IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i10p2896-d233230.html
   My bibliography  Save this article

A Sustainable Transport Competitiveness Analysis of the China Railway Express in the Context of the Belt and Road Initiative

Author

Listed:
  • Shiqi Li

    (School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China)

  • Maoxiang Lang

    (School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China)

  • Xueqiao Yu

    (School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China)

  • Mingyue Zhang

    (School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China)

  • Minghe Jiang

    (Changchun No. 8 High school, Changchun 13000, China)

  • Sangbing Tsai

    (Zhongshan Institute, University of Electronic Science and Technology, Zhongshan 528400, China
    China Civil Aviation Environment and Sustainable Development Research Center, Tianjin 300300, China)

  • Cheng-Kuang Wang

    (Zhongshan Institute, University of Electronic Science and Technology, Zhongshan 528400, China)

  • Fang Bian

    (Zhongshan Institute, University of Electronic Science and Technology, Zhongshan 528400, China)

Abstract

The implementation of China’s Belt and Road Initiative macro strategy has promoted exchanges and cooperation between China and Europe and countries along the route. The operation of the China Railway Express provides a new transportation platform for China–Europe trade. The sustainable development of the China Railway Express has a great significance in terms of promoting the growth of China–Europe trade and meeting the demand for freight in Asia and Europe. Its time-saving advantage over shipping and its economic advantage over air transport cannot be ignored. This paper is based on the discrete selection model of stochastic utility theory. The paper constructs a multi-logit model based on generalized cost functions, including economics, timeliness, reliability, convenience, safety, and environmental protection. To calculate the market share of the China Railway Express and China–Europe Shipping, the paper conducts a quantitative analysis of the market competitiveness of the China Railway Express. Then, the sensitivity analysis and elastic analysis are carried out on the China Railway Express freight rate, the Chinese road freight rate, the China Railway Express service fee, the China Railway Express travelling speed, the China Railway Express sending operation time at the departure station, the China Railway Express transportation time error, the China Railway Express transportation frequency, and the China Railway Express carbon emissions per unit. Finally, based on the analysis results, suggestions for promoting the sustainable development of the China Railway Express are given.

