A logit model for shipment size choice with latent classes – Empirical findings for Germany

Piendl, Raphael; Liedtke, Gernot; Matteis, Tilman

doi:10.1016/j.tra.2016.08.023

Cited by 17 publications

(32 citation statements)

References 10 publications

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“…Latent Class Analysis (LCA) is also applicable to shipment size optimization. Raphael Piendl, Gernot Liedtke and Tilman Matteis [10] combine LCA and minimization of the total logistics costs. The proposed model divides transport cases into classes according to similar response patterns.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimization of urban freight transportation based on evolutionary modelling

Gladchenko

Saprykin

Тихонов

2019

Proceedings of the v International Conference Information Technology and Nanotechnology 2019

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Logistics problems require special attention, because every year they become more complicated and multivariable. On the one hand, a supply chain management includes incessant monitoring of such issues as requests elaboration, paths determination, routing of shipments, multimodal choice, set up of transhipments, fleet choice and maintenance, warehousing, packaging and others. On the other hand, dozens of people are involved in the logistics process. All these moments complicate the decision-making that is why data driven decisions are required nowadays. As well as shipment problems are NP-hard, the heuristic methods should be applied to resolve them. In this article we propose a genetic algorithm to solve the complex problem that consists of the Travelling Salesman Problem combined with the Knapsack Problem. We have developed an urban freight transportation model which is focused on the minimization of the underway time as well as on the maximization of the truck’s loading. A significant contribution in our method is the census of traffic frequency by using traffic zoning. The developed approach has been implemented using the Python programming language in the Zeppelin environment. The first version of the system has been approved in the city of Samara (Russia) with test demand dataset.

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Section: Literature Reviewmentioning

confidence: 99%

Optimization of urban freight transportation based on evolutionary modelling

Gladchenko

Saprykin

Тихонов

2019

Proceedings of the v International Conference Information Technology and Nanotechnology 2019

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“…Distance-and emission class based charges may affect the logistics of ordering goods in the sense of the size of orders. Therefore, many empirical studies analyse these decisions jointly: Windisch Piendl et al (2016) develop a model for interregional road freight including shipment size choice for Germany. The models are markedly different in approach, empirical data used and form, and allow no direct comparison of parameters.…”

Section: Introductionmentioning

confidence: 99%

Exploring the impacts of an emission based truck charge in the Netherlands

Bok

Bal

Tavasszy

et al. 2020

Case Studies on Transport Policy

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In this paper we explore the possible impacts of a distance-and emission-class based truck charge in The Netherlands. Earlier studies suggest that shifts may occur towards heavy vehicles, due to the relative inefficiency of lighter vehicles types. However, these studies have not taken into account the effects of changes in shipment size, as a response to pricing measures. Also, these studies have not considered emission-class dependent charges. Thirdly, no empirical disaggregate models or studies are available for the Netherlands for this problem. We present a discrete choice model for the joint choice of vehicle type and shipment size, estimated on a large dataset of disaggregate carrier freight trip data. The model explains variations in vehicle type choice for different transport purposes and contexts (e.g. commodity type, long-haul, urban transport, to/from logistic nodes). The analysis of emission based truck charging schemes shows that substitution towards low emission vehicles can be expected within the same vehicle class. It is also not likely that the truck charge will lead to a significant increase of shipment sizes or to substitution between vehicle types: a distance based truck charge increases transport costs but inventory costs restrain a shift to larger shipment sizes. This result points to a limited capability of supply chains to absorb transport cost increases by logistics re-organisation.

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“…Order Quantity (EOQ) model), where the optimum shipment size is determined by minimizing the inventory, handling, and transport costs (Baumol and Vinod, 1970;Wisetjindawat et al, 2006;De Jong and Johnson, 2009); (Piendl et al, 2017). At the operational level, shipment size is modelled either by discrete choice models (Pourabdollahi et al, 2013;Abate and de Jong, 2014)…”

Section: Shipment Size and Vehicle Typementioning

confidence: 99%

“…Latent class models offer an alternative approach where the continuous distribution of parameters over the sample population is replaced by a discrete distribution. For example, Piendl et al (2017) specified a latent class model for the choice of shipment size on the basis of the commodity type.…”

Section: Decision Process Paradigmmentioning

confidence: 99%

“…While segmentation of the population has been applied in a few examples (e.g. developing separate models for shippers and carriers (Irannezhad et al, 2017c), separate models for each commodity type, Kawamura et al, 2010), and exogenous segmentation (Piendl et al, 2017)), researchers are yet to fully capture the distinctive role of decision makers in freight surveys. Accordingly, despite the growing body of freight studies accounting the heterogeneity and APSs, there is a need for further improvements in freight surveys and models.…”

Section: Decision Process Paradigmmentioning

confidence: 99%

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Contributions to behavioural freight transport modelling

Irannezhad¹

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The empirical applications of behavioural freight transport models accounting for several dimensions of decision-making process strengthen our understanding of the impacts of various freight-related policies. Several developments have been made in recent years to model the choices of freight transport actors. In line with these developments, the goal of this research is to apply a set of models which gain insight into the behavioural underpinnings that affect decision-making in freight sectors. However, it should be noted that the complex and heterogeneous nature of freight decision making is an imperative impediment to developing a behavioural model that can represent all dimensions of decision making.While this study acknowledges that there are several choice decisions in the freight transportation system, this PhD study focuses on the most important ones including the choices of shipment size, using transshipment points and duration of storage, choosing the mode/vehicle of transport. Accordingly, this research is an effort to apply some empirical tools and approaches including advanced choice models and agent-based simulation in order to yield further gains in understanding of these particular decisions.Within decision making process of freight transport, there are multiple interrelated constructs that can be tackled from various angles. This research attempts to apply advance choice techniques to model a few of these interrelated decisions in freight transport. To achieve this target, contributions are given to several components of two sets of interrelated decisions by (i) modelling the joint decisions of shipment size and vehicle type using a copula-based continuous-discrete choice model; (ii) modelling the joint decisions of using a container terminal and the resulting dwell-time of staging full containers using a copulabased discrete-discrete choice model.Considering the differences in decision-making between for-hire carriers and ancillary shippers, separate different models are estimated while the assumption of pure utility maximization is relaxed via a hybrid utility-regret specification. Results of a case study show that differences exist between shippers' and carriers' preferences, and they prove the Publications during candidature Refereed Journal Papers 1. Nassir, Neema, Hickman, Mark, Malekzadeh, Ali, and Irannezhad, Elnaz

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A logit model for shipment size choice with latent classes – Empirical findings for Germany

Cited by 17 publications

References 10 publications

Optimization of urban freight transportation based on evolutionary modelling

Optimization of urban freight transportation based on evolutionary modelling

Exploring the impacts of an emission based truck charge in the Netherlands

Contributions to behavioural freight transport modelling

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