Modeling retail establishments’ freight trip generation
A comparison of methodologies to predict total weekly deliveries
Bibliographic Data
| ID | 19337451 |
|---|---|
| Authors | André Romano Alho (0000-0003-3275-7174, University of Lisbon, corresponding author), João de Abreu e Silva (0000-0002-7893-2671, University of Lisbon) |
| Year | 2017 |
| Volume | 44 |
| Issue | 5 |
| Pages | 1195-1212 |
| Publication date | 2017-09-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Transportation (JOURNAL) |
| Journal identifiers | ISSN: 0049-4488 • E-ISSN: 1572-9435 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s11116-016-9700-z |
| OpenAlex | W2301810113 |
| Language | EN |
| Citations received | 6 |
| References cited | 17 |
Dimension (graph theory) · Econometrics · Logit · Operations research · Ordinary least squares · Quality (philosophy) · Statistics · Transport engineering · Trip generation · Variable (mathematics) · Variables · Computer Science · Engineering · Maritime Ports and Logistics · Mathematics · Transportation Planning and Optimization · Urban and Freight Transport Logistics
| Unique citing works | 6 |
|---|---|
| Citations per year | 0,75 |
| Citation span | 2018 - 2024 (7) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 5 |