How the built environment affects E-scooter sharing link flows
A machine learning approach
Bibliographic Data
| ID | 12293360 |
|---|---|
| Authors | Scarlett T Jin (0000-0002-2714-6873, Virginia Tech, corresponding author), Lei Wang (0000-0001-5326-565X, Chinese Academy of Sciences), Daniel Sui, Daniel Z Sui (0009-0006-1129-021X, Virginia Tech) |
| Year | 2023 |
| Volume | 112 |
| Pages | 103687-103687 |
| Publication date | 2023-08-25 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Transport Geography (JOURNAL) |
| Journal identifiers | ISSN: 0966-6923 • E-ISSN: 1873-1236 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.jtrangeo.2023.103687 |
| OpenAlex | W4386174091 |
| Language | EN |
| Citations received | 10 |
| References cited | 51 |
Bike sharing · Boosting (machine learning · Built environment · Civil engineering · Computer network · Decision tree · Gradient boosting · Link (geometry · Random forest · Transport engineering · Travel behavior · Tree (set theory · Computer Science · Engineering · Smart Parking Systems Research · Urban and Freight Transport Logistics · Urban Transport and Accessibility · Artificial Intelligence
Built environment determinants of e-scooter route deviations
Long-term bike-sharing demand forecasting and interpretability analysis considering Urban Heat Island (UHI)
Nonlinear Influence of the Built Environment on the Attraction of the Third Activity
Optimization of Shared Electric Scooter Deployment Stations Based on Distance Tolerance
Spatiotemporal analysis for travel patterns of the personal mobility using an explainable machine learning approach
E-scooter dynamics in a tourism-driven city
Impact of built environment on deadheading in ride-hailing services
A comparative analysis of the spatial determinants of e-bike and e-scooter sharing link flows
Understanding how street environment affects e-scooter mode choice through travel experience
Built environment's main and moderating associations with travel mode choice across trip purposes
Classification And Regression Trees
Comparing measures of urban land use mix
Built environments and mode choice
Travel and the Built Environment
The influence of land use on travel behavior
Influences of Built Environments on Walking and Cycling
Applying gradient boosting decision trees to examine non-linear effects of the built environment on driving distance in Oslo
How the built environment affects physical activity
Examining non-linear built environment effects on elderly’s walking
The Role of Land Use in Travel Mode Choice
A working guide to boosted regression trees
Greedy function approximation
Travel demand and the 3Ds
Understanding the Shared E-scooter Travels in Austin, TX
Understanding spatio-temporal heterogeneity of bike-sharing and scooter-sharing mobility
E-scooters and sustainability
An analysis of bicycle route choice preferences in Texas, US
Spatial analysis of shared e-scooter trips
Assessing the role of the built environment and sociodemographic characteristics on walking travel distances in Bogotá
Spatiotemporal comparative analysis of scooter-share and bike-share usage patterns in Washington, D.C
Joint analysis of the impacts of built environment on bikeshare station capacity and trip attractions
Influence of the built environment on E-scooter sharing ridership
Nonlinear and threshold effects of the built environment on e-scooter sharing ridership
On Form versus Function
Examining the associations between perceived built environment and active travel, before and after the Covid-19 outbreak in Shiraz city, Iran
Travel and the Built Environment
| Unique citing works | 10 |
|---|---|
| Citations per year | 5 |
| Citation span | 2024 - 2026 (3) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 9 |