A time-space network-based model for transportation service optimization of China Railway Express

Weichuan Yin , Wenhu Hu , Xueting Yan , Bo Peng , Xiaoling Yang

High-speed Railway ›› 2024, Vol. 2 ›› Issue (3) : 153 -163.

PDF (1400KB)
High-speed Railway ›› 2024, Vol. 2 ›› Issue (3) : 153 -163. DOI: 10.1016/j.hspr.2024.08.005
Research article
review-article

A time-space network-based model for transportation service optimization of China Railway Express

Author information +
History +
PDF (1400KB)

Abstract

This paper describes the development and optimization plans for the China Railway Express (CR Express). As a new type of international land transport organization, CR Express has emerged with the continuous expansion of China toward European investment and trade, and in particular, has expanded with the continuous progress of the One Belt and One Road (OBOR) initiative. In addition to improving the service quality of CR Express, the operating costs must be reduced for developing “smart railways” that serve “smart cities”. We propose a dual-objective-based function mathematical optimization model; the satisfaction of the cargo owner is considered, and the timeliness, transportation capacity, and goods category constraints of CR Express transportation are designed. Moreover, we present the normalized equivalent method of the two-objective function of the model. Finally, a case study is conducted against the background of certain trains in the western corridor of CR Express to validate the effectiveness of the model and research methods proposed in this study.

Keywords

One Belt and One Road / China Railway Express / Transportation service / Mathematical optimization / Time-space network

Highlight

Cite this article

Download citation ▾
Weichuan Yin, Wenhu Hu, Xueting Yan, Bo Peng, Xiaoling Yang. A time-space network-based model for transportation service optimization of China Railway Express. High-speed Railway, 2024, 2(3): 153-163 DOI:10.1016/j.hspr.2024.08.005

登录浏览全文

4963

注册一个新账户 忘记密码

Declaration of Competing Interest

The authors declare the following financial interests/personal relationships which may be considered as potential competing interests. Weichuan Yin reports financial support was provided by Beijing Union University. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgments

This study was supported by the National Natural Science Foundation of China (Grant No. 62102032), the R&D Program of Beijing Municipal Education Commission (Grant No. KM202211417010).

References

[1]

Q. Huang, W. Yin, J. An, et al., A China railway express-based model for designing a cross-border logistics information cloud platform scheme. Appl. Sci. Basel, 10 (2020), pp. 4110-4125.

[2]

Belt and Road Portal. Available online: (2023).

[3]

J. Wang, J. Jiao, L. Ma. An organizational model and border port hinterlands for the China-Europe Railway Express. J. Geogr. Sci., 28 (2018), pp. 1275-1287.

[4]

L.U. Mengqiu, Y. Chen, L.U. Yuqi. The competition and cooperation spatial pattern between railway transport and shipping in China under the Belt and Road Initiative. Geogr. Res. (2018).

[5]

Y. Jiang, J.B. Sheu, Z. Peng, et al., Hinterland patterns of China Railway (CR) express in China under the Belt and Road Initiative: a preliminary analysis. Transp. Res., 119 (2018), pp. 189-201.

[6]

Y. Qi, S. Harrod, H.N. Psaraftis, et al., Transport service selection and routing with carbon emissions and inventory costs consideration in the context of the Belt and Road Initiative. Transp. Res. E, 159 (2022).

[7]

F. Xue, X. Ma, Z. Hu, Building a railway logistics center based on freight stations and marshalling yards, International Conference of Logistics Engineering & Management, (2014).

[8]

L. Zhao, Y. Zhao, Q. Hu, et al., Evaluation of consolidation center cargo capacity and locations for China railway express. Transp. Res. E, 117 (2018), pp. 58-81.

[9]

W. Sun, L. Zhao, C. Wang, et al., Selection of consolidation centres for China Railway Express. Int. J. Logist. Res. Appl., 23 (2020), pp. 417-442.

[10]

Z. Zhang, U. Demšar, J. Rantala, et al., A fuzzy multiple-attribute decision-making modelling for vulnerability analysis on the basis of population information for disaster management. Int. J. Geogr. Inf. Sci., 28 (2014), pp. 1922-1939.

