A structured maturity model for evaluating smart logistics parks transformation: Case study in western China
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Abstract
The transformation of traditional into smart logistics parks (SLPs) requires a structured framework for assessing maturity and guiding development. Existing maturity models, often adapted from smart city or industrial park frameworks, lack specificity and empirical validation for the logistics park context. To address this gap, this study constructs and validates a data-driven maturity model for SLPs by integrating a literature review, expert consultation, and case studies of two logistics parks in western China. The model comprises five dimensions—Smart Economy, Public Services and Smart Governance, Infrastructure and Intelligent Technology Application, Skilled Human Capital, and Environmental Sustainability—and defines 20 measurable factors. These factors are evaluated through a four-level maturity framework progressing from Initial to Optimization stages, corresponding to the conventional levels of Initial, Defined, Managed, and Leading. The application revealed that both parks were positioned between the Initial and Growth stages. Logistics Park 2 excelled in digital infrastructure and technology adoption, as well as workforce digital literacy, whereas Logistics Park 1 enjoyed advantages in operational ROI and stakeholder integration. While for both parks, Public Services and Smart Governance reached the Growth stage, Smart Economy and Environmental Sustainability lagged, reflecting reliance on volume-based growth and underdeveloped sustainability outcomes. The model differentiated between transitional and emerging SLPs, proving its value as a diagnostic and strategic tool. One limitation, however, is the model's initial validation within the two case studies in western China, and future research should expand the application to diverse contexts to enhance generalizability and robustness.
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
References
Feng B, Ye Q. Operations management of smart logistics: a literature review and future research. Front Eng Manag. 2021;8(3):344-55. DOI: https://doi.org/10.1007/s42524-021-0156-2
Hsu CH, Cai XQ, Zhang TY, Ji YL. Smart logistics facing Industry 5.0: research on key enablers and strategic roadmap. sustainability. 2024;16(21):9183. DOI: https://doi.org/10.3390/su16219183
Elhusseiny HM, Crispim J. A review of Industry 4.0 maturity models: adoption of SMEs in the manufacturing and logistics sectors. Procedia Comput Sci. 2023;219:236-43. DOI: https://doi.org/10.1016/j.procs.2023.01.286
Li J, Qin R, Olaverri-Monreal C, Prodan R, Wang FY. Logistics 5.0: from intelligent networks to sustainable ecosystems. IEEE Trans Intell Veh. 2023;8(7):3771-74. Retraction in: Li J, Qin R, Olaverri-Monreal C, Prodan R, Wang FY. IEEE Trans Intell Veh. 2025:1. DOI: https://doi.org/10.1109/TIV.2023.3295796
Sarker D, Klungseth NJ. Successful digital transformation: observations on digital maturity, technology and logistics in multiple industries. In: Bach Tobji MA, Jallouli R, Sadok H, Lajfari K, Mafamane D, Mahboub H, editors. 9th International Conference on Digital Economy; 2024 May 9-11; Rabat, Morocco. Cham: Springer; 2024. p. 36-55. DOI: https://doi.org/10.1007/978-3-031-76365-6_3
Romano GC, Taube M. Knowledge and policy transfers along the BRI: The case of Duisburg. In: Porto de Oliveira O, Romano GC, editors. Brazil and China in knowledge and policy transfer: agents, objects, time, structures and power. Cham: Springer; 2022. p. 271-303.
Ferro-Escobar R, Vacca-González H, Gómez-Castillo H. Smart and sustainable cities in collaboration with IoT: the Singapore success case. In: Marques G, González-Briones A, Molina López JM, editors. Machine learning for smart environments/cities: an IoT approach. Cham: Springer; 2022. p. 213-43. DOI: https://doi.org/10.1007/978-3-030-97516-6_12
Andiyappillai N. An analysis of the impact of automation on supply chain performance in logistics companies. International Virtual Conference on Robotics, Automation, Intelligent Systems and Energy (IVC RAISE 2020); 2020 Dec 15; Erode, India. UK: IOP Science; 2020. p. 1-15.
China federation of logistics and purchasing. The sixth national logistics parks (bases) survey report. Beijing: China Federation of Logistics and Purchasing. 2022. (In Chinese)
Gbahabo PTA, Foluso, Afful-Mensah G. Trade facilitation in Africa: a review of concepts and empirical facts. In: Ocran MK, Abor JY, editors. The palgrave handbook of international trade and development in Africa. Cham: Springer; 2024. p. 463-90.
