The impact of path selection on GHG emissions in city logistics

Behnke, Martin; Kirschstein, Thomas

doi:10.1016/j.tre.2017.08.011

Cited by 69 publications

(30 citation statements)

References 31 publications

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“…Regarding the logistics industry, although there have been numerous studies focusing on its carbon emissions (Tian et al, 2018;Behnke and Kirschstein, 2017;Li and Tang, 2018), the research on its carbon emissions efficiency or performance is rare (Zhang et al, 2015). Moreover, from the perspective of spatial scale, carbon emissions performance has typically been analysed at the national or provincial level (Wu et al, 2018;Lin and Du, 2015;Zhou et al, 2014;Zhou and Wang, 2012), whereas research at the city level is insufficient (Li et al, 2018;Mariano et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Carbon emissions performance in logistics at the city level

Yang

Tang

et al. 2019

Journal of Cleaner Production

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Section: Introductionmentioning

confidence: 99%

Carbon emissions performance in logistics at the city level

Yang

Tang

et al. 2019

Journal of Cleaner Production

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“…Each fitness function can be divided into three parts: The first part is the objective function: total distance T _ D in Equation (22); total GHG emissions T _ E in Equation (23); total costs T _ C in Equation (24).…”

Section: Fitness Functionmentioning

confidence: 99%

“…GHG is the emission from fossil fuel consumption in the process of waste collection and transportation [ 12 ] and usually the environmental effect of GHG emissions is approximated by

equivalents (

). Furthermore, GHG emissions show an approximately linear relation to the fuel consumption of a vehicle [ 22 ], we estimate GHG emissions based on fuel consumption and express its effect in terms of

during waste collection and transportation activities.…”

Section: Model Formulationmentioning

confidence: 99%

“…Lastly, it is worthy of mention that the growth of waste is closely related to environmental deterioration [7], which is because that the activity of waste collection and transportation consumes a lot of fuel resulting in GHG emissions [7,[21][22][23].Therefore, taking into account its effect on the environment, sustainable management of waste collection and transportation with the objective of minimizing GHG emissions is indispensable both for resource savings and environmental conservation [24].…”

Section: Introductionmentioning

confidence: 99%

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Optimization of Vehicle Routing for Waste Collection and Transportation

Tao

Yang

2020

IJERPH

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For the sake of solving the optimization problem of urban waste collection and transportation in China, a priority considered green vehicle routing problem (PCGVRP) model in a waste management system is constructed in this paper, and specific algorithms are designed to solve the model. We pay particular concern to the possibility of immediate waste collection services for high-priority waste bins, e.g., those containing hospital or medical waste, because the harmful waste needs to be collected immediately. Otherwise, these may cause dangerous or negative effects. From the perspective of environmental protection, the proposed PCGVRP model considers both greenhouse gas (GHG) emission costs and conventional waste management costs. Waste filling level (WFL) is considered with the deployment of sensors on waste bins to realize dynamic routes instead of fixed routes, so that the economy and efficiency of waste collection and transportation can be improved. The optimal solution is obtained by a local search hybrid algorithm (LSHA), that is, the initial optimal solution is obtained by particle swarm optimization (PSO) and then a local search is performed on the initial optimal solution, which will be optimized by a simulated annealing (SA) algorithm by virtue of the global search capability. Several instances are selected from the database of capacitated vehicle routing problem (CVRP) so as to test and verify the effectiveness of the proposed LSHA algorithm. In addition, to obtain credible results and conclusions, a case using data about waste collection and transportation is employed to verify the PCGVRP model, and the effectiveness and practicability of the model was tested by setting a series of values of bins’ number with high priority and WFLs. The results show that (1) the proposed model can achieve a 42.3% reduction of negative effect compared with the traditional one; (2) a certain value of WFL between 60% and 80% can realize high efficiency of the waste collection and transportation; and (3) the best specific value of WFL is determined by the number of waste bins with high priority. Finally, some constructive propositions are put forward for the Environmental Protection Administration and waste management institutions based on these conclusions.

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“…With the purpose of reducing pollutant emissions, Behnke and Kirschstein et al [62] formulated a vehicle routing problem to minimize emission and improve the effects of path selection in UTNDP. In reality, multiple paths consideration in urban network design is able to decrease a large number of emissions.…”

Section: Decision Objectivementioning

confidence: 99%