IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i24p17057-d1008457.html
   My bibliography  Save this article

Evaluation of Social Stability Risk of Adjusting Goods Vehicle Calculation Method Based on Optimal Combination Weighting—Cloud Model

Author

Listed:
  • Pengyun Chong

    (Yunnan Science Research Institute of Communication & Transportation Co., Ltd., Kunming 650011, China)

  • Hui Yin

    (Power China Kunming Engineering Corporation Limited, Kunming 650051, China)

  • Chaofeng Wang

    (Airport College, Civil Aviation Flight University of China, Guanghan 618307, China)

  • Pengcheng Wang

    (Airport College, Civil Aviation Flight University of China, Guanghan 618307, China)

  • Linqing Li

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

  • Di Wu

    (Committee of Communist Youth League of China, Xi’an International Studies University, Xi’an 710128, China)

  • Jingwei Li

    (Yunnan Science Research Institute of Communication & Transportation Co., Ltd., Kunming 650011, China)

  • Dong Ding

    (School of Economics and Management, Chongqing University of Posts and Telecommunications, Chongqing 400065, China)

Abstract

In order to solve the social stability risk problem of the adjusting goods vehicle calculation method (AGVCM) in the cancellation of toll stations at expressway provincial boundaries, a social stability risk evaluation model was proposed. Firstly, based on the possible time stages of the AGVCM, we built the social stability risk evaluation index system of the AGVCM including 4 levels, 3 grades, and 60 indicators. Secondly, we used the semantic information of cloud model to transform qualitative description and quantitative evaluation, calculated the risk level for social stability risk evaluation of AGVCM according to an integrated cloud algorithm, and proposed an optimal combination weighting—cloud model for the social stability risk evaluation of AGVCM. Finally, the feasibility of the evaluation model is verified by a case study in Yunnan province in China. The results showed that the cloud model’s numerical characteristic of social stability risk evaluation of AGVCM in Yunnan based on the optimal combination weighting—cloud model is (0.28, 0.073, 0.0008), implying the risk level is “small” and the conclusion is basically consistent with current standards. The model contains rich process information, which is helpful to better effectively eliminate the subjectivity and arbitrariness in the evaluation process of identifying the key factors affecting the project risk level.

Suggested Citation

  • Pengyun Chong & Hui Yin & Chaofeng Wang & Pengcheng Wang & Linqing Li & Di Wu & Jingwei Li & Dong Ding, 2022. "Evaluation of Social Stability Risk of Adjusting Goods Vehicle Calculation Method Based on Optimal Combination Weighting—Cloud Model," Sustainability, MDPI, vol. 14(24), pages 1-14, December.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:24:p:17057-:d:1008457
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/24/17057/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/24/17057/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Robert Holzmann & Steen Jørgensen, 2001. "Social Risk Management: A New Conceptual Framework for Social Protection, and Beyond," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 8(4), pages 529-556, August.
    2. Daron Acemoglu & Asuman Ozdaglar & Alireza Tahbaz-Salehi, 2015. "Systemic Risk and Stability in Financial Networks," American Economic Review, American Economic Association, vol. 105(2), pages 564-608, February.
    3. Xuan-hua Xu & Chun-hong Wang & Chen-guang Cai & Min Xue, 2015. "Evolution and coping research for flood disaster social stability risk based on the complex network," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 77(3), pages 1491-1500, July.
    4. Thomas L. Saaty, 2013. "The Modern Science of Multicriteria Decision Making and Its Practical Applications: The AHP/ANP Approach," Operations Research, INFORMS, vol. 61(5), pages 1101-1118, October.
    5. Terje Aven & Ortwin Renn, 2009. "On risk defined as an event where the outcome is uncertain," Journal of Risk Research, Taylor & Francis Journals, vol. 12(1), pages 1-11, January.
    Full references (including those not matched with items on IDEAS)

