(Citi)Bike sharing. Henderson, S. G., O'Mahony, E., & Shmoys, D. B. 2016. Submittedabstract bibtex We report on an extended and ongoing engagement with NYC Bike Share LLC, the operators of the bike- sharing system Citibike in New York City (NYC). Perhaps the central problem in operating a bike-sharing system is that of maintaining system balance, so that to the extent possible users can find bikes when they want them, and find open docks when they want to return a bike. Rebalancing problems can be naturally classified into the overnight rebalancing problem when trucks can move relatively easily through a city, and the mid-rush rebalancing problem when, at least in NYC, traffic congestion prevents the use of trucks, and instead bike trailers with very limited capacity can be towed by bikers in bike lanes. We present a method to determine the allocation of both bikes and docks across a city, proving structural properties that admit an efficient solution at the scale of NYC operations. This method is used at a strategic level to plan the deployment of bikes and racks across the city. We then present operational-planning formulations that attempt, as closely as possible, to match a desired deployment plan within realistic resource constraints. These methods are in use in NYC to help Citibike with their daily challenges, and to assist with expansion planning as the footprint of stations grows.
@unpublished{henomashm16,
abstract = {We report on an extended and ongoing engagement with NYC Bike Share LLC, the operators of the bike- sharing system Citibike in New York City (NYC). Perhaps the central problem in operating a bike-sharing system is that of maintaining system balance, so that to the extent possible users can find bikes when they want them, and find open docks when they want to return a bike. Rebalancing problems can be naturally classified into the overnight rebalancing problem when trucks can move relatively easily through a city, and the mid-rush rebalancing problem when, at least in NYC, traffic congestion prevents the use of trucks, and instead bike trailers with very limited capacity can be towed by bikers in bike lanes. We present a method to determine the allocation of both bikes and docks across a city, proving structural properties that admit an efficient solution at the scale of NYC operations. This method is used at a strategic level to plan the deployment of bikes and racks across the city. We then present operational-planning formulations that attempt, as closely as possible, to match a desired deployment plan within realistic resource constraints. These methods are in use in NYC to help Citibike with their daily challenges, and to assist with expansion planning as the footprint of stations grows.},
author = {Shane G. Henderson and Eoin O'Mahony and David B. Shmoys},
date-added = {2016-01-10 17:42:15 +0000},
date-modified = {2016-01-10 17:42:15 +0000},
note = {Submitted},
title = {(Citi)Bike sharing},
year = {2016}}
Downloads: 0
{"_id":"LEufGmR8ACvffvMAC","bibbaseid":"henderson-omahony-shmoys-citibikesharing-2016","downloads":0,"creationDate":"2016-01-10T17:44:24.286Z","title":"(Citi)Bike sharing","author_short":["Henderson, S. G.","O'Mahony, E.","Shmoys, D. B."],"year":2016,"bibtype":"unpublished","biburl":"https://people.orie.cornell.edu/shane/ShanePubs.bib","bibdata":{"bibtype":"unpublished","type":"unpublished","abstract":"We report on an extended and ongoing engagement with NYC Bike Share LLC, the operators of the bike- sharing system Citibike in New York City (NYC). Perhaps the central problem in operating a bike-sharing system is that of maintaining system balance, so that to the extent possible users can find bikes when they want them, and find open docks when they want to return a bike. Rebalancing problems can be naturally classified into the overnight rebalancing problem when trucks can move relatively easily through a city, and the mid-rush rebalancing problem when, at least in NYC, traffic congestion prevents the use of trucks, and instead bike trailers with very limited capacity can be towed by bikers in bike lanes. We present a method to determine the allocation of both bikes and docks across a city, proving structural properties that admit an efficient solution at the scale of NYC operations. This method is used at a strategic level to plan the deployment of bikes and racks across the city. We then present operational-planning formulations that attempt, as closely as possible, to match a desired deployment plan within realistic resource constraints. These methods are in use in NYC to help Citibike with their daily challenges, and to assist with expansion planning as the footprint of stations grows.","author":[{"firstnames":["Shane","G."],"propositions":[],"lastnames":["Henderson"],"suffixes":[]},{"firstnames":["Eoin"],"propositions":[],"lastnames":["O'Mahony"],"suffixes":[]},{"firstnames":["David","B."],"propositions":[],"lastnames":["Shmoys"],"suffixes":[]}],"date-added":"2016-01-10 17:42:15 +0000","date-modified":"2016-01-10 17:42:15 +0000","note":"Submitted","title":"(Citi)Bike sharing","year":"2016","bibtex":"@unpublished{henomashm16,\n\tabstract = {We report on an extended and ongoing engagement with NYC Bike Share LLC, the operators of the bike- sharing system Citibike in New York City (NYC). Perhaps the central problem in operating a bike-sharing system is that of maintaining system balance, so that to the extent possible users can find bikes when they want them, and find open docks when they want to return a bike. Rebalancing problems can be naturally classified into the overnight rebalancing problem when trucks can move relatively easily through a city, and the mid-rush rebalancing problem when, at least in NYC, traffic congestion prevents the use of trucks, and instead bike trailers with very limited capacity can be towed by bikers in bike lanes. We present a method to determine the allocation of both bikes and docks across a city, proving structural properties that admit an efficient solution at the scale of NYC operations. This method is used at a strategic level to plan the deployment of bikes and racks across the city. We then present operational-planning formulations that attempt, as closely as possible, to match a desired deployment plan within realistic resource constraints. These methods are in use in NYC to help Citibike with their daily challenges, and to assist with expansion planning as the footprint of stations grows.},\n\tauthor = {Shane G. Henderson and Eoin O'Mahony and David B. Shmoys},\n\tdate-added = {2016-01-10 17:42:15 +0000},\n\tdate-modified = {2016-01-10 17:42:15 +0000},\n\tnote = {Submitted},\n\ttitle = {(Citi)Bike sharing},\n\tyear = {2016}}\n\n","author_short":["Henderson, S. G.","O'Mahony, E.","Shmoys, D. B."],"key":"henomashm16","id":"henomashm16","bibbaseid":"henderson-omahony-shmoys-citibikesharing-2016","role":"author","urls":{},"metadata":{"authorlinks":{"henderson, s":"https://people.orie.cornell.edu/shane/"}},"downloads":0},"search_terms":["citi","bike","sharing","henderson","o'mahony","shmoys"],"keywords":[],"authorIDs":["Rzrm76FFjE8xtscXR"],"dataSources":["ZCuKDjctePZJeeaBw","SEqonpKnx4miWre2P"]}