Abstract

This paper investigates the opportunities offered by floating car data (FCD) to infer delivering activities. A discrete trip-chain order model (within the random utility theory) for light goods vehicles (laden weight less than 3.5 tons) is hence proposed, which characterizes delivery tours in terms of the number of stops/deliveries performed. Thus, the main goal of the study is to calibrate a discrete choice model to estimate the number of stops/deliveries per tour by using FCD, which can be incorporated in a planning procedure for obtaining a preliminary assessment of parking demand. The data used refer to light goods vehicles operating in the Veneto region. The database contains more than 8000 tours undertaken in 60 working days. Satisfactory results have been obtained in terms of tour estimation and model transferability.

Highlights

  • Freight vehicle origin–destination (O–D) matrices play a key role within the assessment procedures of city logistics scenarios, and the simulation of delivery tours allows these O–D flows to be obtained [1]

  • Surveys provide usable data for model calibration and these could be used for O–D matrix estimation

  • A discrete choice model was calibrated using floating car data (FCD) related to light freight vehicles

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Summary

Introduction

Freight vehicle origin–destination (O–D) matrices play a key role within the assessment procedures of city logistics scenarios, and the simulation of delivery tours allows these O–D flows to be obtained [1]. FCD allow us to trace the origin and the destination of the travel ( providing the path followed) and, due to the high number of collected points, they guarantee adequate spatial and temporal coverage They become useful to individuate the travel patterns or to build the O–D matrix. A model to characterize delivery tours (a tour is intended as a set of consecutive trips undertaken by a vehicle starting and ending at vehicle depot location) starting from an origin is specified and calibrated, and its transferability is indicated. This model estimates the number of stops/deliveries performed by a light goods vehicle during a tour.

Background
Model Formulation
Study Area
Data Analysis
Estimation thatThis the tours starting from province are 8520
Validation Results 8388
Findings
Conclusions
Full Text
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