Freight distribution in megacities: Perspectives of shippers, logistics service providers and carriers

Vieira, José Geraldo Vidal; Fransoo, JC Jan; Carvalho, Carla Deguirmendjian

doi:10.1016/j.jtrangeo.2015.05.007

Cited by 56 publications

(60 citation statements)

References 33 publications

(68 reference statements)

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“…This investment yields a project value of RMB 119.70 billion at the optimal investment size of 40.25 million tons. Point is the result estimated with the RO approach in terms of (14), and the optimal investment size is estimated with the RO approach in terms of (13). Figure 9 also shows that the NPV curves intersect with the horizontal axis at point , which is the result estimated with the NPV approach in terms of (7).…”

Section: Analysis Of Optimal Timing and Size Of A Logistics Parkmentioning

confidence: 81%

“…This means that investors will choose smaller sizes of logistics parks and invest earlier if the government gives a larger subsidy. In contrast, for a fixed government subsidy, as the sensitive coefficient increases, the trigger demand threshold decreases, and the optimal investment size of logistics park decreases, according to (13) and (14). An increase in the sensitive coefficient leads to the decrease of trigger demand threshold and size of logistics parks.…”

Section: (2) Effects Of the Discount Rate And The Duration Of Construmentioning

confidence: 95%

“…Soysal et al [13] presented a network model of wagonload traffic that aimed to determine hub location and size considering the total cost and efficiency of the network system. Vieira et al [14] investigated a hub location problem from the perspective of network design while also considering the transportation cost and travel time and proposed a mixed integer programming formulation. Tang et al [15] presented an optimization model for the location planning problem of logistics parks with variable capacity.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Optimal Investment Timing and Size of a Logistics Park: A Real Options Perspective

Zhang

Jiang

et al. 2017

Complexity

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This paper uses a real options approach to address optimal timing and size of a logistics park investment with logistics demand volatility. Two important problems are examined: when should an investment be introduced, and what size should it be? A real option model is proposed to explicitly incorporate the effect of government subsidies on logistics park investment. Logistic demand that triggers the threshold for investment in a logistics park project is explored analytically. Comparative static analyses of logistics park investment are also carried out. Our analytical results show that (1) investors will select smaller sized logistics parks and prepone the investment if government subsidies are considered; (2) the real option will postpone the optimal investment timing of logistics parks compared with net present value approach; and (3) logistic demands can significantly affect the optimal investment size and timing of logistics park investment.

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Section: Analysis Of Optimal Timing and Size Of A Logistics Parkmentioning

confidence: 81%

Section: (2) Effects Of the Discount Rate And The Duration Of Construmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

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Optimal Investment Timing and Size of a Logistics Park: A Real Options Perspective

Zhang

Jiang

et al. 2017

Complexity

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“…It is an important branch of service supply chain focused on the cooperation of logistics service capacities [3,4]. In the freight distribution channel, the FLSP and the LSI are urged to work efficiently and collaboratively to maintain their competitiveness [5]. Traditionally, the LSI tends to reserve enough logistics service capacity (e.g., air cargo spaces or container trucks) from the FLSP and then satisfies the market demands of customers.…”

Section: Introductionmentioning

confidence: 99%

Channel Coordination in Logistics Service Supply Chain considering Fairness

Wang

Fan

Wang

2016

Mathematical Problems in Engineering

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Logistics service supply chain (LSSC) is a new type of service supply chain. This paper investigates the channel coordination issue in a two-echelon LSSC composed of one logistics service integrator (LSI) and one functional logistics service provider (FLSP) under fairness concerns. The models for a reservation price-only contract under disadvantageous inequality and advantageous inequality are established, respectively, in which the procurement cost, the potential shortage cost, and the operation cost are considered under stochastic market demand. Based on this model, the LSI's optimal reservation quantity can be determined. Furthermore, we analyze the impact of fairness concerns and the related costs on channel performance and channel coordination. The results are presented in four aspects: (1) channel coordination of the LSSC can be achieved under certain conditions when the LSI experiences advantageous inequality; (2) the spiteful behavior of the LSI leads to the reduction of the channel profit, and channel coordination cannot be achieved when the LSI suffers from disadvantageous inequality; (3) the LSI's reservation quantity and the channel profit are affected by the LSI's fairness concerns; (4) motivated by the concerns of fairness, the LSI's reservation quantity is related not only to his procurement cost and shortage cost but also to the FLSP's operation cost.

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“…15 Soysal et al 16 presented a network model of wagonload traffic, which aimed to determine the hub location and size considering total cost and efficiency of the network system. Vieira et al 17 investigated a hub location problem from the perspective of network design, jointly considering the transportation cost and travel time, and proposed a mixed-integer programming formulation. Crainic et al 18 addressed a twotiered freight distribution system in a big city, aiming to determine the optimal locations of logistics facilities.…”

Section: Introductionmentioning

confidence: 99%

A robust optimization model for green regional logistics network design with uncertainty in future logistics demand

Zhang

Huang

et al. 2015

Advances in Mechanical Engineering

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This article proposes a new model to address the design problem of a sustainable regional logistics network with uncertainty in future logistics demand. In the proposed model, the future logistics demand is assumed to be a random variable with a given probability distribution. A set of chance constraints with regard to logistics service capacity and environmental impacts is incorporated to consider the sustainability of logistics network design. The proposed model is formulated as a two-stage robust optimization problem. The first-stage problem before the realization of future logistics demand aims to minimize a risk-averse objective by determining the optimal location and size of logistics parks with CO 2 emission taxes consideration. The second stage after the uncertain logistics demand has been determined is a scenario-based stochastic logistics service route choices equilibrium problem. A heuristic solution algorithm, which is a combination of penalty function method, genetic algorithm, and Gauss-Seidel decomposition approach, is developed to solve the proposed model. An illustrative example is given to show the application of the proposed model and solution algorithm. The findings show that total social welfare of the logistics system depends very much on the level of uncertainty in future logistics demand, capital budget for logistics parks, and confidence levels of the chance constraints.

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Freight distribution in megacities: Perspectives of shippers, logistics service providers and carriers

Cited by 56 publications

References 33 publications

Optimal Investment Timing and Size of a Logistics Park: A Real Options Perspective

Optimal Investment Timing and Size of a Logistics Park: A Real Options Perspective

Channel Coordination in Logistics Service Supply Chain considering Fairness

A robust optimization model for green regional logistics network design with uncertainty in future logistics demand

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