A Multiclass Tour Flow Model and Its Role in Multiclass Freight Tour Synthesis
Artikel i vetenskaplig tidskrift, 2020

This paper summarizes the research conducted by the authors concerning the development of an analytical freight demand model that explicitly considers freight pickup and delivery flows by industry sector, the multiclass tour flow model (MC-TFM). The mathematical properties of the resultant model are investigated, including the convexity of the optimization model, the interconnection between the MC-TFM and the family of gravity models, and the MC-TFM's elasticities. The MC-TFM is then integrated into a multiclass freight tour synthesis model (MC-FTS) that is capable of inferring freight tour demand on the basis of secondary data such as traffic counts and estimates of freight trip generation by industry sector. The ability of the resulting MC-FTS is tested by means of numerical experiments involving test cases.

freight tours

freight tour synthesis

urban freight

urban freight data

OD synthesis

Författare

Jose Holguin-Veras

Rensselaer Polytech Inst, Dept Civil & Environm Engn, Ctr Infrastruct Transportat & Environm

Trilce Encarnacion

Rensselaer Polytech Inst, Dept Civil & Environm Engn, Ctr Infrastruct Transportat & Environm

Diana Ramirez-Rios

Rensselaer Polytech Inst, Dept Civil & Environm Engn, Ctr Infrastruct Transportat & Environm

Xiaozheng (Sean) He

Rensselaer Polytech Inst, Dept Civil & Environm Engn, Ctr Infrastruct Transportat & Environm

Lokesh Kalahasthi

Rensselaer Polytech Inst, Dept Civil & Environm Engn, Ctr Infrastruct Transportat & Environm

Sofia Perez-Guzman

Rensselaer Polytech Inst, Dept Civil & Environm Engn, Ctr Infrastruct Transportat & Environm

Ivan Sanchez-Diaz

Chalmers, Teknikens ekonomi och organisation, Service Management and Logistics

Carlos A. Gonzalez-Calderon

Natl Univ Colombia Medellin

Transportation Science

0041-1655 (ISSN) 1526-5447 (eISSN)

Vol. 54 3 631-650

Ämneskategorier

Teknisk mekanik

Transportteknik och logistik

Sannolikhetsteori och statistik

DOI

10.1287/trsc.2019.0936

Mer information

Senast uppdaterat

2020-06-30