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Geo-fence planning for dockless bike-sharing systems: a GIS-based multi-criteria decision analysis framework
The inappropriate parking of free-floating shared bikes is a critical issue that needs to be addressed to realize the potential environmental, socioeconomic, and health benefits of this emerging green mode of transport. To address this challenge, this paper developes a Geographic Information Systems...
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| Format: | Default Article |
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2022
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| Online Access: | https://hdl.handle.net/2134/21896082.v1 |
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| _version_ | 1818165583137472512 |
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| author | Max Mangold Pengxiang Zhao Haitao He Ali Mansourian |
| author_facet | Max Mangold Pengxiang Zhao Haitao He Ali Mansourian |
| author_sort | Max Mangold (14423529) |
| collection | Figshare |
| description | The inappropriate parking of free-floating shared bikes is a critical issue that needs to be addressed to realize the potential environmental, socioeconomic, and health benefits of this emerging green mode of transport. To address this challenge, this paper developes a Geographic Information Systems (GIS) based Multi-Criteria Decision Analysis (MCDA) framework for geo-fence planning of dockless bike-sharing systems based on openly accessible data. The Analytic Hierarchy Process (AHP) and the VIKOR (VIseKriterijumska Optimizacija I Kompromisno Resenje) method are applied in the proposed framework to derive optimal geo-fence locations. The proposed framework is validated in a case study using a dataset of dockless bike-sharing trips from February 2020 in the City of Zurich and comparing the selected geo-fence locations with the existing bike-sharing stations. The assessment results show that the calculated geo-fence locations have a smaller average distance of 1395 m than that of 1692 m, and a larger demand coverage of 81% than that of 77% for bike-sharing stations. Overall, the proposed framework and the insights from the case study can help transport planners better implement shared micro-mobility hence facilitating the uptake of this sustainable mode of urban transport. |
| format | Default Article |
| id | rr-article-21896082 |
| institution | Loughborough University |
| publishDate | 2022 |
| record_format | Figshare |
| spelling | rr-article-218960822022-12-05T00:00:00Z Geo-fence planning for dockless bike-sharing systems: a GIS-based multi-criteria decision analysis framework Max Mangold (14423529) Pengxiang Zhao (290692) Haitao He (6815888) Ali Mansourian (8831549) Built environment and design Other built environment and design Other built environment and design not elsewhere classified Dockless bike-sharing Geo-fence planning Multi-criteria decision analysis AHP VIKOR GIS <p>The inappropriate parking of free-floating shared bikes is a critical issue that needs to be addressed to realize the potential environmental, socioeconomic, and health benefits of this emerging green mode of transport. To address this challenge, this paper developes a Geographic Information Systems (GIS) based Multi-Criteria Decision Analysis (MCDA) framework for geo-fence planning of dockless bike-sharing systems based on openly accessible data. The Analytic Hierarchy Process (AHP) and the VIKOR (VIseKriterijumska Optimizacija I Kompromisno Resenje) method are applied in the proposed framework to derive optimal geo-fence locations. The proposed framework is validated in a case study using a dataset of dockless bike-sharing trips from February 2020 in the City of Zurich and comparing the selected geo-fence locations with the existing bike-sharing stations. The assessment results show that the calculated geo-fence locations have a smaller average distance of 1395 m than that of 1692 m, and a larger demand coverage of 81% than that of 77% for bike-sharing stations. Overall, the proposed framework and the insights from the case study can help transport planners better implement shared micro-mobility hence facilitating the uptake of this sustainable mode of urban transport.</p> 2022-12-05T00:00:00Z Text Journal contribution 2134/21896082.v1 https://figshare.com/articles/journal_contribution/Geo-fence_planning_for_dockless_bike-sharing_systems_a_GIS-based_multi-criteria_decision_analysis_framework/21896082 CC BY 4.0 |
| spellingShingle | Built environment and design Other built environment and design Other built environment and design not elsewhere classified Dockless bike-sharing Geo-fence planning Multi-criteria decision analysis AHP VIKOR GIS Max Mangold Pengxiang Zhao Haitao He Ali Mansourian Geo-fence planning for dockless bike-sharing systems: a GIS-based multi-criteria decision analysis framework |
| title | Geo-fence planning for dockless bike-sharing systems: a GIS-based multi-criteria decision analysis framework |
| title_full | Geo-fence planning for dockless bike-sharing systems: a GIS-based multi-criteria decision analysis framework |
| title_fullStr | Geo-fence planning for dockless bike-sharing systems: a GIS-based multi-criteria decision analysis framework |
| title_full_unstemmed | Geo-fence planning for dockless bike-sharing systems: a GIS-based multi-criteria decision analysis framework |
| title_short | Geo-fence planning for dockless bike-sharing systems: a GIS-based multi-criteria decision analysis framework |
| title_sort | geo-fence planning for dockless bike-sharing systems: a gis-based multi-criteria decision analysis framework |
| topic | Built environment and design Other built environment and design Other built environment and design not elsewhere classified Dockless bike-sharing Geo-fence planning Multi-criteria decision analysis AHP VIKOR GIS |
| url | https://hdl.handle.net/2134/21896082.v1 |