Impact of Express Delivery Industry’s Development on Transportation Sector’s Carbon Emissions: An Empirical Analysis from China

Chang, Zhao; Zhou, Boya

doi:10.3390/su13168908

Cited by 3 publications

(5 citation statements)

References 56 publications

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“…because the lower bound of the capacity cannot be determined in this e traditional encoding scheme is straightforward, but the drawbacks are clear: (1) the number of distribution centers must be determined in advance, and (2) solution strings generated in the search process may violate the constraints. For the boundary constraints de ned in Equations ( 12) and ( 13), the abovementioned algorithms will truncate the exceeded solutions.…”

Section: Traditional Encoding Schemementioning

confidence: 99%

“…Step 1: obtain the number of distribution centers N by Equation (19) Step 2: obtain the position of N distribution centers by Equation ( 20) 0.6 × 120 72, c 1 0.7/0.7 + 0.9 × 500 218.75, and c 2 0.9/0.7 + 0.9 × 500 281.25. e sorting index of the ascending order of [0.4, 0.95, 0.25, 0.55, 0.6] is [1][2][3][4][5].…”

Section: Constraint-solved Encoding Schemementioning

confidence: 99%

“…Since 2014, the express delivery volume in China has ranked rst in the world for six consecutive years [1]. Statistics show 107.7 billion pieces of delivery in China in 2021, with a 31% growth compared with 2020 [2].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Comparative Study of Swarm‐Based Algorithms for Location‐Allocation Optimization of Express Depots

Zhang

Xiao

XueYing

et al. 2022

Discrete Dynamics in Nature and Society

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The location and capacity of express distribution centers and delivery point allocation are mixed-integer programming problems modeled as capacitated location and allocation problems (CLAPs), which may be constrained by the position and capacity of distribution centers and the assignment of delivery points. The solution representation significantly impacts the search efficiency when applying swarm-based algorithms to CLAPs. In a traditional encoding scheme, the solution is the direct representation of position, capacity, and assignment of the plan and the constraints are handled by punishment terms. However, the solutions that cannot satisfy the constraints are evaluated during the search process, which reduces the search efficiency. A general encoding scheme that uses a vector of uniform range elements is proposed to eliminate the effect of constraints. In this encoding scheme, the number of distribution centers is dynamically determined during the search process, and the capacity of distribution centers and the allocation of delivery points are determined by the random proportion and random key of the elements in the encoded solution vector. The proposed encoding scheme is verified on particle swarm optimization, differential evolution, artificial bee colony, and powerful differential evolution variant, and the performances are compared to those of the traditional encoding scheme. Numerical examples with up to 50 delivery points show that the proposed encoding scheme boosts the performance of all algorithms without altering any operator of the algorithm.

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Section: Traditional Encoding Schemementioning

confidence: 99%

Section: Constraint-solved Encoding Schemementioning

confidence: 99%

See 1 more Smart Citation

Comparative Study of Swarm‐Based Algorithms for Location‐Allocation Optimization of Express Depots

Zhang

Xiao

XueYing

et al. 2022

Discrete Dynamics in Nature and Society

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“…Existing studies have explored the macro-level influencing factors of TCO 2 characteristics, including economic development level, population size, transportation energy intensity, transportation energy structure, transportation intensity, and industrial structure [5,[24][25][26]. Additionally, studies have examined the impacts of transportation infrastructure development, such as urbanization rate, fixed asset investment in the transportation industry [27,28], length of road network [29][30][31], level of public transportation development [32,33], per capita private car ownership, passenger and freight turnover [34,35], average transportation distance [36], logistics scale, and express delivery industry development [37,38]. Furthermore, the impacts of transportation technology level and new energy industry planning have been investigated, such as R&D investment [39,40], level of digital innovation [41], and new energy vehicle industry [42], etc.…”

Section: Introductionmentioning

confidence: 99%

An Inquiry into the Characteristics of Carbon Emissions in Inter-Provincial Transportation in China: Aiming to Typological Strategies for Carbon Reduction in Regional Transportation

Yang,

Yan

2023

Land

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The low-carbon development of the transportation sector is crucial for China to achieve its national goals of carbon peaking and carbon neutrality. Since China is a vast country with unbalanced regional development, there are considerable differences in the levels of carbon dioxide emissions from the transportation sector across regions. Therefore, revealing the influencing factors that shape the characteristics of transportation carbon dioxide emissions (TCO2) can inform tailored sub-national carbon reduction strategies based on local conditions, which is an important technical approach for achieving national goals. Based on an extended Kaya identity, we derived indicators of the impacts on provincial TCO2 from factors such as economic development, population density, energy structure, transportation efficiency, technology research and development (R&D), infrastructure construction, transportation operation conditions, and residents’ transportation behavior. Using a multi-indicator joint characterization method, we explored the characteristics of provincial TCO2 in China in 2019. By applying Ward’s method to hierarchical clustering, the thirty provinces of China were classified into six characteristic types (Types I to VI). Based on the total TCO2 (TC), the intensity of TCO2 (TI), and the per capita TCO2 (TP) calculated for each province in 2019, the priority control directions and indicators for carbon reduction in each type were obtained through relative relationships with provincial averages and correlation analysis with the indicators. Specifically, Type I and Type IV can be categorized as TP-controlled, Type II and Type III as TC-controlled, and Type V and Type VI as TI-controlled. Finally, we provided typological strategies and key performance indicators (KPIs) relevant to local governments to better achieve carbon reduction goals in each provincial type. It can promote cooperative development and collaborative governance in carbon reduction across regions and the unified implementation of China’s dual-carbon goals.

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“…Additionally, characterized by high pollution level, carbon emissions from the transportation industry have gradually become a hot topic of greenhouse gas emissions in China. Judging from the current trend, carbon emission factors are an important factor in transportation system planning (Liu et al, 2021;Zhao and Zhou, 2021), so it is necessary to take the carbon emission factor into consideration (Li and Luo, 2022;Xiao et al, 2023b).…”

Section: Introductionmentioning

confidence: 99%

Research on accessibility of port collection and distribution system from the perspective of carbon emissions

Wang,

Song,

et al. 2023

Front. Mar. Sci.

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Port accessibility is an important factor in the efficiency of a port collection and distribution systems. And the carbon emission of the collection and transportation system is large, which is an important factor that cannot be ignored when constructing the collection and transportation system. In order to analyze the carbon emission characteristics of the port collection and distribution system, the paper incorporates the carbon emission factor into the accessibility measurement of the port collection and distribution system. To solve the problem of unbalanced demand of each logistics node, the distribution of logistics demand in the system is realized by the method based on the appropriate freight volume. The carbon emission cost factor is introduced, and the accessibility measurement model based on the generalized cost impedance function is constructed. Taking the collection and distribution system of Douala Port in West Africa as an example to verify, the results show that, after adding the carbon emission factor, the accessibility of each logistics node shows different degrees of decline which shows that the addition of the carbon emission factor can be more comprehensive and can reflect the accessibility of the system.

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Impact of Express Delivery Industry’s Development on Transportation Sector’s Carbon Emissions: An Empirical Analysis from China

Cited by 3 publications

References 56 publications

Comparative Study of Swarm‐Based Algorithms for Location‐Allocation Optimization of Express Depots

Comparative Study of Swarm‐Based Algorithms for Location‐Allocation Optimization of Express Depots

An Inquiry into the Characteristics of Carbon Emissions in Inter-Provincial Transportation in China: Aiming to Typological Strategies for Carbon Reduction in Regional Transportation

Research on accessibility of port collection and distribution system from the perspective of carbon emissions

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