Hellweg F, Dustin J, Hellingrath B. Towards a maturity model for digital supply chains. Logist Res. 2023;16:5.
Kocaoglu B. Digital transformation in logistics. In: Kocaoglu B, editor. Logistics information systems. Cham: Springer; 2024. p. 1-35. DOI: https://doi.org/10.1007/978-3-031-60290-0_1
Ghazinoory S, Roshandel J, Parvin F, Nasri S, Fatemi M. Smart city maturity models: a multidimensional synthesized approach. WIREs Data Min Knowl Discov. 2024;14(1):e1516. DOI: https://doi.org/10.1002/widm.1516
Liu W, Wei S, Liang Y, Wang D, Wang J. Influencing factors on organizational efficiency of smart logistics ecological chain: a multi-case study in China. Ind Manag Data Syst. 2021;121(3):545-66. DOI: https://doi.org/10.1108/IMDS-06-2020-0371
Smajli E, Feldman G, Cox S. Exploring the limitations of business process maturity models: a systematic literature review. Inf Syst Manage. 2024;42(1):2-21. DOI: https://doi.org/10.1080/10580530.2024.2332210
Ferraro S, Leoni L, Cantini A, Carlo FD. Trends and recommendations for enhancing maturity models in supply chain management and logistics. Appl Sci. 2023;13(17):9724. DOI: https://doi.org/10.3390/app13179724
Fang J, He C, Zhu S. From death to birth: do logistics parks help local renewals in logistics industry? Transp Policy. 2024;158(C):148-58. DOI: https://doi.org/10.1016/j.tranpol.2024.09.009
Zhang J, Zhang J, Yang L, Li A, Zong Y. Design system of integrated management platform for smart park and project case. Electron J Struc. Eng. 2023;23(2):15-20.
Lai CMT, Cole A. Measuring progress of smart cities: indexing the smart city indices. Urban Gov. 2023;3(1):45-57. DOI: https://doi.org/10.1016/j.ugj.2022.11.004
Brunetti M, Mes M, Lalla-Ruiz E. Smart logistics nodes: concept and classification. Int J Logist Res Appl. 2024;27(11):1984-2020. DOI: https://doi.org/10.1080/13675567.2024.2327394
Guan S. Smart E-commerce logistics construction model based on big data analytics. J Intell Fuzzy Syst. 2021;40(2):3015-23. DOI: https://doi.org/10.3233/JIFS-189340
Gao Q, Liu X, Chang J. Analysis of factors for high-quality development of intelligent logistics parks under the internet of things. Int J Multiphys. 2024;18(3):98-109.
Wang A, Yang Y, Sun S, Zuo Y, Wang Z, Sun H. Developing an evaluation model to measure the intelligence level of smart industrial parks. Buildings. 2022;12(10):1533. DOI: https://doi.org/10.3390/buildings12101533
Hein-Pensel F, Winkler H, Brückner A, Wölke M, Jabs I, Mayan IJ, et al. Maturity assessment for Industry 5.0: a review of existing maturity models. J Manuf Syst. 2023;66:200-10. DOI: https://doi.org/10.1016/j.jmsy.2022.12.009
Ouazzani-Chahidi A, Abdellatif L, Jimenez JF, Berrah L. Maturity levels of management process for improving industrial performance. Sci Afr. 2023;21:e01852.
Cugurullo F. Urban artificial intelligence: from automation to autonomy in the smart city. Front Sustainable Cities. 2020;2:38. DOI: https://doi.org/10.3389/frsc.2020.00038
International Organization for Standardization. ISO 37106:2021, Sustainable cities and communities — guidance on establishing smart city operating models for sustainable communities. 2nd ed. Geneva: International Organization for Standardization; 2021.
