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Costs and Benefits of Logistics Pooling for Urban Freight Distribution: Scenario Assessment for Strategic Decision Support

Costs and Benefits of Logistics Pooling for Urban Freight Distribution: Scenario Assessment for Strategic Decision Support

Copyright: © 2019 |Pages: 33
ISBN13: 9781522582922|ISBN10: 1522582924|ISBN13 Softcover: 9781522590897|EISBN13: 9781522582939
DOI: 10.4018/978-1-5225-8292-2.ch008
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MLA

Jesus Gonzalez-Feliu. "Costs and Benefits of Logistics Pooling for Urban Freight Distribution: Scenario Assessment for Strategic Decision Support." Logistics and Transport Modeling in Urban Goods Movement, IGI Global, 2019, pp.183-215. https://doi.org/10.4018/978-1-5225-8292-2.ch008

APA

J. Gonzalez-Feliu (2019). Costs and Benefits of Logistics Pooling for Urban Freight Distribution: Scenario Assessment for Strategic Decision Support. IGI Global. https://doi.org/10.4018/978-1-5225-8292-2.ch008

Chicago

Jesus Gonzalez-Feliu. "Costs and Benefits of Logistics Pooling for Urban Freight Distribution: Scenario Assessment for Strategic Decision Support." In Logistics and Transport Modeling in Urban Goods Movement. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-8292-2.ch008

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Abstract

Collaborative transportation and logistics pooling are relatively new concepts in research, but are very popular in practice. In the last years, collaborative transportation seems a good city logistics alternative to classical urban consolidation centers, but it is still in a development stage. This chapter proposes a framework for urban logistics pooling ex-ante evaluation. This framework is developed with two purposes. The first is to generate comparable contrasted or progressive scenarios representing realistic situations; the second to simulate and assess them to make a “before-after” comparative analysis. In this framework, a demand generation model is combined with a route optimization algorithm to simulate the resulting routes of the proposed individual or collaborative distribution schemes assumed by each scenario. Then, several indicators are obtained. To illustrate that framework, several scenarios for the urban area of Lyon (France) are simulated and discussed to illustrate the proposed framework possible applications.

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