Modeling urban activity-travel demand with activity pattern heterogeneity
An integrated LDA and interpretable ML framework
Dados Bibliográficos
| ID | 12295201 |
|---|---|
| Autores | Dawei Li (0000-0002-3891-5033, autor correspondente), Tong Zhang (0000-0003-1637-0666), Dongding Li |
| Ano | 2025 |
| Volume | 130 |
| Páginas | 104498-104498 |
| Data de publicação | 2025-12-02 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | Journal of Transport Geography (JOURNAL) |
| Identificadores do periódico | ISSN: 0966-6923 • E-ISSN: 1873-1236 |
| Editora | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.jtrangeo.2025.104498 |
| OpenAlex | W7108214355 |
| Idioma | EN |
| Referências citadas | 39 |
Pattern analysis · Pattern recognition (psychology · Poison control · Human Mobility and Location-Based Analysis · Traffic Prediction and Management Techniques · Transportation Planning and Optimization
The promises of big data and small data for travel behavior (aka human mobility) analysis
Silhouettes
Learning daily activity patterns with probabilistic grammars
Discovering urban activity patterns in cell phone data
A time-use activity-pattern recognition model for activity-based travel demand modeling
Agent-based model for continuous activity planning with an open planning horizon
A mixed Bayesian network for two-dimensional decision modeling of departure time and mode choice
Microscopic activity sequence generation
Big data for big issues
From edit distance to augmented space-time-weighted edit distance
| Velocidade de citação | historical |
|---|---|
| Altamente citado | Não |