Planning Flexible Bus Service as an Alternative to Suspended Bicycle-Sharing Service: A Data-Driven Approach
Many free-floating bicycle-sharing (FFBS) operators in cold region cities will put bicycles in warehouses and suspend services in winter due to factors such as safety and maintenance costs, resulting in the corresponding travel demand no longer be met. Considering the short-distance and green travel...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-01-01
|
| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2023/3187654 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850214703977988096 |
|---|---|
| author | Yujia Wang Yuan Tian Binyu Yang Jian Wang Xiaowei Hu Shi An |
| author_facet | Yujia Wang Yuan Tian Binyu Yang Jian Wang Xiaowei Hu Shi An |
| author_sort | Yujia Wang |
| collection | DOAJ |
| description | Many free-floating bicycle-sharing (FFBS) operators in cold region cities will put bicycles in warehouses and suspend services in winter due to factors such as safety and maintenance costs, resulting in the corresponding travel demand no longer be met. Considering the short-distance and green travel characteristics of FFBS, the flexible bus, as a sustainable demand-responsive transit service, is a suitable alternative transportation mode. To operate such a flexible bus system, service area and operation time planning is a key stage, however, the planning methods in relevant studies are not suitable for this research scenario. In view of the above, this paper proposed a data-driven method to determine the service area and operation time of flexible buses based on FFBS data. Firstly, an FFBS trip path reconstruction algorithm consists of fine-grained road network modelling and trajectory matching is proposed. Then, in the defined time slice, incorporating the idea of ride-sharing routes generation, according to the density-based clustering principle and considering topology between trajectories, a path clustering algorithm PATHSCAN is developed to generate the one-day path clusters. After that, a frequent pattern mining algorithm is applied to the multiday path clusters, and frequent pattern results with spatio-temporal correlation will be merged into the final service area. The generated planning results will cover ride-matching trips and high-frequency riding paths. Detailed application analysis and verification are carried out by using the real data from Tianjin, China. Through the evaluation and verification under the relatively limited experimental data set, the proposed data-driven method shows ideal planning results. Flexible bus service can supplement the green short-distance travel mode after the suspension of FFBS and can avoid FFBS travel demands switched to unsustainable transportation modes to a large extent. This study will contribute to urban sustainable transportation development and improving greenness. |
| format | Article |
| id | doaj-art-80d5eee53e65465da82b5db88ff0c5da |
| institution | OA Journals |
| issn | 2042-3195 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-80d5eee53e65465da82b5db88ff0c5da2025-08-20T02:08:49ZengWileyJournal of Advanced Transportation2042-31952023-01-01202310.1155/2023/3187654Planning Flexible Bus Service as an Alternative to Suspended Bicycle-Sharing Service: A Data-Driven ApproachYujia Wang0Yuan Tian1Binyu Yang2Jian Wang3Xiaowei Hu4Shi An5School of Transportation Science and EngineeringSchool of Transportation Science and EngineeringSchool of Transportation Science and EngineeringSchool of Transportation Science and EngineeringSchool of Transportation Science and EngineeringSchool of Transportation Science and EngineeringMany free-floating bicycle-sharing (FFBS) operators in cold region cities will put bicycles in warehouses and suspend services in winter due to factors such as safety and maintenance costs, resulting in the corresponding travel demand no longer be met. Considering the short-distance and green travel characteristics of FFBS, the flexible bus, as a sustainable demand-responsive transit service, is a suitable alternative transportation mode. To operate such a flexible bus system, service area and operation time planning is a key stage, however, the planning methods in relevant studies are not suitable for this research scenario. In view of the above, this paper proposed a data-driven method to determine the service area and operation time of flexible buses based on FFBS data. Firstly, an FFBS trip path reconstruction algorithm consists of fine-grained road network modelling and trajectory matching is proposed. Then, in the defined time slice, incorporating the idea of ride-sharing routes generation, according to the density-based clustering principle and considering topology between trajectories, a path clustering algorithm PATHSCAN is developed to generate the one-day path clusters. After that, a frequent pattern mining algorithm is applied to the multiday path clusters, and frequent pattern results with spatio-temporal correlation will be merged into the final service area. The generated planning results will cover ride-matching trips and high-frequency riding paths. Detailed application analysis and verification are carried out by using the real data from Tianjin, China. Through the evaluation and verification under the relatively limited experimental data set, the proposed data-driven method shows ideal planning results. Flexible bus service can supplement the green short-distance travel mode after the suspension of FFBS and can avoid FFBS travel demands switched to unsustainable transportation modes to a large extent. This study will contribute to urban sustainable transportation development and improving greenness.http://dx.doi.org/10.1155/2023/3187654 |
| spellingShingle | Yujia Wang Yuan Tian Binyu Yang Jian Wang Xiaowei Hu Shi An Planning Flexible Bus Service as an Alternative to Suspended Bicycle-Sharing Service: A Data-Driven Approach Journal of Advanced Transportation |
| title | Planning Flexible Bus Service as an Alternative to Suspended Bicycle-Sharing Service: A Data-Driven Approach |
| title_full | Planning Flexible Bus Service as an Alternative to Suspended Bicycle-Sharing Service: A Data-Driven Approach |
| title_fullStr | Planning Flexible Bus Service as an Alternative to Suspended Bicycle-Sharing Service: A Data-Driven Approach |
| title_full_unstemmed | Planning Flexible Bus Service as an Alternative to Suspended Bicycle-Sharing Service: A Data-Driven Approach |
| title_short | Planning Flexible Bus Service as an Alternative to Suspended Bicycle-Sharing Service: A Data-Driven Approach |
| title_sort | planning flexible bus service as an alternative to suspended bicycle sharing service a data driven approach |
| url | http://dx.doi.org/10.1155/2023/3187654 |
| work_keys_str_mv | AT yujiawang planningflexiblebusserviceasanalternativetosuspendedbicyclesharingserviceadatadrivenapproach AT yuantian planningflexiblebusserviceasanalternativetosuspendedbicyclesharingserviceadatadrivenapproach AT binyuyang planningflexiblebusserviceasanalternativetosuspendedbicyclesharingserviceadatadrivenapproach AT jianwang planningflexiblebusserviceasanalternativetosuspendedbicyclesharingserviceadatadrivenapproach AT xiaoweihu planningflexiblebusserviceasanalternativetosuspendedbicyclesharingserviceadatadrivenapproach AT shian planningflexiblebusserviceasanalternativetosuspendedbicyclesharingserviceadatadrivenapproach |