Proceedings of the 3rd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2019)

Research on Shared Bicycle Parking Point based on Robust Optimization Model

Authors
Cuiping Ren, Yinli Dong
Corresponding Author
Cuiping Ren
Available Online July 2019.
DOI
10.2991/iccia-19.2019.3How to use a DOI?
Keywords
robust; location planning; turnover rate; constraint.
Abstract

With the widespread use of shared bicycles, when sharing bicycles brings us convenience it also brings many disadvantages to urban management. This paper studies the location of shared bicycle parking spots in shared bicycle management problems. Firstly, a robust optimization method is introduced for the practical problem of shared bicycles in Xi'an. Secondly, the optimization model is derived under the uncertainty of the need to use shared bicycles.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 3rd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2019)
Series
Advances in Computer Science Research
Publication Date
July 2019
ISBN
978-94-6252-760-7
ISSN
2352-538X
DOI
10.2991/iccia-19.2019.3How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Cuiping Ren
AU  - Yinli Dong
PY  - 2019/07
DA  - 2019/07
TI  - Research on Shared Bicycle Parking Point based on Robust Optimization Model
BT  - Proceedings of the 3rd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2019)
PB  - Atlantis Press
SP  - 12
EP  - 15
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-19.2019.3
DO  - 10.2991/iccia-19.2019.3
ID  - Ren2019/07
ER  -