TY - GEN
T1 - A Data-Driven Optimization Computational Tool Design for Bike-Sharing Station Distribution in Small to Medium-Sized Cities
T2 - 29th International Conference on Information Systems Development, ISD 2021
AU - Cueva, Fernando
AU - Shi, Pengcheng
AU - Cedillo, Priscila
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - Faced with heavy vehicular traffic at present, the strategic implementation of Bike Sharing Systems (BSSs) in cities as an alternative means of transport for users is increasingly being adopted. These solutions reduce the environmental burden posed by other means of transportation, decrease costs for citizens, improves people's health due to physical activity, among other advantages. However, aspects such as the definition of bike stations’ locations represent a challenge when these solutions are being implemented. Therefore, this paper presents a software tool design that supports a method that defines the location and number of stations within a BSS. Also, the tool uses a data-driven optimization model to establish the location of stations. Finally, a case study carried out in Cuenca—Ecuador, demonstrates the proposal's feasibility, showing a significant concordance with the consulting firms-consortia results (70–90% of coincidence) at a lower cost.
AB - Faced with heavy vehicular traffic at present, the strategic implementation of Bike Sharing Systems (BSSs) in cities as an alternative means of transport for users is increasingly being adopted. These solutions reduce the environmental burden posed by other means of transportation, decrease costs for citizens, improves people's health due to physical activity, among other advantages. However, aspects such as the definition of bike stations’ locations represent a challenge when these solutions are being implemented. Therefore, this paper presents a software tool design that supports a method that defines the location and number of stations within a BSS. Also, the tool uses a data-driven optimization model to establish the location of stations. Finally, a case study carried out in Cuenca—Ecuador, demonstrates the proposal's feasibility, showing a significant concordance with the consulting firms-consortia results (70–90% of coincidence) at a lower cost.
KW - Bike sharing system
KW - Data-driven
KW - Optimization
KW - Pollutants
KW - Public bike system
UR - https://www.scopus.com/pages/publications/85128718234
U2 - 10.1007/978-3-030-95354-6_1
DO - 10.1007/978-3-030-95354-6_1
M3 - Contribución a la conferencia
AN - SCOPUS:85128718234
SN - 9783030953539
T3 - Lecture Notes in Information Systems and Organisation
SP - 1
EP - 18
BT - Advances in Information Systems Development - Crossing Boundaries Between Development and Operations in Information Systems
A2 - Insfran, Emilio
A2 - González, Fernando
A2 - Abrahão, Silvia
A2 - Fernández, Marta
A2 - Barry, Chris
A2 - Lang, Michael
A2 - Linger, Henry
A2 - Schneider, Christoph
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 8 September 2021 through 10 September 2021
ER -