A multi-source data fusion framework for joint population, expenditure, and time use synthesis
Bibliographic Data
| ID | 19337763 |
|---|---|
| Authors | Jason Hawkins (0000-0002-9655-4846, University of Nebraska–Lincoln, corresponding author), Khandker Nurul Habib (0000-0003-1007-6706, University of Toronto) |
| Year | 2023 |
| Volume | 50 |
| Issue | 4 |
| Pages | 1323-1346 |
| Publication date | 2023-08-01 |
| 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/s11116-022-10279-8 |
| OpenAlex | W4220995678 |
| Language | EN |
| Citations received | 1 |
| References cited | 22 |
Aggregate (composite) · Cartography · Data mining · Database · Geocoding · Geography · Machine learning · Population · Sample (material) · Sensor Fusion · Statistics · Survey data collection · Testbed · Workflow · Computer Science · demographic modeling and climate adaptation · Transportation Planning and Optimization · Urban Transport and Accessibility
Method Variance and Marker Variables
Generating twins to build weekly time use data from multiple single day OD surveys
Analysis of long-distance vacation travel demand in the United States
A joint time-assignment and expenditure-allocation model
Population Synthesis Based on Joint Distribution Inference Without Disaggregate Samples
Generating a Synthetic Population of Individuals in Households
A Heuristic Combinatorial Optimisation Approach to Synthesising a Population for Agent Based Modelling Purposes
| Citations per year | 1 |
|---|---|
| Citation span | 2025 - 2025 (1) |
| Highly cited | No |