Skip to Main content Skip to Navigation
Journal articles

The influence of aggregation level and category construction on estimation quality for freight trip generation models

Abstract : This paper analyzes the impacts of aggregation level and category construction on the relevance and quality of freight trip generation (FTG) models. More precisely, constant generations and functional form models are compared, as well as activity and activity-workforce categories. The paper proposes a method to compare constant generation and functional form models on different category classifications based on MAPE estimations. Functional forms are assessed via linear regression and compared using Pearson coefficient. Results show that the aggregation level has not always a positive impact on the model’s accuracy and the choice of suitable functional form leads to more accurate models.
Document type :
Journal articles
Complete list of metadata

https://hal-emse.ccsd.cnrs.fr/emse-01860647
Contributor : Accord Elsevier Ccsd Connect in order to contact the contributor
Submitted on : Thursday, October 21, 2021 - 7:11:09 PM
Last modification on : Wednesday, November 3, 2021 - 9:34:00 AM

File

S1366554517303216.pdf
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution - NonCommercial 4.0 International License

Identifiers

Citation

Jesus Gonzalez-Feliu, Iván Sánchez-Díaz. The influence of aggregation level and category construction on estimation quality for freight trip generation models. Transportation Research Part E: Logistics and Transportation Review, Elsevier, 2019, 121, pp.134-148. ⟨10.1016/j.tre.2018.07.007⟩. ⟨emse-01860647⟩

Share

Metrics

Les métriques sont temporairement indisponibles