A Trip Purpose Inference Method Considering the Origin and Destination of Shared Bicycles
This study advances the inference of travel purposes for dockless bike-sharing users by integrating dockless bike-sharing and point of interest (POI) data, thereby enhancing traditional models. The methodology involves cleansing dockless bike-sharing datasets, identifying destination areas via users...
Saved in:
| Main Authors: | Haicheng Xiao, Xueyan Shen, Xiujian Yang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-01-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/1/483 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Data analytics to advance the inference of origin–destination in public transport systems: tracing network vulnerabilities and age-sensitive trip purposes
by: Sofia Cerqueira, et al.
Published: (2025-05-01) -
Metropolitan bicycle-sharing system in the Polish context of various needs of cities, towns, and villages
by: Kwiatkowski Michał Adam
Published: (2021-12-01) -
Location selection of bicycle sharing delivery points based on rebalancing supply and demand
by: Hanqiang Qian, et al.
Published: (2025-06-01) -
Determinants of Dockless Bicycle-Sharing Adoption and Usage Intensity for Commuting and Errands: Evidence from Disadvantaged Neighborhoods
by: Hongyu Wang, et al.
Published: (2024-11-01) -
High-low level features of destination personality: A four-stage validation study
by: João Martins, et al.
Published: (2025-01-01)