A disaggregate stochastic freight transport model for Sweden

Abate, Megersa; Vierth, Inge; Karlsson, Rickard; Jong, Gerard de; Baak, Jaap

doi:10.1007/s11116-018-9856-9

Cited by 29 publications

(15 citation statements)

References 13 publications

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“…A two-step estimation method is used to remove the simultaneity bias that occurs in the decisions on shipment and vehicle sizes. Abate et al ( 13 ) propose a discrete-discrete model for transport mode chain and shipment size as a part of the national freight transport model for Sweden. Similarly, Stinson et al ( 14 ) estimate a nested logit model for transport mode (defined as the first level) and discretized shipment size (defined as the second level) using records from the U.S. Commodity Flow Survey Microdata.…”

Section: Literature Reviewmentioning

confidence: 99%

Empirical Shipment Size Model for Urban Freight and its Implications

Sakai

Alho

Hyodo

et al. 2020

Transportation Research Record: Journal of the Transportation R

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Modeling shipment size for intra-city shipments is a subject that has not been sufficiently addressed in past research, despite its growing importance in disaggregate freight modeling. While past research on shipment size estimation mainly focuses on inter-city shipments, intra-city shipments differ from them in various aspects. In filling this research gap, this study estimates shipment size models using the records of intra-city shipments, identifying the effects of factors and heterogeneity on the shipment size selection mechanism. The estimated coefficients are also compared against their theoretical values derived from a conceptual economic order quantity model. The estimated empirical models highlight the characteristics of intra-city shipments and indicate the importance of both receiver function and commodity type, and also vehicle operation type, in capturing the nuances of the selection mechanism among intra-city shipments.

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Section: Literature Reviewmentioning

confidence: 99%

Empirical Shipment Size Model for Urban Freight and its Implications

Sakai

Alho

Hyodo

et al. 2020

Transportation Research Record: Journal of the Transportation R

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“…Examples are the Norwegian, Swedish and Danish national freight transport models (Ben-Akiva and de Jong, 2013, Windisch et al 2010. The only applied disaggregate chain choice model, at least for Europe, is Abate et al (2018), which is only a prototype model for two commodities. Also, ) through a multimodal network belong to this category (e.g.…”

Section: Literature Review Of Previous Freight Modelling Approachesmentioning

confidence: 99%

“…The first contribution of this study is the probabilistic modelling of chain choice across commodity groups. What distinguishes the presented model from the existing operating national ADA models is that these typically adopt a transport chain choice which is modelled as a deterministic choice that searches for the optimum by minimising the total logistics costs (see Ben-Akiva and de Jong, 2013;Abate et al, 2018). This is a common strategy when micro-data is not available for estimation, as it allows for a disaggregate model (and therefore some level of heterogeneity) within an overall aggregate model.…”

Section: Contributions Of the Studymentioning

confidence: 99%

“…This enables a better estimation of substitution effects and a better trade-off between chain flows and transport costs. Abate et al (2018) also did this in the Swedish freight transport model, but only applied it to two different commodities (chemical and metal products). This paper contains estimation and application results for all commodities.…”

Section: Contributions Of the Studymentioning

confidence: 99%

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A disaggregate freight transport chain choice model for Europe

Jensen

Thorhauge

Jong

et al. 2019

Transportation Research Part E: Logistics and Transportation Re

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This paper presents the estimation of a discrete freight transport chain choice model for Europe, which was developed for the European Union as part of the Transtools 3 project. The model describes nine different multi-and single mode chain alternatives of which three can be either container or non-containerised, and it segments freight into dry bulk, liquid bulk, containers and general cargo. The model was estimated on the basis of disaggregate data at the shipment level (Swedish CFS and French ECHO data). Several transport costs specifications and nesting structures were tested and elasticities compared with reference literature. It was found that freight models are characterised by heterogeneity, non-linearity in transport costs and hence Value of Times and nonconstant rates of substitution. Not taking these elements into account will have consequences for the evaluation of transport policies using the freight transport model.

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“…Ben-Akiva and de Jong propose an Aggregate-Disaggregate-Aggregate (ADA) freight model system that specifies the procedure to disaggregate zone-to-zone flows to establishment-to-establishment flows. The ADA freight model system was implemented in the Swedish national freight transport model (SAMGODS) (Abate et al 2018). Zhao et al (2015) propose another approach to disaggregate zone-to-zone flows to firm group-to-firm group flows through a linear programing (LP) problem.…”

Section: Literature Reviewmentioning

confidence: 99%

Commodity flow estimation for a metropolitan scale freight modeling system: supplier selection considering distribution channel using an error component logit mixture model

et al. 2018

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Freight forecasting models have been significantly improved in recent years, especially in the field of goods vehicle behavior modeling. On the other hand, the improvements to commodity flow modeling, which provide inputs for goods vehicle simulations, were limited. Contributing to this component in urban freight modeling systems, we propose an error component logit mixture model for matching a receiver to a supplier that considers two-layers in supplier selection: distribution channels and specific suppliers. The distribution channel is an important element in freight modeling, as the type of distribution channel is relevant to various aspects of shipments and vehicle trips. The model is estimated using the data from the Tokyo Metropolitan Freight Survey. We demonstrate how typical establishment survey data (i.e. establishment and outbound shipment records) can be used to develop the model. The model captures the correlation structure of potential suppliers defined by business function and provides insights on the differences in the supplier choice by distribution channel. The reproducibility tests confirm the validity of the proposed approach, which is currently integrated into a metropolitan-scale agent-based freight modeling system, for practical use. Keywords Freight demand model · Urban freight · Commodity flow · Error component logit mixture · Disaggregate

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A disaggregate stochastic freight transport model for Sweden

Abstract: The World Bank

Cited by 29 publications

References 13 publications

Empirical Shipment Size Model for Urban Freight and its Implications

Empirical Shipment Size Model for Urban Freight and its Implications

A disaggregate freight transport chain choice model for Europe

Commodity flow estimation for a metropolitan scale freight modeling system: supplier selection considering distribution channel using an error component logit mixture model

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