Suggested Citation

  • Shiqi Li & Maoxiang Lang & Xueqiao Yu & Mingyue Zhang & Minghe Jiang & Sangbing Tsai & Cheng-Kuang Wang & Fang Bian, 2019. "A Sustainable Transport Competitiveness Analysis of the China Railway Express in the Context of the Belt and Road Initiative," Sustainability, MDPI, vol. 11(10), pages 1-30, May.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:10:p:2896-:d:233230
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/10/2896/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/11/10/2896/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bergantino, Angela S. & Bierlaire, Michel & Catalano, Mario & Migliore, Marco & Amoroso, Salvatore, 2013. "Taste heterogeneity and latent preferences in the choice behaviour of freight transport operators," Transport Policy, Elsevier, vol. 30(C), pages 77-91.
    2. Larranaga, Ana Margarita & Arellana, Julian & Senna, Luiz Afonso, 2017. "Encouraging intermodality: A stated preference analysis of freight mode choice in Rio Grande do Sul," Transportation Research Part A: Policy and Practice, Elsevier, vol. 102(C), pages 202-211.
    3. Qunzhen Qu & Sang-Bing Tsai & Mengxue Tang & Congjiang Xu & Weiwei Dong, 2016. "Marine Ecological Environment Management Based on Ecological Compensation Mechanisms," Sustainability, MDPI, vol. 8(12), pages 1-10, December.
    4. Yue Liu & Jun Chen & Weiguang Wu & Jiao Ye, 2019. "Typical Combined Travel Mode Choice Utility Model in Multimodal Transportation Network," Sustainability, MDPI, vol. 11(2), pages 1-15, January.
    5. Feo, María & Espino, Raquel & García, Leandro, 2011. "An stated preference analysis of Spanish freight forwarders modal choice on the south-west Europe Motorway of the Sea," Transport Policy, Elsevier, vol. 18(1), pages 60-67, January.
    6. Sang-Bing Tsai & Jie Zhou & Yang Gao & Jiangtao Wang & Guodong Li & Yuxiang Zheng & Peng Ren & Wei Xu, 2017. "Combining FMEA with DEMATEL models to solve production process problems," PLOS ONE, Public Library of Science, vol. 12(8), pages 1-15, August.
    7. Yan Han & Wanying Li & Shanshan Wei & Tiantian Zhang, 2018. "Research on Passenger’s Travel Mode Choice Behavior Waiting at Bus Station Based on SEM-Logit Integration Model," Sustainability, MDPI, vol. 10(6), pages 1-23, June.
    8. Ravibabu, M., 2013. "A nested logit model of mode choice for inland movement of export shipments: A case study of containerised export cargo from India," Research in Transportation Economics, Elsevier, vol. 38(1), pages 91-100.
    9. Jiangping Zhou & Yin Wang & Jiangyue Wu, 2018. "Mode Choice of Commuter Students in a College Town: An Exploratory Study from the United States," Sustainability, MDPI, vol. 10(9), pages 1-18, September.
    10. Wang, Xinchang & Meng, Qiang, 2017. "Discrete intermodal freight transportation network design with route choice behavior of intermodal operators," Transportation Research Part B: Methodological, Elsevier, vol. 95(C), pages 76-104.
    11. Arunotayanun, Kriangkrai & Polak, John W., 2011. "Taste heterogeneity and market segmentation in freight shippers' mode choice behaviour," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(2), pages 138-148, March.
    12. Baoshan Ge & Dake Jiang & Yang Gao & Sang-Bing Tsai, 2016. "The Influence of Legitimacy on a Proactive Green Orientation and Green Performance: A Study Based on Transitional Economy Scenarios in China," Sustainability, MDPI, vol. 8(12), pages 1-20, December.
    13. Zhao, Laijun & Zhao, Yue & Hu, Qingmi & Li, Huiyong & Stoeter, Johan, 2018. "Evaluation of consolidation center cargo capacity and loctions for China railway express," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 117(C), pages 58-81.
    14. Amir Samimi & Kazuya Kawamura & Abolfazl Mohammadian, 2011. "A behavioral analysis of freight mode choice decisions," Transportation Planning and Technology, Taylor & Francis Journals, vol. 34(8), pages 857-869, June.
    15. Tsai, Sang-Bing, 2018. "Using the DEMATEL model to explore the job satisfaction of research and development professionals in china's photovoltaic cell industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 62-68.
    16. Juying Wang & Feng Guan & Ting Li & Can Wang & Qianqian Han & Bin Yu, 2015. "Optimization of the Waterbus Operation Plan Considering Carbon Emissions: The Case of Zhoushan City," Sustainability, MDPI, vol. 7(8), pages 1-18, August.
