Public bike stations in Indianapolis: a location allocation study

dc.contributor.advisorBanerjee, Aniruddha
dc.contributor.authorCooper, Samuel D.
dc.contributor.otherWilson, Jeffrey S.
dc.contributor.otherLulla, Vijay
dc.date.accessioned2018-07-25T16:23:51Z
dc.date.available2018-07-25T16:23:51Z
dc.date.issued2018-02
dc.degree.date2018en_US
dc.degree.disciplineDepartment of Geographyen
dc.degree.grantorIndiana Universityen_US
dc.degree.levelM.S.en_US
dc.descriptionIndiana University-Purdue University Indianapolis (IUPUI)en_US
dc.description.abstractLocation Allocation, rooted in Operations Research and Mathematical programming, allows real world problems to be solved using optimization (based on mathematics and science) and equity principles (based on ethics). Finding nearest facilities for everyone simultaneously is a task solved by numerical and algebraic solutions. Bikeshare as a public good requires equitable allocation of bikeshare resources. Distance, as an impediment, can be minimized using location allocation algorithms. Since location allocation of this kind involves large numbers, sophisticated algorithms are needed to solve them due to their combinatorically explosive nature (i.e. as ‘n’ rises, solution time rises at least exponentially – sometimes called ‘Non Polynomial Time-Hard’ problems). Every day, researchers are working to improve such algorithms, since faster and better solutions can improve such algorithms and in turn help improve our daily lives.en_US
dc.identifier.doi10.7912/C2694X
dc.identifier.urihttps://hdl.handle.net/1805/16799
dc.identifier.urihttp://dx.doi.org/10.7912/C2/792
dc.language.isoen_USen_US
dc.subjectBikeshareen_US
dc.subjectLocation allocationen_US
dc.subjectGISen_US
dc.subjectNetworken_US
dc.titlePublic bike stations in Indianapolis: a location allocation studyen_US
dc.typeThesisen
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