[11]

D. Muravev, H. Hu, H. Zhou, et al., Location optimization of CR express international logistics centers. Symmetry, 12 (2020), p. 143.

[12]

X. Liu. China-Europe freight train promotes bilateral trade. Chinas Foreign Trade, 06 (2016), pp. 36-37.

[13]

A.M. Newman, C.A. Yano. Centralized and decentralized train scheduling for intermodal operations. IIE Trans., 32 (2000), pp. 743-754.

[14]

D. Anghinolfi, M. Paolucci, S. Sacone, et al., Integer programming and ant colony optimization for planning intermodal freight transportation operations, IEEE Conference on Automation Science and Engineering, Trieste, (2011) 214–219.

[15]

F. Duan, Q. Ji, B. Liu, et al., Energy investment risk assessment for nations along China’s Belt & Road Initiative. J. Clean. Prod. (2018), pp. 535-547.

[16]

S. Li, M. Lang, X. Yu, et al., A sustainable transport competitiveness analysis of the China railway Express in the context of the Belt and road initiative. Sustainability, 11 (2019), p. 2896.

[17]

J. Sheu, T. Kundu. Forecasting time-varying logistics distribution flows in the One Belt-One Road strategic context. Transp. Res. E, 117 (2017), pp. 5-22.

[18]

T. W. Lee, Q. Zhang, K. Suthiwartnarueput, et al., Research trends in belt and road initiative studies on logistics, supply chains, and transportation sector. Int. J. Eng. Res. Appl. (2020), pp. 525-543.

[19]

K. Choi. The current status and challenges of China Railway Express (CRE) as a key sustainability policy component of the belt and road initiative. Sustainability, 13(9)(2021), p. 5017.

[20]

N. Wang, Y. Gao, J. He, et al., Robustness evaluation of the air cargo network considering node importance and attack cost. Reliab. Eng. Syst. Saf., 217 (2022).

[21]

L. Xing, H. Yan, Y. Yin, et al., Research on the optimization of empty container repositioning of China railway express in cooperation with international liner companies. Sustainability, 13 (2021), p. 3182.

[22]

S. Guo, C. Diao, G. Li, et al., The two-echelon dual-channel models for the intermodal container terminals of the China Railway express considering container accumulation modes. Sustainability, 13 (2021), p. 2806.

[23]

Z. Zhang, D. Zhang, L. Tavasszy, et al., Multicriteria intermodal freight network optimal problem with heterogeneous preferences under belt and road initiative. Sustainability, 12(24)(2020), p. 10265.

[24]

F. Feng, T. Zhang, C. Liu, et al., China Railway express subsidy model based on game theory under “the Belt and Road” Initiative. Sustainability, 12(5)(2020), pp. 2083.

[25]

W. Liu, X. Zhu, L. Wang. Distribution organization optimization for inbound China Railway express at Alataw Pass Railway Station. Sustainability, 11(24)(2019), p. 6914.

[26]

W. Yin, S. He, H. Li, et al., Organization mode of cargo express train in railway hub on the condition of real goods business. J. Beijing Jiaotong Univ., 39 (2015), pp. 17-23.

[27]

W. Yin, Y. Zhang. Identification method for optimal urban bus corridor location. Sustainability, 12 (2020), pp. 7167-7188.

[28]

IBM. CPLEX optimizer for z/OS. IBM ILOG CPLEX optimizer. IBM Corporation (2013).

[29]

M. Shakibayifar, E. Hassannayebi, H. Mirzahossein, et al., An integrated train scheduling and infrastructure development model in railway networks. Sci. Iran., 24(6)(2017), pp. 3409-3422.

[30]

H. Mirzahossein, M. Sedghi, H. Motevalli Habibi, et al., Site selection methodology for emergency centers in silk road based on compatibility with Asian Highway network using the AHP and ArcGIS (case study: I. R. Iran). Innov. Infrastruct. Solut., 5 (2020), p. 113.

AI Summary AI Mindmap
PDF (1400KB)

116

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/