    17. Bin Liu & Tao Li & Sang-Bing Tsai, 2017. "Low Carbon Strategy Analysis of Competing Supply Chains with Different Power Structures," Sustainability, MDPI, vol. 9(5), pages 1-21, May.
    18. Jiang, Yonglei & Sheu, Jiuh-Biing & Peng, Zixuan & Yu, Bin, 2018. "Hinterland patterns of China Railway (CR) express in China under the Belt and Road Initiative: A preliminary analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 119(C), pages 189-201.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Li, Qinglin & Rezaei, Jafar & Tavasszy, Lori & Wiegmans, Bart & Guo, Jingwei & Tang, Yinying & Peng, Qiyuan, 2020. "Customers’ preferences for freight service attributes of China Railway Express," Transportation Research Part A: Policy and Practice, Elsevier, vol. 142(C), pages 225-236.
    2. Gong, Xu & Li, Zhi-Chun, 2022. "Determination of subsidy and emission control coverage under competition and cooperation of China-Europe Railway Express and liner shipping," Transport Policy, Elsevier, vol. 125(C), pages 323-335.
    3. Lian, Feng & He, Yunzhu & Yang, Zhongzhen, 2020. "Competitiveness of the China-Europe Railway Express and liner shipping under the enforced sulfur emission control convention," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 135(C).
    4. Pařil Vilém & Viturka Milan, 2020. "Assessment of Priorities of Construction of High-Speed Rail in the Czech Republic in Terms of Impacts on Internal and External Integration," Review of Economic Perspectives, Sciendo, vol. 20(2), pages 217-241, June.
    5. Wang, Bi & Chin, Kwai Sang & Su, Qin, 2022. "Prevention and adaptation to diversified risks in the seaport–dry port system under asymmetric risk behaviors: Invest earlier or wait?," Transport Policy, Elsevier, vol. 125(C), pages 11-36.
    6. Kyoung-Suk Choi, 2021. "The Current Status and Challenges of China Railway Express (CRE) as a Key Sustainability Policy Component of the Belt and Road Initiative," Sustainability, MDPI, vol. 13(9), pages 1-18, April.
    7. Qian Luo & Guohua Fang & Jian Ye & Min Yan & Chengxuan Lu, 2020. "Country Evaluation for China’s Hydropower Investment in the Belt and Road Initiative Nations," Sustainability, MDPI, vol. 12(19), pages 1-19, October.
    8. Chen, Dongxu & Peng, Sufan & Lian, Feng & Yang, Zhongzhen, 2023. "Optimization of a Japan-Europe multimodal transportation corridor," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
    9. Jingjing Cao & Tianyi Guo & Yan Chen, 2023. "Modeling Government Subsidy Strategies for Railway Carriers: Environmental Impacts and Industry Competition," Mathematics, MDPI, vol. 11(14), pages 1-26, July.
    10. Zhou, Yaoming & Kundu, Tanmoy & Goh, Mark & Sheu, Jiuh-Biing, 2021. "Multimodal transportation network centrality analysis for Belt and Road Initiative," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
    11. Fenling Feng & Tianzuo Zhang & Chengguang Liu & Lifeng Fan, 2020. "China Railway Express Subsidy Model Based on Game Theory under “the Belt and Road” Initiative," Sustainability, MDPI, vol. 12(5), pages 1-16, March.
    12. Ziquan Liu & Yanchun Zhang, 2022. "Comprehensive Sustainable Assessment and Prioritization of Different Railway Projects Based on a Hybrid MCDM Model," Sustainability, MDPI, vol. 14(19), pages 1-24, September.
    13. Li, Xinyan & Xie, Chi & Bao, Zhaoyao, 2022. "A multimodal multicommodity network equilibrium model with service capacity and bottleneck congestion for China-Europe containerized freight flows," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    14. Pittman Russell, 2020. "On the Economics of Restructuring World Railways, with a Focus on Russia," Man and the Economy, De Gruyter, vol. 7(2), pages 1-25, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jason Z. Ma & Xiang Deng & Kung-Cheng Ho & Sang-Bing Tsai, 2018. "Regime-Switching Determinants for Spreads of Emerging Markets Sovereign Credit Default Swaps," Sustainability, MDPI, vol. 10(8), pages 1-17, August.
    2. Zhang, Rong & Zhu, Lichao, 2019. "Threshold incorporating freight choice modeling for hinterland leg transportation chain of export containers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 858-872.
    3. Zichun Yan & Kai Wang & Sang-Bing Tsai & Lili Zhou, 2018. "An Empirical Study on Internet Startup Financing From a Green Financial Perspective," Sustainability, MDPI, vol. 10(8), pages 1-16, August.