National Information Technology Standardization Technical Committee. China's national standard Smart City—Maturity Model. Beijing: Standards Press of China; 2021.(In Chinese)
Prospective Industry Research Institute. White Paper on the Development of China's Smart Parks (2022) [Internet]. 2022 [cited 2023 May 22]. Available from: https://bg.qianzhan.com/report/detail/2211161636457168.html. (In Chinese)
Aljowder T, Ali M, Kurnia S. Development of a maturity model for assessing smart cities: a focus area maturity model. Smart Cities. 2023;6(4):2150-75. DOI: https://doi.org/10.3390/smartcities6040099
Weerabahu WMSK, Samaranayake P, Nakandala D, Hurriyet H. Digital supply chain research trends: a systematic review and a maturity model for adoption. Benchmarking. 2023;30(9):3040-66. DOI: https://doi.org/10.1108/BIJ-12-2021-0782
Chang J, Zhang Z, Liu Y. Research on life cycle quality evaluation of urban and rural distribution intelligent logistics park development. J Electr Sys. 2024;20(2):985-92. DOI: https://doi.org/10.52783/jes.1265
Zhang A, Li S, Tan L, Sun Y, Yao F. Intelligent measurement and monitoring of carbon emissions for 5G shared smart logistics. J Sens. 2022;2022(1):8223590. DOI: https://doi.org/10.1155/2022/8223590
Zhu X, Liu N, Shi Y. Artificial intelligence technology in modern logistics system. Int J Technol Policy Manage. 2022;22(1-2):66-81. DOI: https://doi.org/10.1504/IJTPM.2022.122537
Kryś PP, Izdebski W. The maturity model of logistic centres. Syst Logist Wojsk. 2022;56(1):161-74. DOI: https://doi.org/10.37055/slw/155073
Huang H, Watanabe WC. A comparative analysis of smart and traditional logistics parks: a maturity model perspective. Int J Math Eng Manag Sci. 2026;11(1):41-63. DOI: https://doi.org/10.33889/IJMEMS.2026.11.1.003
Guangxi Big Data Research Institute. Guide to the construction of smart parks in Guangxi Zhuang Autonomous Region (2022) [Internet]. 2022 [cited 2023 July 22]. Available from: http://gxxxzx.gxzf.gov.cn/jczxfw/P020220302587552731465.pdf. (In Chinese)
Pereira GRB, de Almeida Guimarães LG, Cimon Y, Da Silva Barreto LK, Nodari CH. Conceptual model for assessing logistics maturity in smart city dimensions. Adm Sci. 2023;13(4):114. DOI: https://doi.org/10.3390/admsci13040114
Xia L, Semirumi DT, Rezaei R. A thorough examination of smart city applications: exploring challenges and solutions throughout the life cycle with emphasis on safeguarding citizen privacy. Sustainable Cities Soc. 2023;98:104771. DOI: https://doi.org/10.1016/j.scs.2023.104771
Prologis Technology (Shanghai) Co. L. Smart Logistics Park White paper (2021). 2021.
Tran-Dang H, Kim JW, Lee JM, Kim DS. Shaping the future of logistics: data-driven technology approaches and strategic management. IETE Tech Rev. 2025;42(1):44-79. DOI: https://doi.org/10.1080/02564602.2024.2445513
Standardization Administration of China. Information technology service - digital transformation - maturity model and assessment (GB/T 43439-2023). China: Standardization Administration of China; 2024. (In Chinese)
Treviño-Elizondo BL, García-Reyes H, Peimbert-García RE. A maturity model to become a smart organization based on lean and Industry 4.0 synergy. Sustainability. 2023;15(17):13151. DOI: https://doi.org/10.3390/su151713151
Kaiser ZRMA. Smart governance for smart cities and nations. J Econ Technol. 2024;2:216-34. DOI: https://doi.org/10.1016/j.ject.2024.07.003
Das DK. Digital technology and AI for smart sustainable cities in the global south: a critical review of literature and case studies. Urban Sci. 2025;9(3):72. DOI: https://doi.org/10.3390/urbansci9030072
Chaopaisarn P, Woschank M. Maturity model assessment of SMART logistics for SMEs. Chiang Mai Univ J Nat Sci. 2021;20(2):1-8. DOI: https://doi.org/10.12982/CMUJNS.2021.025
Liu Y, Kim S, Sun J. The implications of smart logistics policy on corporate performance: evidence from listed companies in China. Heliyon. 2024;10(17):e36623. DOI: https://doi.org/10.1016/j.heliyon.2024.e36623
