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

Jesus Gonzalez-Feliu 1, 2, 3 Iván Sánchez-Díaz 4
1 Mines Saint-Etienne, Univ Lyon, Univ Jean Moulin, Univ Lumière, Univ Jean Monnet, ENTPE, INSA Lyon, ENS Lyon, CNRS, UMR 5600 EVS, Institut Henri Fayol, Departement GEO, F - 42023 Saint-Etienne France
Mines Saint-Etienne - Ecole des Mines de Saint-Etienne (Institut Mines-Télécom (IMT))
2 Mines Saint-Étienne MSE - École des Mines de Saint-Étienne
3 EVS - Environnement Ville Société
4 Chalmers University of Technology [Göteborg]
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.
Keywords : Error assessment Comparative analysis Freight trip generation Aggregation level
Document type :
Journal articles
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https://hal-emse.ccsd.cnrs.fr/emse-01860647
Contributor : Florent Breuil <>
Submitted on : Thursday, August 23, 2018 - 3:24:58 PM
Last modification on : Tuesday, April 9, 2019 - 5:00:17 PM

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EMSE | EVS-PIESO-ENSMSE | FAYOL-ENSMSE | PIESO-ENSMSE | UNIV-LYON3 | INSTITUT-TELECOM | TDS-MACS | ENS-LYON | UNIV-LYON2 | UNIV-ST-ETIENNE | INSA-LYON | ENTPE | LABEXIMU | INSA-GROUPE | EVS_UMR5600

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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⟩

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