    4. Nan Li & Yu Sun & Jian Yu & Jian-Cheng Li & Hong-fei Zhang & Sangbing Tsai, 2019. "An Empirical Study on Low Emission Taxiing Path Optimization of Aircrafts on Airport Surfaces from the Perspective of Reducing Carbon Emissions," Energies, MDPI, vol. 12(9), pages 1-19, April.
    5. Xueqiao Yu & Maoxiang Lang & Yang Gao & Kai Wang & Ching-Hsia Su & Sang-Bing Tsai & Mingkun Huo & Xiao Yu & Shiqi Li, 2018. "An Empirical Study on the Design of China High-Speed Rail Express Train Operation Plan—From a Sustainable Transport Perspective," Sustainability, MDPI, vol. 10(7), pages 1-19, July.
    6. Lin Feng & Baoping Sun & Kai Wang & Sang-Bing Tsai, 2018. "An Empirical Study on the Design of Digital Content Products from a Big Data Perspective," Sustainability, MDPI, vol. 10(9), pages 1-21, August.
    7. Tao, Xuezong & Zhu, Lichao, 2020. "Meta-analysis of value of time in freight transportation: A comprehensive review based on discrete choice models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 213-233.
    8. Wenqing Wu & Kexin Yu & Saixiang Ma & Chien-Chi Chu & Shijie Li & Chengcheng Ma & Sang-Bing Tsai, 2018. "An Empirical Study on Optimal Strategies of Industry-University-Institute Green Innovation with Subsidy," Sustainability, MDPI, vol. 10(5), pages 1-17, May.
    9. Ching-Chih Chou & Chien-Wen Shen & Dapeng Gao & Yang Gao & Kai Wang & Sang-Bing Tsai, 2018. "Modelling the Dynamic Impacts of High Speed Rail Operation on Regional Public Transport—From the Perspective of Energy Economy," Energies, MDPI, vol. 11(5), pages 1-15, May.
    10. Quan Chen & Sang-Bing Tsai & Yuming Zhai & Chien-Chi Chu & Jie Zhou & Guodong Li & Yuxiang Zheng & Jiangtao Wang & Li-Chung Chang & Chao-Feng Hsu, 2018. "An Empirical Research on Bank Client Credit Assessments," Sustainability, MDPI, vol. 10(5), pages 1-17, May.
    11. Xinhua Zhu & Nan Li & Yu Sun & Hongfei Zhang & Kai Wang & Sang-Bing Tsai, 2018. "A Study on the Strategy for Departure Aircraft Pushback Control from the Perspective of Reducing Carbon Emissions," Energies, MDPI, vol. 11(9), pages 1-15, September.
    12. Vega, Amaya & Feo-Valero, Maria & Espino-Espino, Raquel, 2018. "The potential impact of Brexit on Ireland's demand for shipping services to continental Europe," Transport Policy, Elsevier, vol. 71(C), pages 1-13.
    13. Jiafu Su & Chi Li & Sang-Bing Tsai & Hui Lu & Aijun Liu & Quan Chen, 2018. "A Sustainable Closed-Loop Supply Chain Decision Mechanism in the Electronic Sector," Sustainability, MDPI, vol. 10(4), pages 1-15, April.
    14. Li, Qinglin & Rezaei, Jafar & Tavasszy, Lori & Wiegmans, Bart & Guo, Jingwei & Tang, Yinying & Peng, Qiyuan, 2020. "Customers’ preferences for freight service attributes of China Railway Express," Transportation Research Part A: Policy and Practice, Elsevier, vol. 142(C), pages 225-236.
    15. Kai Wang & Kun-Kun Xue & Jin-Hua Xu & Chien-Chi Chu & Sang-Bing Tsai & He-Jun Fan & Zhen-Yu Wang & Jiangtao Wang, 2018. "How Does a Staggered Board Provision Affect Corporate Strategic Change?—Evidence from China’s Listed Companies," Sustainability, MDPI, vol. 10(5), pages 1-13, May.
    16. Jawaher Binsuwadan & Gerard De Jong & Richard Batley & Phill Wheat, 2022. "The value of travel time savings in freight transport: a meta-analysis," Transportation, Springer, vol. 49(4), pages 1183-1209, August.
    17. Verena Maria Stockhammer & Sarah Pfoser & Karin Markvica & Jürgen Zajicek & Matthias Prandtstetter, 2021. "Behavioural Biases Distorting the Demand for Environmentally Friendly Freight Transport Modes: An Overview and Potential Measures," Sustainability, MDPI, vol. 13(21), pages 1-34, October.
    18. Jiang, Xiaodan & Fan, Houming & Luo, Meifeng & Xu, Zhenlin, 2020. "Strategic port competition in multimodal network development considering shippers’ choice," Transport Policy, Elsevier, vol. 90(C), pages 68-89.
    19. Gohari, Adel & Ahmad, Anuar Bin & Balasbaneh, Ali Tighnavard & Gohari, Ali & Hasan, Razi & Sholagberu, Abdulkadir Taofeeq, 2022. "Significance of intermodal freight modal choice criteria: MCDM-based decision support models and SP-based modal shift policies," Transport Policy, Elsevier, vol. 121(C), pages 46-60.
    20. Lei Yang & Meng Chen & Yiji Cai & Sang-Bing Tsai, 2018. "Manufacturer’s Decision as Consumers’ Low-Carbon Preference Grows," Sustainability, MDPI, vol. 10(4), pages 1-26, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:11:y:2019:i:10:p:2896-:d:233230. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.