Refocusing the Modelling of Freight Distribution: Development of an Economic-Based Framework to Evaluate Supply Chain Behaviour in Response to Congestion Charging

Hensher, David A.; Puckett, Sean

doi:10.1007/s11116-004-7615-6

Cited by 50 publications

(17 citation statements)

References 30 publications

(30 reference statements)

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“…California is also home to the Ports of Long Beach and Los Angeles in the San Pedro Bay, the largest container port in the U.S. and the fifth largest in the world (Giuliano et al 2007). Hensher and Puckett (2005) and Giuliano et al (2007) discuss some of the attributes that make an ideal freight demand model: a strong behavioral foundation; a multimodal scope; incorporating freight and passenger interactions; and capable of handling policy changes. However, many modeling efforts fall far short of meeting these objectives.…”

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confidence: 99%

State-of-the art of freight forecast modeling: lessons learned and the road ahead

2010

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In this paper we review freight forecasting models and current advances and needs with respect to data and model development. We then present a case study to suggest which models should be developed for the State of California in the US. We suggest several alternatives including an aggregate commodity flow model, a disaggregate regional logistics model and a hybrid regional logistics model with a truck touring model. We point out however, that the data requirements for the latter model would be extensive. In addition, the development of hybrid models, for example progress in the integration of regional logistics models with urban truck touring models, will introduce new problems such as reconciling the outputs of multiple models for consistency.

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confidence: 99%

State-of-the art of freight forecast modeling: lessons learned and the road ahead

2010

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“…In this respect, the authors acknowledge that stakeholder-specific data acquisition is needed not only when local authorities want to adopt distinct policy instruments for different stakeholders or stakeholders types, but also when homogeneous policies impacting the various stakeholders are considered. Other relevant application of SP data and DCM for analysing stakeholders' behaviour with respect to UFT policies can be found in [15,[73][74][75][76][77][78]. DCM are useful in helping decision-makers defining the possible policies stakeholders most prefer, given their stated choices for alternative policy configurations.…”

Section: Methods and Tools To Support Stakeholder Engagementmentioning

confidence: 99%

Towards a decision-support procedure to foster stakeholder involvement and acceptability of urban freight transport policies

Pira

Marcucci

Gatta

et al. 2017

Eur. Transp. Res. Rev.

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Purpose This paper addresses the complex problem of multi-stakeholder decisions in urban freight transport policy-making from a public authority perspective, by proposing a procedure based on a modelling approach to support stakeholder involvement in the decisionmaking process. The paper analyses the existing methods that can be used for participatory decision-support, with the intent of contextualizing and introducing the innovative modelling approach. Methods The modelling approach consists of a well-thought integration of discrete choice models (DCM) with agent-based models (ABM) as an effective way to account for stakeholders' opinions in the policy-making process, while mimicking their interaction to find a shared policy package. The integrated modelling approach is able to combine the advantages of the two methods while overcoming their respective weaknesses. Since it is well grounded on sound microeconomic theory, it provides a detailed (static) stakeholders' behavioural knowledge, but it is also capable of reproducing agents' (dynamic) interaction during the decision-making process. The integration allows performing an ex-ante behavioural analysis, with the aim of testing the potential acceptability of the solutions proposed. The methodology is applied in a real case study to prove its feasibility and usefulness for participatory decision-making. Results The integrated modelling approach can be used for participatory decision-support and it can be casted in the overall UFT policy-making process. The results of the behavioural analysis, in terms of ranking of potentially accepted policies, linked with the technical evaluations from transport network modelling tools, provide a sound basis for active participation and deliberation with stakeholders and policy-makers. The aim is to guide an effective participation process aimed at consensus building among stakeholders, by proposing them a subset of policies that, as a result of a preliminary analysis, are likely to be accepted while performing well in terms of technical results. Conclusions This approach, integrating DCM and ABM, represents a promising way to tackle the complexity of multistakeholder involvement in UFT policy-making and to support an efficient and effective decision-making process. It produces an added value for UFT policy-making and it can be framed in the overall context of transport planning. In fact, together with technical and economic analyses, the stakeholder behavioural analysis proposed contributes to the ex-ante policy assessment needed to support decision-makers in taking well-thought decisions.

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“…The result of this process is a choice outcome that can be decomposed conditional upon the options available within the experimental design (Hensher and Puckett 2005).…”

Section: Discrete Choice Analysismentioning

confidence: 99%

What Drives the Choice of a Third-Party Logistics Provider?

Anderson

Coltman

Devinney

et al. 2011

Journal of Supply Chain Management

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It is generally believed that companies choose supply chain partners on the basis of their distinctive value propositions -a fact one would also expect holds true when companies choose a logistics service provider. However, faced with the complexities of varied customer demands, it can be difficult for logistics service companies to obtain an effective understanding of how customers differentially value the service components they offer. In this paper, we address this by identifying the factors that are important in a customer's choice of a logistics service provider. Using stated choice methods we explore the relative importance of seven service attributes using a sample of 309 managers with a central role in purchasing logistics services across a range of industries and countries. The results reveal that three distinct decision models populate our data where the preferences for different logistics service attributes -such as price and delivery performance -vary greatly between customer groups represented by these models. Strategically, our findings provide the management of a third party logistics provider with a logical starting point from which to determine the goals that are set for their operations, particularly in choosing the customer segments to service.

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Refocusing the Modelling of Freight Distribution: Development of an Economic-Based Framework to Evaluate Supply Chain Behaviour in Response to Congestion Charging

Cited by 50 publications

References 30 publications

State-of-the art of freight forecast modeling: lessons learned and the road ahead

State-of-the art of freight forecast modeling: lessons learned and the road ahead

Towards a decision-support procedure to foster stakeholder involvement and acceptability of urban freight transport policies

What Drives the Choice of a Third-Party Logistics Provider?

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