Let’s shuffle: Facility Optimal Location for Stations within Bicycle Sharing Systems in the City of Buenos Aires after the pandemic

People’s habits have changed after the pandemic and cycling around the city of Buenos Aires is no exception. This thesis leverages literature on Capacitated Facility Location Problems (CFLP) to build an optimal bike-sharing network to minimize the total system’s cost. The objective is to decide w...

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Detalles Bibliográficos
Autor principal: Cruces, Nicolás
Otros Autores: Miranda Bront, Juan José
Formato: Tesis de maestría acceptedVersion
Lenguaje:Inglés
Publicado: Universidad Torcuato Di Tella 2023
Materias:
Comportamiento del Consumidor
Consumer behavior
Covid-19
Bicicleta
Demanda
Capacitated Facility Location Problems (CFLP)
Bike Share System
Projected Demand
Acceso en línea:https://repositorio.utdt.edu/handle/20.500.13098/12027
Aporte de:
Repositorio Digital Universidad Torcuato Di Tella de Universidad Torcuato Di Tella
id I57-R163-20.500.13098-12027
record_format dspace
spelling I57-R163-20.500.13098-120272023-09-20T07:37:01Z Let’s shuffle: Facility Optimal Location for Stations within Bicycle Sharing Systems in the City of Buenos Aires after the pandemic Cruces, Nicolás Miranda Bront, Juan José García Aramouni, Nicolás Comportamiento del Consumidor Consumer behavior Covid-19 Bicicleta Demanda Capacitated Facility Location Problems (CFLP) Bike Share System Projected Demand People’s habits have changed after the pandemic and cycling around the city of Buenos Aires is no exception. This thesis leverages literature on Capacitated Facility Location Problems (CFLP) to build an optimal bike-sharing network to minimize the total system’s cost. The objective is to decide which stations should be left open to meet projected demand in the worst-possible cases, ensuring that users do not have to walk more than a predefined distance to the facility that is closest to them. Results suggest that there is an excess of stations in the downtown area and idle capacity that could be relocated in peripheral areas, reflected by a positive load factor increase of 2x after the optimization is done. The solution shows that up to 70% of total costs could be saved after using our optimization model, by closing down facilities while meeting demand. While total cost is estimated as the budget that needs to be invested to ramp up the system from scratch, it is a useful metric that shows us how the network could be optimized taking away stations from overcrowded areas without losing any of the current demand. All of these bike-sharing facilities could be relocated to areas that have a low-density of bikes, improving access to the cycling system in the city of Buenos Aires. 2023-09-19T20:38:27Z 2023-09-19T20:38:27Z 2023 info:eu-repo/semantics/masterThesis info:ar-repo/semantics/tesis de maestría info:eu-repo/semantics/acceptedVersion https://repositorio.utdt.edu/handle/20.500.13098/12027 eng info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-sa/2.5/ar/ 71 p. application/pdf application/pdf Ciudad Autónoma de Buenos Aires Universidad Torcuato Di Tella
institution Universidad Torcuato Di Tella
institution_str I-57
repository_str R-163
collection Repositorio Digital Universidad Torcuato Di Tella
language Inglés
orig_language_str_mv eng
topic Comportamiento del Consumidor
Consumer behavior
Covid-19
Bicicleta
Demanda
Capacitated Facility Location Problems (CFLP)
Bike Share System
Projected Demand
spellingShingle Comportamiento del Consumidor
Consumer behavior
Covid-19
Bicicleta
Demanda
Capacitated Facility Location Problems (CFLP)
Bike Share System
Projected Demand
Cruces, Nicolás
Let’s shuffle: Facility Optimal Location for Stations within Bicycle Sharing Systems in the City of Buenos Aires after the pandemic
topic_facet Comportamiento del Consumidor
Consumer behavior
Covid-19
Bicicleta
Demanda
Capacitated Facility Location Problems (CFLP)
Bike Share System
Projected Demand
description People’s habits have changed after the pandemic and cycling around the city of Buenos Aires is no exception. This thesis leverages literature on Capacitated Facility Location Problems (CFLP) to build an optimal bike-sharing network to minimize the total system’s cost. The objective is to decide which stations should be left open to meet projected demand in the worst-possible cases, ensuring that users do not have to walk more than a predefined distance to the facility that is closest to them. Results suggest that there is an excess of stations in the downtown area and idle capacity that could be relocated in peripheral areas, reflected by a positive load factor increase of 2x after the optimization is done. The solution shows that up to 70% of total costs could be saved after using our optimization model, by closing down facilities while meeting demand. While total cost is estimated as the budget that needs to be invested to ramp up the system from scratch, it is a useful metric that shows us how the network could be optimized taking away stations from overcrowded areas without losing any of the current demand. All of these bike-sharing facilities could be relocated to areas that have a low-density of bikes, improving access to the cycling system in the city of Buenos Aires.
author2 Miranda Bront, Juan José
author_facet Miranda Bront, Juan José
Cruces, Nicolás
format Tesis de maestría
Tesis de maestría
acceptedVersion
author Cruces, Nicolás
author_sort Cruces, Nicolás
title Let’s shuffle: Facility Optimal Location for Stations within Bicycle Sharing Systems in the City of Buenos Aires after the pandemic
title_short Let’s shuffle: Facility Optimal Location for Stations within Bicycle Sharing Systems in the City of Buenos Aires after the pandemic
title_full Let’s shuffle: Facility Optimal Location for Stations within Bicycle Sharing Systems in the City of Buenos Aires after the pandemic
title_fullStr Let’s shuffle: Facility Optimal Location for Stations within Bicycle Sharing Systems in the City of Buenos Aires after the pandemic
title_full_unstemmed Let’s shuffle: Facility Optimal Location for Stations within Bicycle Sharing Systems in the City of Buenos Aires after the pandemic
title_sort let’s shuffle: facility optimal location for stations within bicycle sharing systems in the city of buenos aires after the pandemic
publisher Universidad Torcuato Di Tella
publishDate 2023
url https://repositorio.utdt.edu/handle/20.500.13098/12027
work_keys_str_mv AT crucesnicolas letsshufflefacilityoptimallocationforstationswithinbicyclesharingsystemsinthecityofbuenosairesafterthepandemic
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