Big Data for Travel Demand Modelling Summary and Conclusions
This report examines how big data from mobile phones and other sources can help to forecast travel demand. It identifies the strengths and potential use-cases for big data in transport modelling and mobility analysis. It also examines potential biases, commercial sensitivities and threats to privacy...
| Autor principal: | |
|---|---|
| Autor Corporativo: | |
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Paris :
OECD Publishing
2021.
|
| Colección: | ITF Roundtable Reports,
no.186. |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009705226306719 |
| Sumario: | This report examines how big data from mobile phones and other sources can help to forecast travel demand. It identifies the strengths and potential use-cases for big data in transport modelling and mobility analysis. It also examines potential biases, commercial sensitivities and threats to privacy. The report presents approaches to resolve such issues and offers recommendations for governance arrangements that make data sharing easier. |
|---|---|
| Descripción Física: | 1 online resource (55 p.) |
| ISBN: | 9789282169155 |
