Spatial Aggregation Issues in Traffic Assignment Models
| Autor: | Ouassim Manout, Patrick Bonnel, François Pacull |
|---|---|
| Přispěvatelé: | Laboratoire Aménagement Économie Transports (LAET), Université Lumière - Lyon 2 (UL2)-École Nationale des Travaux Publics de l'État (ENTPE)-Centre National de la Recherche Scientifique (CNRS), Polytechnique Montreal, Architecture & Performance |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
050210 logistics & transportation
Operations research Computer Networks and Communications Computer science 05 social sciences Modifiable Areal Unit Problem (MAUP) 0211 other engineering and technologies Centroid 021107 urban & regional planning 02 engineering and technology Space (commercial competition) [SHS.ECO]Humanities and Social Sciences/Economics and Finance Spatial aggregation Artificial Intelligence Order (exchange) Transport modeling 0502 economics and business Traffic assignment Intrazonal trips Software |
| Zdroj: | Networks and Spatial Economics Networks and Spatial Economics, Springer Verlag, 2021, 21 (1), pp.1-29. ⟨10.1007/s11067-020-09505-6⟩ |
| ISSN: | 1566-113X 1572-9427 |
| DOI: | 10.1007/s11067-020-09505-6⟩ |
| Popis: | International audience; Most transport models rely on a discrete description of space, and are, therefore, subject to spatial aggregation bias. Spatial aggregation induces the use of centroid connectors and the omission of intrazonal trips in traffic assignment. This practice is shown to bias main traffic assignment outcomes, especially in spatially coarse models. To address these modeling errors, the literature suggests some solutions but no clear-cut conclusion on the contribution of these solutions is available. In the current research, we undergo a detailed investigation of the contribution of some of these modeling solutions in order to provide useful and practical recommendations to academics and policy makers. Different assignment strategies that are deemed to mitigate the impacts of spatial aggregation in traffic assignment are explored in different case studies. Findings from this research outline that demand-side assignment strategies outperform supply-side methods in addressing the spatial aggregation problem. The results also suggest that the inclusion of intrazonal demand in traffic assignment is not sufficient to overcome aggregation biases. The definition of connectors is also of importance. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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