Quantifying the overall spatial distribution characteristics of urban heavy truck trips
The case of China
Bibliographic Data
| ID | 12294010 |
|---|---|
| Authors | Ying-Yue Lv (Beijing Jiaotong University), Xiao-Yong Yan (0000-0003-2091-6967, Beijing Jiaotong University, corresponding author), Bin Jia (0000-0002-3242-0574, Beijing Jiaotong University, corresponding author), Yitao Yang (0000-0002-9650-9981, Beijing Jiaotong University, corresponding author), Erjian Liu (0000-0003-0376-149X, Beijing Jiaotong University) |
| Year | 2024 |
| Volume | 115 |
| Pages | 103822-103822 |
| Publication date | 2024-02-01 |
| 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.2024.103822 |
| OpenAlex | W4392133436 |
| Language | EN |
| Citations received | 7 |
| References cited | 31 |
Centrality · China · Distribution (mathematics · Geography · Index (typography · Megacity · Statistics · Transport engineering · TRIPS architecture · Truck · Computer Science · Engineering · Human Mobility and Location-Based Analysis · Maritime Ports and Logistics · Urban and Freight Transport Logistics
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The geography of freight-related accidents in the era of E-commerce
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Monitoring trucks to reveal Belgian geographical structures and dynamics
Quantifying Urban Form
| Unique citing works | 7 |
|---|---|
| Citations per year | 3,5 |
| Citation span | 2024 - 2026 (3) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 7 |