    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. Junxia Miao & Dechun Huang & Zhengqi He, 2019. "Social Risk Assessment and Management for Major Construction Projects in China Based on Fuzzy Integrated Analysis," Complexity, Hindawi, vol. 2019, pages 1-17, November.
    2. Cem Iskender Aydin & Begum Ozkaynak & Beatriz Rodríguez-Labajos & Taylan Yenilmez, 2017. "Network effects in environmental justice struggles: An investigation of conflicts between mining companies and civil society organizations from a network perspective," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-20, July.
    3. Shi, Huai-Long & Zhou, Wei-Xing, 2022. "Factor volatility spillover and its implications on factor premia," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    4. Green, Christopher & Bai, Ye & Murinde, Victor & Ngoka, Kethi & Maana, Isaya & Tiriongo, Samuel, 2016. "Overnight interbank markets and the determination of the interbank rate: A selective survey," International Review of Financial Analysis, Elsevier, vol. 44(C), pages 149-161.
    5. Thomas Eichner & Andreas Wagener, 2002. "Increases in Risk and the Welfare State," CESifo Working Paper Series 685, CESifo.
    6. Peydró, José-Luis & Jiménez, Gabriel & Kenan, Huremovic & Moral-Benito, Enrique & Vega-Redondo, Fernando, 2020. "Production and financial networks in interplay: Crisis evidence from supplier-customer and credit registers," CEPR Discussion Papers 15277, C.E.P.R. Discussion Papers.
    7. Tapio Riepponen & Mikko Moilanen & Jaakko Simonen, 2023. "Themes of resilience in the economics literature: A topic modeling approach," Regional Science Policy & Practice, Wiley Blackwell, vol. 15(2), pages 326-356, April.
    8. Wu, Tao & Gao, Xiangyun & An, Sufang & Liu, Siyao, 2021. "Time-varying pattern causality inference in global stock markets," International Review of Financial Analysis, Elsevier, vol. 77(C).
    9. van de Leur, Michiel C.W. & Lucas, André & Seeger, Norman J., 2017. "Network, market, and book-based systemic risk rankings," Journal of Banking & Finance, Elsevier, vol. 78(C), pages 84-90.
    10. Isaac B. Oluwatayo, 2004. "Income Risk and Welfare Status of Rural Households in Nigeria: Ekiti State as a Test Case," WIDER Working Paper Series RP2004-61, World Institute for Development Economic Research (UNU-WIDER).
    11. Raghbendra Jha & Tu Dang, 2010. "Vulnerability to Poverty in Papua New Guinea in 1996," Asian Economic Journal, East Asian Economic Association, vol. 24(3), pages 235-251, September.
    12. Alday, Sandra Seno, 2022. "Regional integration and the regional risk paradox," European Management Journal, Elsevier, vol. 40(5), pages 793-808.
    13. Spelta, A. & Pecora, N. & Rovira Kaltwasser, P., 2019. "Identifying Systemically Important Banks: A temporal approach for macroprudential policies," Journal of Policy Modeling, Elsevier, vol. 41(1), pages 197-218.
    14. Thanh Quang Nguyen & Sonia Longo & Maurizio Cellura & Le Quyen Luu & Alessandra Bertoli & Letizia Bua, 2024. "Evaluating and Prioritizing Circular Supply Chain Alternatives in the Energy Context with a Holistic Multi-Indicator Decision Support System," Energies, MDPI, vol. 17(20), pages 1-32, October.
    15. Gabrielle Demange, 2018. "Contagion in Financial Networks: A Threat Index," Management Science, INFORMS, vol. 64(2), pages 955-970, February.
    16. Mikkel Hermansen & Oliver Röhn, 2017. "Economic resilience: The usefulness of early warning indicators in OECD countries," OECD Journal: Economic Studies, OECD Publishing, vol. 2016(1), pages 9-35.
    17. Paulo Ferreira & Éder J.A.L. Pereira & Hernane B.B. Pereira, 2020. "From Big Data to Econophysics and Its Use to Explain Complex Phenomena," JRFM, MDPI, vol. 13(7), pages 1-10, July.
    18. Dengsheng Wu & Xiaoqian Zhu & Jie Wan & Chunbing Bao & Jianping Li, 2019. "A Multiobjective Optimization Approach for Selecting Risk Response Strategies of Software Project: From the Perspective of Risk Correlations," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(01), pages 339-364, January.
    19. Li, Fei & Kang, Hao & Xu, Jingfeng, 2022. "Financial stability and network complexity: A random matrix approach," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 177-185.
    20. Aven, Terje, 2010. "Some reflections on uncertainty analysis and management," Reliability Engineering and System Safety, Elsevier, vol. 95(3), pages 195-201.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:14:y:2022:i:24:p:17057-:d:1008457. 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.