National Public Service Platform for Standards Information. Evaluation indicators for new-type smart cities (GB/T 33356-2022). China: Standardization Administration of China; 2022. (In Chinese)
Rojas-García JA, Elias-Giordano C, Quiroz-Flores JC, Nallusamy S. Profitability enhancement by digital transformation and canvas digital model on strategic processes in post-Covid-19 in logistics SMEs. Soc Sci Humanit Open. 2024;9:100777. DOI: https://doi.org/10.1016/j.ssaho.2023.100777
Lee PF, Lam WS, Lam WH. Performance evaluation of the efficiency of logistics companies with data envelopment analysis model. Mathematics. 2023;11(3):718. DOI: https://doi.org/10.3390/math11030718
Chen W. Digital economy development, corporate social responsibility and low-carbon innovation. Corp Soc Responsib Environ Manag. 2023;30(4):1664-79. DOI: https://doi.org/10.1002/csr.2443
National Intelligent Standards Committee. Research report on smart industrial park standard system (2022). China: National Intelligent Standards Committee; 2022. (In Chinese)
National Standardization Administration. Logistics park service specifications and evaluation indicators (GB/T 30334-2024). China: Standardization Administration of China; 2024. (In Chinese)
Ministry of Transport of the People's Republic of China. Guidelines for the construction of intelligent logistics standard system for transportation (2022) [Internet]. 2022 [cited 2023 Apr 22]. Available from: https://xxgk.mot.gov.cn/2020/jigou/kjs/202210/
P020221024387445019797.pdf. (In Chinese)
General Office of the State Council People's Republic of China. The 14th five-year plan for the development of modern logistics [Internet]. 2022 [cited 2023 May 20]. Available from: https://www.gov.cn/zhengce/content/2022-12/15/content_5732092.htm. (In Chinese)
Liang H, Lin S, Wang J. Impact of technological innovation on carbon emissions in China's logistics industry: based on the rebound effect. J Cleaner Prod. 2022;377:134371. DOI: https://doi.org/10.1016/j.jclepro.2022.134371
Mailani D, Hulu MZT, Simamora MR, Kesuma SA. Resource-based view theory to achieve a sustainable competitive advantage of the firm: systematic literature review. Int J Entrep Sustain Stud. 2024;4(1):1-15. DOI: https://doi.org/10.31098/ijeass.v4i1.2002
Jiang J, Wang X, Xu G, Jiang S, Gu J, Zhang J. Exploring the coupling coordination and spatial correlation of logistics industry and regional economy in the context of sustainable development: evidence from the Yangtze River Delta region. Sustainability. 2023;15(2):992. DOI: https://doi.org/10.3390/su15020992
Alavi-Borazjani SA, Bengue AA, Chkoniya V, Shafique MN. An overview of critical success factors for digital shipping corridors: a roadmap for maritime logistics modernization. Sustainability. 2025;17(12):5537. DOI: https://doi.org/10.3390/su17125537
Shang C, Li Y. Research on the development countermeasures of smart logistics park in central and western regions based on big data. 2021 3rd International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI); 2021 Dec 3-5; Taiyuan, China. USA: IEEE; 2021. p. 439-43. DOI: https://doi.org/10.1109/MLBDBI54094.2021.00089
Lu C, Aritua B, de Leijer H, van Liere R, Lee PTW. Exploring causes of growth in China's inland waterway transport, 1978–2018: documentary analysis approach. Transp Policy. 2023;136:47-58. DOI: https://doi.org/10.1016/j.tranpol.2023.02.011
Calderón-Rivera N, Bartusevičienė I, Ballini F. Sustainable development of inland waterways transport: a review. J Shipp Trd. 2024;9:3. DOI: https://doi.org/10.1186/s41072-023-00162-9
He N, Jian M, Liu S, Wu J, Chen X. Do publicly developed logistics parks cause carbon emission transfer? Evidence from Chengdu. Transp Res D: Transp Environ. 2023;125:103988. DOI: https://doi.org/10.1016/j.trd.2023.103988
Wudhikarn R, Chakpitak N, Neubert G. A literature review on performance measures of logistics management: an intellectual capital perspective. Int J Prod Res. 2018;56(13):4490-520. DOI: https://doi.org/10.1080/00207543.2018.1431414
