The influence of aggregation level and category construction on estimation quality for freight trip generation models
Artikel i vetenskaplig tidskrift, 2018

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.

error assessment

comparative analysis

aggregation level

Freight trip generation

Författare

Jesus Gonzalez-Feliu

Centre national de la recherche scientifique (CNRS)

Ivan Sanchez-Diaz

Chalmers, Teknikens ekonomi och organisation, Service Management and Logistics

Transportation Research Part E: Logistics and Transportation Review

1366-5545 (ISSN)

Vol. 121 134-148

Ämneskategorier

Produktionsteknik, arbetsvetenskap och ergonomi

Annan maskinteknik

Transportteknik och logistik

Styrkeområden

Transport

DOI

10.1016/j.tre.2018.07.007

Mer information

Senast uppdaterat

2019-08-18