maximize community benefits, particularly offering optimal Analysis inform operations are 1) inferring likely rides differentiate between leisure; 2) determine if integrates with other offerings, 3) provide options residents low-income areas.