Evaluating the Efficiency of Bike-Sharing Stations with Data Envelopment Analysis
(2021) In Sustainability 13(2).- Abstract
- This paper focuses on the efficiency evaluation of bike-sharing systems (BSSs) and develops an approach based on data envelopment analysis (DEA) to support the decisions regarding the performance evaluation of BSS stations. The proposed methodology is applied and tested for the Malmöbybike BSS in Malmö, Sweden. This was done by employing spatial analyses and data about the BSS usage trends as well as taking into account transport, land use, and socioeconomic context of the case study. The results of the application demonstrate consistency with the literature and highlight meaningful associations between the station relative efficiency and the urban context. More specifically, the paper provides in-depth knowledge about the preprocessing... (More)
- This paper focuses on the efficiency evaluation of bike-sharing systems (BSSs) and develops an approach based on data envelopment analysis (DEA) to support the decisions regarding the performance evaluation of BSS stations. The proposed methodology is applied and tested for the Malmöbybike BSS in Malmö, Sweden. This was done by employing spatial analyses and data about the BSS usage trends as well as taking into account transport, land use, and socioeconomic context of the case study. The results of the application demonstrate consistency with the literature and highlight meaningful associations between the station relative efficiency and the urban context. More specifically, the paper provides in-depth knowledge about the preprocessing data, selection of input and output variables, and the underlying analytical approach to be potentially applied to other cases and urban contexts. Overall, the DEA-based methodology presented in this study could assist decision-makers and planners with developing operational strategies for planning and management of BSS stations and networks. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/19151b9b-84cd-492f-a5b0-d7624641771e
- author
- Caggiani, Leonardo ; Camporeale, Rosalia LU ; Hamidi, Zahra and Zhao, Chunli LU
- organization
- publishing date
- 2021-01-17
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- BSS station efficiency, data envelopment analysis, spatial analysis in transport, bike-sharing system, bike-sharing station
- in
- Sustainability
- volume
- 13
- issue
- 2
- pages
- 21 pages
- publisher
- MDPI AG
- external identifiers
-
- scopus:85099797443
- ISSN
- 2071-1050
- DOI
- 10.3390/su13020881
- language
- English
- LU publication?
- yes
- id
- 19151b9b-84cd-492f-a5b0-d7624641771e
- date added to LUP
- 2021-02-18 12:12:36
- date last changed
- 2022-04-27 00:17:07
@article{19151b9b-84cd-492f-a5b0-d7624641771e, abstract = {{This paper focuses on the efficiency evaluation of bike-sharing systems (BSSs) and develops an approach based on data envelopment analysis (DEA) to support the decisions regarding the performance evaluation of BSS stations. The proposed methodology is applied and tested for the Malmöbybike BSS in Malmö, Sweden. This was done by employing spatial analyses and data about the BSS usage trends as well as taking into account transport, land use, and socioeconomic context of the case study. The results of the application demonstrate consistency with the literature and highlight meaningful associations between the station relative efficiency and the urban context. More specifically, the paper provides in-depth knowledge about the preprocessing data, selection of input and output variables, and the underlying analytical approach to be potentially applied to other cases and urban contexts. Overall, the DEA-based methodology presented in this study could assist decision-makers and planners with developing operational strategies for planning and management of BSS stations and networks.}}, author = {{Caggiani, Leonardo and Camporeale, Rosalia and Hamidi, Zahra and Zhao, Chunli}}, issn = {{2071-1050}}, keywords = {{BSS station efficiency; data envelopment analysis; spatial analysis in transport; bike-sharing system; bike-sharing station}}, language = {{eng}}, month = {{01}}, number = {{2}}, publisher = {{MDPI AG}}, series = {{Sustainability}}, title = {{Evaluating the Efficiency of Bike-Sharing Stations with Data Envelopment Analysis}}, url = {{http://dx.doi.org/10.3390/su13020881}}, doi = {{10.3390/su13020881}}, volume = {{13}}, year = {{2021}}, }